Dr. Wen, Peihan is an associate professor of the School of Management Science and Real Estate at Chongqing University, China. He received the BEng degree in Mechanical Engineering and Automation in 2004, and the PhD degree in Management Science and Engineering in 2010, both from Tsinghua University, China. He has published over 50 referred SCIE/SSCI/EI papers in peer-reviewed journals and international conference proceedings. His current research interests encompass Knowledge Graph and Complex Networks, Information Systems and Intelligent Interaction, Smart Logistics and Supply Chain Management.

Dr. Wen is a director of the Chinese Ergonomics Society (CES), a committee member and deputy secretary general of the Technical Committee (TC) of Intelligent Interaction and Experience in the CES, a senior member of the Chinese Society of Technology Economics (CSTE), and a committee member of the TC of Engineering Construction Management in the CSTE, as well as a standing director of Tsinghua Alumni Association of Department of Industrial Engineering.

Google Scholar｜https://scholar.google.com/citations?user=iq4wcT4AAAAJ

ORCID｜https://orcid.org/0000-0002-7228-0000

Selected Papers

[1] Hu, Yaping; Wen, Peihan*; Dai, Yujie. (2026). A knowledge-augmented multi-stage reasoning approach for wind turbine fault cause analysis. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/TII.2026.3658534

[2] Wen, Peihan*; Zhang, Tian; Hu, Yaping; Tao, Lizhu. (2026). A novel knowledge graph-based identification method for key quality characteristics of complex products. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2025.129112

[3] Fu, Yuan; Wen, Peihan*; Wu, Junlin; Shu, Yujiao. (2025). Exploring knowledge structure of carbon neutrality policies: Combining computational text mining and semantic knowledge graph. Energy Strategy Reviews. https://doi.org/10.1016/j.esr.2025.101976

[4] Yang, Zeyu; Wen, Peihan*. (2025). Data-driven reinforcement learning- based optimization of shared warehouse storage locations. Computers & Industrial Engineering. https://doi.org/10.1016/j.cie.2025.111195

[5] Fu, Yuan; Wu, Junlin; Barbrook-Johnson, Pete; Wen, Peihan*. (2025). Evaluating social perceptions and diffusion networks of green travel: A case of China with Weibo. Transport Policy. https://doi.org/10.1016/j.tranpol.2025.04.028

[6] Wen, Peihan*; Wu, Junlin; Wu, Yufan; Fu, Yuan. (2024). A novel synthetical hierarchical community paradigm for social network division from the perspective of information ecosystem. Technology in Society. https://doi.org/10.1016/j.techsoc.2024.102784

[7] Wen, Peihan*; Ma, Yan; Wang, Ruiquan. (2023). Systematic knowledge modeling and extraction methods for manufacturing process planning based on knowledge graph. Advanced Engineering Informatics. https://doi.org/10.1016/j.aei.2023.102172

[8] Wen, Peihan*; Chen, Mo. (2023). A new model for elderly emotional care routing and scheduling with multi-agency and the combination of nearby services. International Journal of Human-Computer Interaction. https://doi.org/10.1080/10447318.2022.2050544

[9] Wen, Peihan*; Wang, Ruiquan. (2022). Does knowledge structure matter? Key factors influencing formal and informal knowledge sharing in manufacturing. Journal of Knowledge Management. https://doi.org/10.1108/JKM-06-2021-0478

Courses

For Undergraduates: Knowledge Modeling and Agent Design, Operations Research, Innovation Engineering and Practice, etc.

For Graduates: Advanced Operations Research, International Logistics Engineering, Generative Artificial Intelligence and Large Language Models, Information Management and Business Intelligence, Intelligent Manufacturing Technologies and Systems, etc.