[38] Wen, H., Roberts, J., Zaidi, A., & McLeod, A. (2026). An experiment of using a large language model to control a water tank system. Computers & Chemical Engineering, 211, 109656. https://doi.org/10.1016/J.COMPCHEMENG.2026.109656

[37] Wen, H. & Mounir, A. (2026). Mathematical Modeling of Trust Calibration for Human–Automation Safety. SAE Technical Paper, (01), 530. https://doi.org/10.4271/2026-01-0530

[36] Liu, Z., Park, J., Wang, M., & Wen, H.* (2026). Insuring Algorithmic Operations: Liability Risk, Pricing, and Risk Control. Risks 2026, Vol. 14, Page 26, 14(2), 26. https://doi.org/10.3390/RISKS14020026 [Featured Article, Editor’s Article, Corresponding Author]

[35] Wen, H. (2025). Age Dependence of Occupational Fatality Risk: Is It A U-curve? SSRN. https://doi.org/10.2139/ssrn.5864642

[34] Wen, H., Roberts, J., Zaidi, A., & Moayed, F. (2025). Inherent Risk of Applying Large Language Model in Process Control System: A Perspective. Proceedings, 2025 Mary Kay O’Connor Safety & Risk Conference. https://doi.org/10.2139/ssrn.5759685

[33] Wen, H., Parsaee, M., & Sajid, Z. (2025). Modeling Dynamic Risk Perception Using Large Language Model (LLM) Agents. AI, 6(11). https://doi.org/10.3390/ai6110296 [Editor’s Article]

[32] Wen, H. (2026). A new perspective on precursors and rare events from a systematic review. Journal of Loss Prevention in the Process Industries, 99, 105785. https://doi.org/10.1016/j.jlp.2025.105785

[31] Wen, H., Sajid, Z., & Arunthavanathan, R. (2025). Risk Perception in Complex Systems: A Comparative Analysis of Process Control and Autonomous Vehicle Failures. AI, 6(8). https://doi.org/10.3390/ai6080164 [Editor’s Article]

[30] Wen, H., & Hu, P. (2025). Architectural Gaps in Generative AI: Quantifying Cognitive Risks for Safety Applications. AI, 6(7). https://doi.org/10.3390/ai6070138 [Editor’s Article]

[29] Wen, H., Abourizk, S., & Mohamed, Y. (2025). Using Large Language Models to Identify Project Risks for Sustainable Operations. CIB Conferences, 1. https://doi.org/10.7771/3067-4883.1757

[28] Wen, H., & Khan, F. (2024). A risk-based model for human-artificial intelligence conflict resolution in process systems. Digital Chemical Engineering, 13, 100194. https://doi.org/https://doi.org/10.1016/j.dche.2024.100194

[27] Wen, H., Simaan, A., & Yasser, M. (2025). Gap Analysis of Digitalization Levels in Construction and Manufacturing: A Comparative Study of Construction 4.0 and Industry 4.0. Journal of Construction Engineering and Management, 151(3), 04025001. https://doi.org/10.1061/JCEMD4.COENG-14896 [Featured Article]

[26] Wen, H., AbouRizk, S., & Mohamed, Y. (2024). A Data-Driven Accident Model (DAM): Holistic Risk Simulation Using Explainable Artificial Intelligence. Available at SSRN 4678045.

[25] Wen, H., AbouRizk, S., Mohamed, Y., & Huang, R. (2024, December). A Framework of Project Risk Simulation with Event Knowledge Graph. 2024 Winter Simulation Conference. https://doi.org/10.1109/WSC63780.2024.10838960

[24] Wen, H. (2024a). A Model of Proactive Safety Based on Knowledge Graph. ArXiv Preprint. https://doi.org/10.48550/arXiv.2407.15127

[23] Wen, H., Khan, F., AbouRizk, S., & Fu, G. (2024). Understanding of causality and its mathematical representation in accident modeling. Reliability Engineering & System Safety, 250, 110283. https://doi.org/10.1016/j.ress.2024.110283

[22] Asgary, A., Aarabi, M., Dixit, S., Wen, H., Ahmed, M., & Wu, J. (2024). A Survey of the Use of Modeling, Simulation, Visualization, and Mapping in Public Health Emergency Operations Centers during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health, 21(3). https://doi.org/10.3390/ijerph21030295

[21] Wen, H. (2023b). Vulnerability Assessment of Industrial Control System with an Improved CVSS. ArXiv Preprint. https://doi.org/10.48550/arXiv.2306.08631

[20] Wen, H., & Khan, F. (2023). Cybersecurity and process safety synergy: An analytical exploration of cyberattack-induced incidents. Canadian Journal of Chemical Engineering. https://doi.org/10.1002/cjce.25119

[19] Wen, H. (2024b). Human-AI collaboration for enhanced safety. In Methods in Chemical Process Safety. Elsevier. https://doi.org/10.1016/bs.mcps.2024.07.001

[18] Wen, H., & AbouRizk, S. (2024, June 3). Interpretation Conflict in Helmet Recognition under Adversarial Attack. https://doi.org/10.22260/ISARC2024/0082

[17] Wen, H. (2023a). The Digital Divide in Process Safety: Quantitative Risk Analysis of Human-AI Collaboration. ArXiv Preprint. https://doi.org/10.48550/arXiv.2305.17873

[16] Wen, H. (2022). Alert of the Second Decision-maker: An Introduction to Human-AI Conflict. Proceedings, 2022 Mary Kay O’Connor Safety & Risk Conference. https://doi.org/10.48550/arXiv.2305.16477

[15] Wen, H., Amin, Md. T., Khan, F., Ahmed, S., Imtiaz, S., & Pistikopoulos, E. (2023). Assessment of Situation Awareness Conflict Risk between Human and AI in Process System Operation. Industrial & Engineering Chemistry Research, 62(9), 4028–4038. https://doi.org/10.1021/acs.iecr.2c04310

[14] Wen, H., Khan, F., Ahmed, S., Imtiaz, S., & Pistikopoulos, S. (2023). Risk assessment of human-automation conflict under cyberattacks in process systems. Computers & Chemical Engineering, 172, 108175. https://doi.org/10.1016/j.compchemeng.2023.108175

[13] Wen, H., Amin, Md. T., Khan, F., Ahmed, S., Imtiaz, S., & Pistikopoulos, S. (2022). A methodology to assess human-automated system conflict from safety perspective. Computers & Chemical Engineering, 165, 107939. https://doi.org/10.1016/j.compchemeng.2022.107939

[12] Wen, H., Khan, F., Amin, M. T., & Halim, S. Z. (2022). Myths and misconceptions of data-driven methods: Applications to process safety analysis. Computers and Chemical Engineering, 158, 107639. https://doi.org/10.1016/j.compchemeng.2021.107639

[11] Wen, H., Chen, Q, Chen, B. Research on the determination of weights of OHSMS performance evaluation indicators. Industrial Safety and Environmental Protection 2012, 38 (11), 14–16.

[10] Wen, H., Chen, Q, Chen, B. Research on OHSMS performance evaluation based on trapezoidal fuzzy numbers. Journal of Safety Science and Technology 2012, 8 (6), 210–215.

[9] Chen, Q, Wen, H.*, Chen, B. Research on the maturity evaluation of HSE management system. Journal of Safety Science and Technology 2012, 8 (2), 123–128. (Corresponding Author)

[8] Chen, Q, Wen, H.*, Chen, B. Performance evaluation of occupational health and safety management system based on binary semantics. Journal of China Safety Science 2011, 21 (10), 156. (Corresponding Author)

[7] Wen, H., Chen, Q, Chen, B. Research on the maturity evaluation of occupational health and safety management system. Safety 2012, 33 (4), 29–32.

[6] Wen, H. Fall prevention campaign in the US construction industry. Modern Occupational Safety 2012, No. 10, 96–97.

[5] Wen, H. Overview of the UK HSE Industry Association. Modern Occupational Safety 2012, No. 9, 96–97.

[4] Wen, H., Chen, Q. The best companies for safety management in the United States in 2011 (Part 2). Modern Occupational Safety 2012, No. 6, 92–95.

[3] Wen, H., Chen, Q. The best companies for safety management in the United States in 2011 (Part 1). Modern Occupational Safety 2012, No. 5, 90–93.

[2] An, H, Wen, H.* On fulfilling the functions of trade unions and maintaining public safety. Chinese Workers’ Movement 2010, No. 1, 47–48. (Corresponding Author)

[1] An, H, Wen, H.* Research on accident prevention management based on analytic hierarchy process. The 7th China Management Science and Engineering Forum, 2009. (Corresponding Author)

*Corresponding Author

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