Publications
Authored Book
• Zheng P.*, Chen C.-H., Wang Z. X. Smart Product-Service Systems, 2021, Elsevier, ISBN: 9780323852470.
• Li S., Zheng P.*, Wang L. Proactive Human-Robot Collaboration Toward Human-Centric Smart Manufacturing, 2024, Elsevier, ISBN: 9780443139444.
SCIE-indexed Journal Publications (*Corresponding author, #PhD supervisor, ^PhD student, +Research staff)
2024(9)
• Ren M.^, Zheng, P.* Towards smart product-service systems 2.0: A retrospect and prospect. Advanced Engineering Informatics, 2024, 61, 102466. https://doi.org/10.1016/j.aei.2024.102466
• Xia, L.^, Li, C.^, Zhang, C., Liu, S.+, & Zheng, P.* Leveraging error-assisted fine-tuning large language models for manufacturing excellence. Robotics and Computer-Integrated Manufacturing, 2024, 88, 102728. https://doi.org/10.1016/j.rcim.2024.102728
• Zhou, P., Zheng, P., Qi, J.*, Li, C., Lee, H. Y., Duan, A., … & Navarro-Alarcon, D. Reactive human–robot collaborative manipulation of deformable linear objects using a new topological latent control model. Robotics and Computer-Integrated Manufacturing, 2024, 88, 102727. https://doi.org/10.1016/j.rcim.2024.102727
• Leng, J., Zhu, X., Huang, Z., Li, X., Zheng, P., Zhou, X., … & Liu, Q. Unlocking the power of industrial artificial intelligence towards Industry 5.0: Insights, pathways, and challenges. Journal of Manufacturing Systems, 2024, 73, 349-363. https://doi.org/10.1016/j.jmsy.2024.02.010
• Lin, Q. ^, Zheng, P.*, Zhang, Y., Xia, L. ^, Zhang, Z., & Liang, J. Establishing a dynamic and static knowledge model of the manufacturing cell management system: An active push approach. Expert Systems with Applications, 2024, 243, 122713. https://doi.org/10.1016/j.eswa.2023.122713
• Wang, T. ^, Zheng, P.*, Li, S. ^, & Wang, L.* Multimodal Human–Robot Interaction for Human‐Centric Smart Manufacturing: A Survey. Advanced Intelligent Systems, 2023, 2300359. https://doi.org/10.1002/aisy.202300359
• Xia, L. ^, Zheng, P.*, Li, J., Huang, X., & Gao, R. X. Histogram-Based Gradient Boosting Tree: A Federated Learning Approach for Collaborative Fault Diagnosis. IEEE/ASME Transactions on Mechatronics, 2024 (early access), https://doi.org/10.1109/TMECH.2023.3331712
• Sun, C., Gao, L., Li, X., Zheng, P., & Gao, Y. An Incremental Knowledge Learning Framework for Continuous Defect Detection. IEEE Transactions on Instrumentation and Measurement. 2024, 73. https://doi.org/10.1109/TIM.2023.3343768
• Wang, B., Zhou, H., Li, X., Yang, G., Zheng, P., Song, C., … & Wang, L. Human Digital Twin in the context of Industry 5.0. Robotics and Computer-Integrated Manufacturing, 2024, 85, 102626. https://doi.org/10.1016/j.rcim.2023.102626
2023(30)
• Lim, K. Y. H., Yosal, T. S., Chen, C. H., Zheng, P., Wang, L., & Xu, X. Graph-enabled cognitive digital twins for causal inference in maintenance processes. International Journal of Production Research, 2023, 1-18. https://doi.org/10.1080/00207543.2023.2274335
• Leng, J., Zhong, Y., Lin, Z., Xu, K., Mourtzis, D., Zhou, X., Zheng, P., … & Shen, W. Towards resilience in Industry 5.0: A decentralized autonomous manufacturing paradigm. Journal of Manufacturing Systems, 2023, 71, 95-114. https://doi.org/10.1016/j.jmsy.2023.08.023
• Shang, S.^, Wang, C., Liang, X., Cheung, C. F.*, & Zheng, P. Surface Roughness Prediction in Ultra-Precision Milling: An Extreme Learning Machine Method with Data Fusion. Micromachines, 2023, 14(11), 2016. https://doi.org/10.3390/mi14112016
• Leng, J., Guo, J., Zhang, H., Xu, K., Qiao, Y., Zheng, P., & Shen, W. Dual deep reinforcement learning agents-based integrated order acceptance and scheduling of mass individualized prototyping. Journal of Cleaner Production, 2023, 139249. https://doi.org/10.1016/j.jclepro.2023.139249
• Yin, Y.^, Zheng, P.*, Li, C.^, Cong, J.+, & Pang, Y. M. An empirical study of an MR-enhanced kinematic prototyping approach for articulated products. Advanced Engineering Informatics, 2023, 58, 102203. https://doi.org/10.1016/j.aei.2023.102203
• Leng, J., Lin, Z., Zhou, M., Liu, Q., Zheng, P.*, Liu, Z., & Chen, X. Multi-layer parallel transformer model for detecting product quality issues and locating anomalies based on multiple time‑series process data in Industry 4.0. Journal of Manufacturing Systems, 2023, 70, 501-513. https://doi.org/10.1016/j.jmsy.2023.08.013
• Liu, T.+, Zheng, P.*, & Liu, X. A multiple scale spaces empowered approach for welding radiographic image defect segmentation. NDT & E International, 2023,139, 102934. https://doi.org/10.1016/j.ndteint.2023.102934
• HUANG, S., Haiwei, L. U. O., ZHENG, P., Ni, M. A., Jianpeng, C. H. E. N., Guangyu, M. O., … & Yan, Y. A. N. Towards Industrial Metaverse: Opportunities and challenges. Journal of Advanced Manufacturing Science and Technology, 2023, 3(4), 2023011. https://doi.org/10.51393/j.jamst.2023011
• Liu, S.+, Zheng, P.*, Xia, L.^, & Bao, J. A dynamic updating method of digital twin knowledge model based on fused memorizing-forgetting model. Advanced Engineering Informatics, 2023, 57, 102115. https://doi.org/10.1016/j.aei.2023.102115
• Xiao, C.+, Zheng, P.*. Integrated system-level prognosis for hybrid systems subjected to multiple intermittent faults. Reliability Engineering & System Safety, 2023, 238, 109401. Reliability Engineering & System Safety, 2023, 232: 109068. https://doi.org/10.1016/j.ress.2023.109401
Geda, M.W.^*, Zheng, P., Kwong, C.K., Tang, Y.M. A bilevel optimisation model for the joint configuration of new and remanufactured products considering specification upgrading of used products. Journal of Intelligent Manufacturing, 2023: 1-17. https://doi.org/10.1007/s10845-023-02140-1
• Bao, Q., Zheng, P., & Dai, S.*. A digital twin-driven dynamic path planning approach for multiple automatic guided vehicles based on deep reinforcement learning. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2023: 09544054231180513. https://doi.org/10.1177/09544054231180513
• Pang, J.+, Zheng, P., Li, S.^, Liu, S.+ A verification-oriented and part-focused assembly monitoring system based on multi-layered digital twin. Journal of Manufacturing Systems, 2023, 68, 477-492. https://doi.org/10.1016/j.jmsy.2023.05.008
• Fan, J.^, Zheng, P.*, Lee, C.K.M. A Vision-based Human Digital Twin Modelling Approach for Adaptive Human-Robot Collaboration. Journal of Manufacturing Science and Engineering, 2023, 1-11. https://doi.org/10.1115/1.4062430
• Li, S.^, Zheng, P.*, Pang, S., Wang, X. V., Wang, L. Self-organising multiple human–robot collaboration: A temporal subgraph reasoning-based method. Journal of Manufacturing Systems, 2023, 68, 304-312. https://doi.org/10.1016/j.jmsy.2023.03.013
• Zheng, P., Li, S.^, Fan, J.^, Li, C.^, Wang, L.* A collaborative intelligence-based approach for handling human-robot collaboration uncertainties. CIRP Annals – Manufacturing Technology, 2023, 72(1), 1-4. https://doi.org/10.1016/j.cirp.2023.04.057
• Liu, T.+, Zheng, H., Zheng, P.*, Bao, J., Wang, J., Liu, X., Yang C. (2023) An expert knowledge-empowered CNN approach for welding radiographic image recognition. Advanced Engineering Informatics, 56, 101963. https://doi.org/10.1016/j.aei.2023.101963
• Liu, T.+, Zheng, P.*, Bao, J., Chen, H. A state-of-the-art survey of welding radiographic image analysis: Challenges, technologies and applications. (2023) Measurement, 214, 112821. https://doi.org/10.1016/j.measurement.2023.112821
• Dong, K.^, Wang, Y., Wang, Z., Qiu, W., Zheng, P., & Xiong, Y. (2023). Reusability and energy absorption behavior of 4D printed continuous fiber-reinforced auxetic composite structures. Composites Part A: Applied Science and Manufacturing, 169, 107529. https://doi.org/10.1016/j.compositesa.2023.107529
• Liu, S.+, Bao, J., & Zheng, P.* (2023). A review of digital twin-driven machining: From digitization to intellectualization. Journal of Manufacturing Systems, 67, 361-378. https://doi.org/10.1016/j.jmsy.2023.02.010
• Liang, Y.^, Zheng, P.*, & Xia, L.^ (2023). A visual reasoning-based approach for driving experience improvement in the AR-assisted head-up displays. Advanced Engineering Informatics, 55, 101888. https://doi.org/10.1016/j.aei.2023.101888
• Xiao, Q.*, Yang, Z., Zhang, Y., & Zheng, P. (2023). Adaptive optimal process control with actor-critic design for energy-efficient batch machining subject to time-varying tool wear. Journal of Manufacturing Systems, 67, 80-96. https://doi.org/10.1016/j.jmsy.2023.01.005
• Yin, Y.^, Zheng, P.*, Li, C.^, & Wang, L. (2023). A state-of-the-art survey on Augmented Reality-assisted Digital Twin for futuristic human-centric industry transformation. Robotics and Computer-Integrated Manufacturing, 81, 102515. https://doi.org/10.1016/j.rcim.2022.102515
• Zhang, X.^, Fan, J.^, Peng, T.*, Zheng, P.**, Zhang, X., & Tang, R. Multimodal data-based deep learning model for sitting posture recognition toward office workers’ health promotion. Sensors and Actuators A: Physical, 2023, 350: 114150. https://doi.org/10.1016/j.sna.2022.114150
• Li S., Zheng, P.*, Liu, S., Wang, Z., Wang, X., Zheng, L., Wang, L. Proactive human–robot collaboration: Mutual-cognitive, predictable, and self-organising perspectives. Robotics and Computer-Integrated Manufacturing, 2023, 81: 102510. https://doi.org/10.1016/j.rcim.2022.102510
• Xia, L.^, Liang, Y.^, Leng, J., Zheng, P*. Maintenance planning recommendation of complex industrial equipment based on knowledge graph and graph neural network. Reliability Engineering & System Safety, 2023, 232: 109068. https://doi.org/10.1016/j.ress.2022.109068
• Li C., Zheng, P.*, Yin, Y., Wang, B., Wang, L. Deep reinforcement learning in smart manufacturing: A review and prospects. CIRP Journal of Manufacturing Science and Technology, 2023, 45: 75-101. https://doi.org/10.1016/j.cirpj.2022.11.003
• Zhou, P., Zheng, P., Qi, J., Li, C., Duan, A., Xu, M., Wu, V., Navarro-Alarcon, D.* Neural reactive path planning with Riemannian motion policies for robotic silicone sealing. Robotics and Computer-Integrated Manufacturing, 2023, 81: 102518. https://doi.org/10.1016/j.rcim.2022.102518
• Li C., Zheng, P.*, Yin, Y., Pang, YM., Huo, S. An AR-assisted Deep Reinforcement Learning-based approach towards mutual-cognitive safe human-robot interaction. Robotics and Computer-Integrated Manufacturing, 2023, 80: 102471. https://doi.org/10.1016/j.rcim.2022.102471
• Dong, L., Ren M., Xiang, Z., Zheng, P., Cong J., Chen C.H.. A novel smart product-service system configuration method for mass personalization based on knowledge graph. Journal of Cleaner Production, 2023, 382: 135270. https://doi.org/10.1016/j.jclepro.2022.135270
2022 (24)
• Xia, L., Liang, Y., Zheng, P.*, Huang, X. Residual-Hypergraph Convolution Network: A Model-Based and Data-Driven Integrated Approach for Fault Diagnosis in Complex Equipment. IEEE Transactions on Instrumentation and Measurement, 2022 (early access). https://doi.org/10.1109/TIM.2022.3227609
• Lyu, P.+, Zheng, P.*, Liu, C., Xia, M. A Novel Multiview Sampling-based Meta Self-Paced Learning Approach for Class-imbalanced Intelligent Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement, 2022, 71, 1-12. https://doi.org/10.1109/TIM.2022.3214628
• Fan, J.^, Zheng, P.*, Li, S.^, Wang, L. An integrated hand-object dense pose estimation approach with explicit occlusion awareness for human-robot collaborative disassembly. IEEE Transactions on Automation Science and Engineering, 2022: 1-10. https://doi.org/10.1109/TASE.2022.3215584
• Liu, S., Lu, Y.*, Zheng, P., Shen, H., Bao, J. Adaptive reconstruction of digital twins for machining systems: A transfer learning approach. Robotics and Computer-Integrated Manufacturing, 2022, 78: 102390. https://doi.org/10.1016/j.rcim.2022.102390
• Zhang, R., Li, J., Zheng, P., Lu, Y., Bao, J.*, Sun, X. A fusion-based spiking neural network approach for predicting collaboration request in human-robot collaboration. Robotics and Computer-Integrated Manufacturing, 2022, 78, 102383. https://doi.org/10.1016/j.rcim.2022.102383
• Zhang, X.^, Fan, J.^, Peng, T.*, Zheng, P.*, Lee, C.K.M., Tang, R. A privacy-preserving and unobtrusive sitting posture recognition system via pressure array sensor and infrared array sensor for office workers. Advanced Engineering Informatics, 2022, 53, 101690. https://doi.org/10.1016/j.aei.2022.101690
• Li, C.^, Zheng, P.*, Li, S.^, Pang Y.M.+, Lee CKM. AR-assisted Digital Twin-enabled Robot Collaborative Manufacturing System with Human-in-the-loop. Robotics and Computer-Integrated Manufacturing, 2022, 76, 102321. https://doi.org/10.1016/j.rcim.2022.102321
• Li, S.^, Zheng, P.*, Fan, J.^, Wang L. Towards Proactive Human-Robot Collaborative Assembly: A Multimodal Transfer Learning-Enabled Approach. IEEE Transactions on Industrial Electronics, 2022, 69(8): 8579-8587. https://doi.org/10.1109/TIE.2021.3105977
• Xia, L., Zheng, P.*, Li, X., Gao, R.X., & Wang, L. Toward cognitive predictive maintenance: A survey of graph-based approaches. Journal of Manufacturing Systems, 2022, 64, 107-120. https://doi.org/10.1016/j.jmsy.2022.06.002
• Lv, Q., Zhang, R., Liu, T.+, Zheng, P., Jiang, Y., Li, J., Bao, J., Xiao, L. A strategy transfer approach for intelligent human-robot collaborative assembly. Computers & Industrial Engineering, 168, 108047. https://doi.org/10.1016/j.cie.2022.108047
• Fan, J.^, Zheng, P.*, Li, S.^. Vision-based Holistic Scene Understanding Towards Proactive Human-Robot Collaboration. Robotics and Computer-Integrated Manufacturing, 2022, 75, 102304. https://doi.org/10.1016/j.rcim.2021.102304
• Wu, Y., Zhou, L.*, Zheng, P., Sun, Y., Zhang, K. A digital twin-based multidisciplinary collaborative design approach for complex engineering product development. Advanced Engineering Informatics, 2022, 52, 101635. https://doi.org/10.1016/j.aei.2022.101635
• Wang, B., Zheng, P.*, Yin Y.^, Shih, A., Wang L. Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective. Journal of Manufacturing Systems, 2022, 63, 471-490. https://doi.org/10.1016/j.jmsy.2022.05.005
• Zhang, R., Lv, J., Li, J., Bao, J.*, Zheng, P., Peng, T. A graph-based reinforcement learning approach for adaptive human-robot collaborative assembly operations. Journal of Manufacturing Systems, 2022, 63, 491-503. https://doi.org/10.1016/j.jmsy.2022.05.006
• Xu, C., Wang, J., Tao, J., Zhang, J.*, Zheng, P. A knowledge augmented deep learning method for vision-based yarn contour detection. Journal of Manufacturing Systems, 2022, 63, 317-328. https://doi.org/10.1016/j.jmsy.2022.04.006
• Cui, J., Ren, L.*, Mai, J., Zheng, P., Zhang, L. 3D Printing in the Context of Cloud Manufacturing. Robotics and Computer-Integrated Manufacturing, 2022, 74, 102256. https://doi.org/10.1016/j.rcim.2021.102256
• Cong, J., Zheng, P., Bian, Y., Chen, C.H.*, Li, J.**, Li, X. A machine learning-based iterative design approach to automate user satisfaction degree prediction in smart product-service system. Computers & Industrial Engineering, 2022, 165, 107939. https://doi.org/10.1016/j.cie.2022.107939
• Liu, B., Chen, C.H., Zheng, P.*, Zhang, G. An Adaptive Parallel Feature Learning and Hybrid Feature Fusion-Based Deep Learning Approach for Machining Condition Monitoring. IEEE Transactions on Cybernetics, 2022, 1-12. https://doi.org/10.0.4.85/TCYB.2022.3178116
Zheng, P., Li, S., Xia, L., Wang, L.*, Nassehi, A. A visual reasoning-based approach for mutual-cognitive human-robot collaboration. CIRP Annals – Manufacturing Technology, 2022, 71 (1): 377 – 380. https://doi.org/10.1016/j.cirp.2022.04.016
• Liu, T., Zheng, H., Bao, J.*, Zheng, P., Wang, J., Yang, C., Gu, J. An Explainable Laser Welding Defect Recognition Method Based on Multi-Scale Class Activation Mapping. IEEE Transactions on Instrumentation and Measurement, 2022, 71, 1-12. https://doi.org/10.1109/TIM.2022.3148739
• Zhang, X., Zheng, P., Peng, T.*, He, Q., Lee, C. K., Tang, R. Promoting employee health in smart office: A survey. Advanced Engineering Informatics, 2022, 51, 101518. https://doi.org/10.1016/j.aei.2021.101518
• Liu, S., Sun, Y., Zheng, P.*, Lu, Y., Bao, J.**. Establishing a reliable mechanism model of the digital twin machining system: An adaptive evaluation network approach. Journal of Manufacturing Systems, 2022, 62, 390–401. https://doi.org/10.1016/j.jmsy.2021.12.008
• Bao, Q., Zhao, G., Yu, Y.*, Zheng, P. A node2vec-based graph embedding approach for unified assembly process information modeling and workstep execution time prediction. Computers & Industrial Engineering, 2022, 163, 107864. https://doi.org/10.1016/j.cie.2021.107864
• Wang, Z., Chen, C.H., Zheng, P.*, Li, X., Song, W. A hypergraph-based approach for context-aware smart product-service system configuration. Computers & Industrial Engineering, 2022, 163, 107816. https://doi.org/10.1016/j.cie.2021.107816
2021 (13)
• Li, X., Zheng, P.*, Bao, J., Gao, L., Xu, X. Achieving cognitive mass personalization via the self-X cognitive manufacturing network: An industrial-knowledge-graph-and graph-embedding-enabled pathway. Engineering, 2021. https://doi.org/10.1016/j.eng.2021.08.018
• Wang, Z., Chen, C. H., Li, X.*, Zheng, P., & Khoo, L. P. A context-aware concept evaluation approach based on user experiences for smart product-service systems design iteration. Advanced Engineering Informatics, 2021, 50, 101394. https://doi.org/10.1016/j.aei.2021.101394
• Zheng P.*, Xia L.Q., Li C.X., Li X.Y.**, Liu B.F. Towards Self-X Cognitive Manufacturing Network: An Industrial Knowledge Graph-Based Multi-Agent Reinforcement Learning Approach. Journal of Manufacturing Systems, 2021, 61: 16-26. https://doi.org/10.1016/j.jmsy.2021.08.002
• Liu, C.*, Zheng, P., & Xu, X. Digitalisation and servitisation of machine tools in the era of Industry 4.0: a review. International Journal of Production Research, 2021, 1-33. https://doi.org/10.1080/00207543.2021.1969462
• Song, W., Niu, Z., Zheng, P. Design concept evaluation of smart product-service systems considering sustainability: An integrated method. Computers & Industrial Engineering, 2021, 159, 107485. https://doi.org/10.1016/j.cie.2021.107485
• Li S. F., Wang R. B., Zheng P.*, Wang L. H. Towards proactive human-robot collaboration: A foreseeable cognitive manufacturing paradigm. Journal of Manufacturing Systems, 2021. https://doi.org/10.1016/j.jmsy.2021.07.017
• Xia L. Q., Zheng P.*, Huang X., Liu C. A novel hypergraph convolution network-based approach for predicting the material removal rate in chemical mechanical planarization. Journal of Intelligent Manufacturing, 2021. https://doi.org/10.1007/s10845-021-01784-1
• Dai S., Zhao G., Yu, Y., Zheng P.*, Bao Q. W., Wang W. Ontology-based information modeling method for digital twin creation of as-fabricated machining parts, Robotics and Computer-Integrated Manufacturing, 2021, 72, 102173. https://doi.org/10.1016/j.rcim.2021.102173
• Zhang G.*, Wang G., Chen C.-H., Cao X., Zhang Y., Zheng P. Augmented Lagrangian coordination for energy-optimal allocation of smart manufacturing services. Robotics and Computer-Integrated Manufacturing, 2021, 71, 102161. https://doi.org/10.1016/j.rcim.2021.102161
• Li X.*, Lyu M., Wang Z., Chen C.-H., Zheng P. Exploiting knowledge graphs in industrial products and services: A survey of key aspects, challenges, and future perspectives. Computers in Industry, 2021, 129, 103449. https://doi.org/10.1016/j.compind.2021.103449
• Bu L. G., Chen C.-H., Ng. K. K. H.*, Zheng P.**, Dong G. J., Liu H. S. A user-centric design approach for smart product-service systems using virtual reality: A case study. Journal of Cleaner Production, 2021, 280, 124413. https://doi.org/10.1016/j.jclepro.2020.124413
• Zhang J., Deng C.*, Zheng P., Xu X., Ma Z. Development of an edge computing-based cyber-physical machine tool. Robotics and Computer-Integrated Manufacturing, 2021, 67: 102042. https://doi.org/10.1016/j.rcim.2020.102042.
• Li X. Y.*, Wang Z. X., Chen C.-H., Zheng, P**. A Data-driven Reversible Framework for Achieving Sustainable Smart Product-Service Systems. Journal of Cleaner Production, 2021, 123618. https://doi.org/10.1016/j.jclepro.2020.123618.
2020 (12)
• Zheng P.*, Sivabalan A. S. A generic tri-model-based approach for product-level digital twin development in a smart manufacturing environment. Robotics and Computer-Integrated Manufacturing, 2020, 64: 101958. https://doi.org/10.1016/j.rcim.2020.101958.
• Zheng P.*, Xu X., Chen C.-H. A data-driven cyber-physical approach for personalised smart, connected product co-development in a cloud-based environment. Journal of Intelligent Manufacturing, 2020, 31: 3-18. (ESI High Cited Paper). https://doi.org/10.1007/s10845-018-1430-y.
• Li S. F., Zheng P., Zheng L., An AR-Assisted Deep Learning-Based Approach for Automatic Inspection of Aviation Connectors, IEEE Transactions on Industrial Informatics, 2020, 17(3): 1721 – 1731. https://doi.org/10.1109/TII.2020.3000870
• Zhang G., Chen C.-H., Zheng P.*, Zhong R. Y., An integrated framework for active discovery and optimal allocation of smart manufacturing services, Journal of Cleaner Production, 2020, 273: 123144. https://doi.org/10.1016/j.jclepro.2020.123144
• Cong J, Chen C.-H., Zheng P.*, Li X. Y., Wang Z. X., A Holistic Relook at Engineering Design Methodologies for Smart Product-Service Systems Development, Journal of Cleaner Production, 2020, 272: 122737. https://doi.org/10.1016/j.jclepro.2020.122737
• Li X. Y.*, Chen C.-H., Zheng P., Wang Z. X., Jiang Z. H., Jiang Z. X., A Knowledge Graph-aided C-K Approach for Evolutionary Smart Product-Service System Development. ASME Journal of Mechanical Design, 2020, 142(10): 101403. https://doi.org/10.1115/1.4046807.
• Cong J, Chen C.-H., Zheng P*. Design entropy theory: A new design methodology for smart PSS development, Advanced Engineering Informatics, 2020, 45: 101124. https://doi.org/10.1016/j.aei.2020.101124.
• Lim Y. H., Zheng P.*, Chen C.-H. A State-of-the-Art Survey of Digital Twin: Techniques, Engineering Product Lifecycle Management and Business Innovation Perspectives. Journal of Intelligent Manufacturing,2020,31:1313–1337.(ESI High Cited Paper)https://doi.org/10.1007/s10845-019-01512-w.
• Li F., Chen C.-H., Zheng P.*,Feng S. S., Xu G. Y., Khoo L. P. An Explorative Context-aware Machine Learning Approach to Reducing Human Fatigue Risks of Traffic Control Operators. Safety Science, 2020. https://doi.org/10.1016/j.ssci.2020.104655.
• Wang Y. B., Zheng P., Peng T., Yang H. Y., Zou J.*, Smart additive manufacturing: current artificial intelligence-enabled methods and future perspectives. Science China Technological Sciences, 2020:1-13. https://doi.org/10.1007/s11431-020-1581-2.
• Wang Y. B.*, Liu M. G., Zheng P., Yang H. Y., Zou J. A smart surface inspection system using faster R-CNN in cloud-edge computing environment. Advanced Engineering Informatics. 2020, 43: 101037. https://doi.org/10.1016/j.aei.2020.101037.
• Lai H. Y., Chen C.-H., Zheng P.*, Khoo L. P., Investigating the evolving context of an unstable approach in aviation from mental model disconnects with an agent-based model. Reliability Engineering & System Safety, 2020, 193: 106657. https://doi.org/10.1016/j.ress.2019.106657.
2019 (14)
• Zheng P., Liu Y., Tao F., Wang Z. X, Chen C.-H.*, Wang Z. X. Smart product-service systems design via hybrid crowd sensing approach, IEEE ACCESS, 2019, 7, 128463 – 128473. https://doi.org/10.1109/ACCESS.2019.2939828.
• Zheng P.*, Wang Z. X., Chen C.-H., Khoo L. P. A Survey of Smart Product-Service Systems: Key Aspects, Challenges, and Future Perspective. Advanced Engineering Informatics, 2019, 42: 100973. https://doi.org/10.1016/j.aei.2019.100973.
• Zheng P.*, Chen C.-H., Shang S. Y. Towards an Automatic Engineering Change Management in Smart Product-Service Systems – A DSM-based Learning Approach. Advanced Engineering Informatics, 2019, 39: 209-213. https://doi.org/10.1016/j.aei.2019.01.002.
• Zheng P., Xu X., Xie S. Q.*, A weighted interval rough number-based method to determining relative importance ratings of customer requirements in QFD product planning, Journal of Intelligent Manufacturing, 2019, 30(1): 3-16. https://doi.org/10.1007/s10845-016-1224-z.
• Zheng P.*, Lin Y., Chen C.-H., Xu X. Smart, connected open architecture product: an IT-driven co-creation paradigm with lifecycle personalization concerns. International Journal of Production Research, 2019, 57(8): 2571-2584. https://doi.org/10.1080/00207543.2018.1530475.
• Lai H. Y., Chen C. H., Zheng P.*, Khoo L. P., Towards better information transparency in the air traffic landing system: A novel agent-based model with implicit interactions. Reliability Engineering & System Safety, 2019, 191: 106569. https://doi.org/10.1016/j.ress.2019.106569.
• Wang Z. X., Chen C.-H., Zheng P.*,Khoo L. P. A novel data-driven graph-based requirement elicitation framework in the smart product-service system context. Advanced Engineering Informatics, 2019, 42: 100983. https://doi.org/10.1016/j.aei.2019.100983.
• Liu B. F., Zhang Y. F., Zhang G., Zheng P.,Edge-cloud orchestration driven industrial smart product-service systems solution design based on CPS and IIoT. Advanced Engineering Informatics, 2019, 42: 100984. https://doi.org/10.1016/j.aei.2019.100984.
• Huang, Y., Burdet, E., Cao, L., Phan, P. T., Tiong, A. M. H., Zheng, P., & Phee, S. J. Performance evaluation of a foot interface to operate a robot arm. IEEE Robotics and Automation Letters, 2020,4(4), 3302-3309. https://doi.org/10.1109/LRA.2019.2926215.
• Wang Y. B.*, Zheng P., Xu X., Yang H. Y., Zou J. Production planning for cloud-based additive manufacturing – a computer vision-based approach. Robotics and Computer-Integrated Manufacturing. 2019, 58: 145-157. https://doi.org/10.1016/j.rcim.2019.03.003
• Jiang J. C., Hu G. B.*, Li X., Xu X., Zheng P., Stringer J. Analysis and Prediction of Printable Bridge Length in Fused Deposition Modelling Based on Back Propagation Neural Network. Virtual and Physical Prototyping, 2019, 14(3): 253-266. https://doi.org/10.1080/17452759.2019.1576010.
• Sun F., Zhang D.Q.*, Cheng L., Zheng P., Liao D. M., Zhu B. Microstructure evolution modelling and simulation for dynamic recrystallization of Cr12MoV die steel during hot compression based on real metallographic image. Metals and Materials International, 2019, 25(4), 966-981. https://doi.org/10.1007/s12540-019-00249-8.
• Lai H. Y., Chen C.-H., Zheng P.*, Khoo L. P., Unstable approach in aviation: Mental model disconnects between pilots and air traffic controllers and interaction conflicts. Reliability Engineering & System Safety, 2019, 185: 383-391. https://doi.org/10.1016/j.ress.2019.01.009.
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• Zheng P., Lu Y., Xu X.*, and Xie S. Q., A system framework for OKP product planning in a cloud-based design environment. Robotics and Computer-Integrated Manufacturing, 2017, 45: 73-85. https://doi.org/10.1016/j.rcim.2016.04.001.
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