在国际重要学术期刊和国际会议上发表研究论文46篇，其中以第一作者/通讯作者发表的SCI收录论文24篇。
近期发表的代表论文有：
[1] Yuhang Zhang, Xu Han, Tianxi Wei, Xiaoyong Zhao, Yi Zhang*. (2023) Techno-environmental-economical performance of allocating multiple energy storage resources for multi-scale and multi-type urban forms towards low carbon district. Sustainable Cities and Society, 2023, 104974. JCR:Q1/IF:11.7.
[2] Chenxi Cheng, Xiangtian Deng, Xiaoyong Zhao, Yuhan Xiong, Yi Zhang*. (2023) Multi-occupant dynamic thermal comfort monitoring robot system. Building and Environment, 2023, 110341. JCR:Q1/IF:6.456.
[3] Pengshun Li, Mengyan Jiang, Yi Zhang, Yi Zhang*. (2023) Cooperative Optimization of Bus Service and Charging Schedules for a Fast-charging Battery Electric Bus Network. IEEE Transactions on Intelligent Transportation Systems, Early Access. JCR:Q1/IF: 9.551.
[4] Xiangtian Deng, Yi Zhang, Yi Zhang*, He Qi. (2022) Toward Smart Multizone HVAC Control by Combining Context-Aware System and Deep Reinforcement Learning. IEEE Internet of Things Journal, vol. 9, no. 21, pp. 21010-21024, 1 Nov.1, 2022, doi: 10.1109/JIOT.2022.3175728. JCR:Q1/IF: 10.238.
[5] Mengyan Jiang, Yi Zhang, Yi Zhang*(2022) A Branch-and-Price Algorithm for Large-Scale Multidepot Electric Bus Scheduling. IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2022.3165876. JCR:Q1/IF: 9.551.
[6] Yuhang Zhang, Yi Zhang* , Yi Zhang, Chengxu Zhang. (2022) Effect of physical, environmental, and social factors on prediction of building energy consumption for public buildings based on real-world big data. Energy. 2022, 261(2022)125286. JCR:Q1/IF: 8.857.
[7] Xiangtian Deng, Yi Zhang, Yi Zhang*, He Qi. (2022) Towards optimal HVAC control in non-stationary building environments combining active change detection and deep reinforcement learning. Building and Environment, 2022, 211 (2022) 108680. JCR:Q1/IF:6.456.
[8] Yuhang Zhang, Xiangtian Deng, Yi Zhang, Yi Zhang*. (2022) Generation of Sub-item Load Profiles for Public Buildings Based on the Conditional Generative Adversarial Network and Moving Average Method. Energy and Buildings, 2022, 268(2022)112185. JCR:Q1/IF:7.201.
[9] Pengshun Li, Yuhang Zhang, Yi Zhang, Yi Zhang*, Kai Zhang. Prediction of electric bus energy consumption with stochastic speed profile generation modelling and data driven method based on real-world big data. Applied Energy,2021, 298 (2021) 117204. JCR: Q1/IF:11.446.
[10] Rui Shang,Yi Zhang, Max Shen, Yi Zhang*. Analyzing the Effects of Road Type and Rainy Weather on Fuel Consumption and Emissions: A Mesoscopic Model Based on Big Traffic Data. IEEE Access, 2021, 3074303. JCR: Q1/IF:3.745.
[11] Pengshun Li, Yi Zhang, Yi Zhang*, Kai Zhang, Mengyan Jiang. The effects of dynamic traffic conditions, route characteristics and environmental conditions on trip-based electricity consumption prediction of electric bus. Energy, 2021,119437. JCR: Q1/IF:7.147.
[12] Yi Zhang, Ruchi Choudhary*, Kenichi Soga. Influence of GSHP System Design Parameters on the Geothermal Application and Electricity Consumption at City-Scale for Westminster, London. Energy and Buildings, 2015, 106:3-12.
[13] Yi Zhang, Kenichi Soga*, Ruchi Choudhary. Shallow Geothermal Energy Application with GSHPs at City Scale: Study on the City of Westminster. Geotechnical Letters (ICE), 2014, 4:125-131.