Zhile Yang

6.7k total citations
185 papers, 4.9k citations indexed

About

Zhile Yang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Zhile Yang has authored 185 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Electrical and Electronic Engineering, 53 papers in Artificial Intelligence and 42 papers in Control and Systems Engineering. Recurrent topics in Zhile Yang's work include Metaheuristic Optimization Algorithms Research (36 papers), Electric Vehicles and Infrastructure (33 papers) and Advanced Battery Technologies Research (29 papers). Zhile Yang is often cited by papers focused on Metaheuristic Optimization Algorithms Research (36 papers), Electric Vehicles and Infrastructure (33 papers) and Advanced Battery Technologies Research (29 papers). Zhile Yang collaborates with scholars based in China, United Kingdom and Hong Kong. Zhile Yang's co-authors include Yuanjun Guo, Kang Li, Kailong Liu, Aoife Foley, Shengzhong Feng, Qun Niu, Haiping Ma, Minrui Fei, Yusheng Xue and Kang Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.

In The Last Decade

Zhile Yang

180 papers receiving 4.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Zhile Yang 2.6k 1.3k 1.1k 878 406 185 4.9k
Qing‐Shan Jia 2.4k 0.9× 698 0.5× 659 0.6× 1.6k 1.8× 191 0.5× 202 4.5k
Pandian Vasant 1.3k 0.5× 536 0.4× 636 0.6× 869 1.0× 282 0.7× 313 3.9k
Kang Li 3.5k 1.3× 2.5k 1.9× 1.1k 1.0× 1.5k 1.7× 139 0.3× 271 6.3k
Alireza Askarzadeh 3.5k 1.3× 879 0.7× 2.3k 2.1× 1.6k 1.8× 576 1.4× 82 6.8k
Tao Zhang 1.8k 0.7× 329 0.3× 1.4k 1.3× 1.0k 1.2× 1.3k 3.1× 240 4.2k
Navid Razmjooy 1.5k 0.6× 477 0.4× 1.2k 1.2× 613 0.7× 142 0.3× 87 4.1k
Hussain Shareef 5.5k 2.1× 1.2k 0.9× 748 0.7× 2.6k 3.0× 218 0.5× 367 6.8k
David Flynn 3.1k 1.2× 738 0.6× 423 0.4× 1.3k 1.5× 81 0.2× 219 6.2k
Yan‐Fu Li 1.5k 0.6× 751 0.6× 636 0.6× 1.6k 1.8× 175 0.4× 170 5.1k
Ahmad Rezaee Jordehi 5.2k 2.0× 520 0.4× 1.7k 1.6× 2.6k 3.0× 368 0.9× 118 7.4k

Countries citing papers authored by Zhile Yang

Since Specialization
Citations

This map shows the geographic impact of Zhile Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zhile Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhile Yang more than expected).

Fields of papers citing papers by Zhile Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhile Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zhile Yang. The network helps show where Zhile Yang may publish in the future.

Co-authorship network of co-authors of Zhile Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhile Yang. A scholar is included among the top collaborators of Zhile Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhile Yang. Zhile Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Jiepeng, et al.. (2025). An integrated design framework of floating wind turbine based on surrogate-assisted many-objective optimization. Energy. 315. 134247–134247. 2 indexed citations
2.
Guo, Yuanjun, Zhile Yang, Jun‐Zhe Yang, et al.. (2025). T2MFDF: An LLM-Enhanced Multimodal Fault Diagnosis Framework Integrating Time-Series and Textual Data. IEEE Transactions on Instrumentation and Measurement. 74. 1–11. 1 indexed citations
3.
Sun, Wenjie, Chengke Wu, Chengde Xie, et al.. (2025). Fine-tuning enables state of health estimation for lithium-ion batteries via a time series foundation model. Energy. 318. 134177–134177. 6 indexed citations
4.
Zhao, Shihao, et al.. (2024). Transportable energy storage assisted post-disaster restoration of distribution networks with renewable generations. Energy. 295. 131105–131105. 14 indexed citations
5.
Niu, Qun, et al.. (2024). Unit Commitment Considering Electric Vehicles and Renewable Energy Integration—A CMAES Approach. Sustainability. 16(3). 1019–1019. 7 indexed citations
6.
Liu, Yongqian, et al.. (2024). DivideMerge: A multi-vessel optimization approach for cooperative operation and maintenance scheduling in offshore wind farm. Renewable Energy. 229. 120758–120758. 7 indexed citations
7.
Ren, Mifeng, et al.. (2024). Two‐layer dynamic economic nonlinear model predictive control for a lithium‐ion battery charge process with random disturbances. The Canadian Journal of Chemical Engineering. 102(10). 3504–3513. 1 indexed citations
8.
Wu, Zhou, et al.. (2023). Explainable temporal dependence in multi-step wind power forecast via decomposition based chain echo state networks. Energy. 270. 126906–126906. 16 indexed citations
9.
Niu, Qun, et al.. (2023). Optimal Power Flow Using Improved Cross-Entropy Method. Energies. 16(14). 5466–5466. 12 indexed citations
10.
Xiao, Qinge, Zhile Yang, Yingfeng Zhang, & Pai Zheng. (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. 20 indexed citations
11.
Zhang, Lidong, Tianyu Hu, Zhile Yang, et al.. (2023). A novel dynamic opposite learning enhanced Jaya optimization method for high efficiency plate–fin heat exchanger design optimization. Engineering Applications of Artificial Intelligence. 119. 105778–105778. 32 indexed citations
12.
Zhang, Lidong, Jiao Li, Xiandong Xu, et al.. (2023). High spatial granularity residential heating load forecast based on Dendrite net model. Energy. 269. 126787–126787. 25 indexed citations
13.
Wu, Chengke, Yuanjun Guo, Rui Jiang, et al.. (2022). Transformer-based deep learning model and video dataset for unsafe action identification in construction projects. Automation in Construction. 146. 104703–104703. 46 indexed citations
14.
Zhao, An, Lan Cheng, Yuanjun Guo, et al.. (2022). A Novel Principal Component Analysis-Informer Model for Fault Prediction of Nuclear Valves. Machines. 10(4). 240–240. 15 indexed citations
15.
Mou, Xiaolin, Daniel T. Gladwin, Rui Zhao, Hongjian Sun, & Zhile Yang. (2020). Coil Design for Wireless Vehicle-to-Vehicle Charging Systems. IEEE Access. 8. 172723–172733. 34 indexed citations
16.
Liu, Weiwei, et al.. (2019). Exploring and Visualizing the Patent Collaboration Network: A Case Study of Smart Grid Field in China. Sustainability. 11(2). 465–465. 27 indexed citations
17.
Wang, Ying, et al.. (2019). A Novel Binary Competitive Swarm Optimizer for Power System Unit Commitment. Applied Sciences. 9(9). 1776–1776. 10 indexed citations
18.
Guo, Yuanjun, Zhile Yang, Shengzhong Feng, & Jinxing Hu. (2018). Complex Power System Status Monitoring and Evaluation Using Big Data Platform and Machine Learning Algorithms: A Review and a Case Study. Complexity. 2018(1). 43 indexed citations
20.
Ma, Haiping, Zhile Yang, Pengcheng You, & Minrui Fei. (2017). Multi-objective biogeography-based optimization for dynamic economic emission load dispatch considering plug-in electric vehicles charging. Energy. 135. 101–111. 103 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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