Bing-Chuan Wang

1.9k total citations
46 papers, 1.3k citations indexed

About

Bing-Chuan Wang is a scholar working on Artificial Intelligence, Automotive Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Bing-Chuan Wang has authored 46 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 15 papers in Automotive Engineering and 15 papers in Computational Theory and Mathematics. Recurrent topics in Bing-Chuan Wang's work include Advanced Multi-Objective Optimization Algorithms (15 papers), Advanced Battery Technologies Research (15 papers) and Evolutionary Algorithms and Applications (14 papers). Bing-Chuan Wang is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (15 papers), Advanced Battery Technologies Research (15 papers) and Evolutionary Algorithms and Applications (14 papers). Bing-Chuan Wang collaborates with scholars based in China, Hong Kong and Qatar. Bing-Chuan Wang's co-authors include Han‐Xiong Li, Yong Wang, Zhizhong Liu, Ke Tang, Gary G. Yen, Yun Feng, Jiapeng Li, Qingfu Zhang, Jiapeng Li and Shuqiang Wang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Energy and Information Sciences.

In The Last Decade

Bing-Chuan Wang

44 papers receiving 1.3k citations

Peers

Bing-Chuan Wang

CTM

EEE

CSE

Yiying Zhang China

Radu‐Codruţ David Romania

Dawei Zhan China

Bavani Kannan United States

Mojtaba Ahmadieh Khanesar Iran

Alexandra-Iulia Szedlak-Stinean Romania

Bo Wei China

Claudia‐Adina Bojan‐Dragos Romania

K.N. Krishnanand India

Carlos Segura Spain

Yiying Zhang China

Bing-Chuan Wang

686 ×0.9

263 ×0.4

CTM

228 ×0.9

EEE

158 ×0.7

CSE

41 ×0.2

Citations per year, relative to Bing-Chuan Wang Bing-Chuan Wang (= 1×) peers Yiying Zhang

Countries citing papers authored by Bing-Chuan Wang

Since Specialization

Citations

This map shows the geographic impact of Bing-Chuan Wang'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 Bing-Chuan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing-Chuan Wang more than expected).

Fields of papers citing papers by Bing-Chuan Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bing-Chuan Wang. 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 Bing-Chuan Wang. The network helps show where Bing-Chuan Wang may publish in the future.

Co-authorship network of co-authors of Bing-Chuan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Bing-Chuan Wang. A scholar is included among the top collaborators of Bing-Chuan Wang 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 Bing-Chuan Wang. Bing-Chuan Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Bing-Chuan, et al.. (2025). An Adaptive Constraint Violation Evaluation Framework for Constrained Multiobjective Evolutionary Optimization. IEEE Transactions on Evolutionary Computation. 1–1. 1 indexed citations

Wang, Bing-Chuan, et al.. (2025). A Physics-Enhanced Separation Framework for Spatiotemporal Modeling of Distributed Parameter Systems With Multi-Fidelity Data. IEEE Transactions on Automation Science and Engineering. 22. 13968–13982. 1 indexed citations

Ren, Jiahui, et al.. (2025). Large language model-enhanced Bayesian optimization for parameter identification of lithium-ion batteries. Journal of Energy Storage. 135. 118198–118198.

Luo, Biao, et al.. (2024). Decentralized Multiagent Reinforcement Learning Based State-of-Charge Balancing Strategy for Distributed Energy Storage System. IEEE Transactions on Industrial Informatics. 20(10). 12450–12460.

Zuo, Qiankun, et al.. (2024). DecGAN: Decoupling Generative Adversarial Network for Detecting Abnormal Neural Circuits in Alzheimer's Disease. IEEE Transactions on Artificial Intelligence. 5(10). 5050–5063. 23 indexed citations

Wang, Bing-Chuan, et al.. (2024). ATM-R: An Adaptive Tradeoff Model With Reference Points for Constrained Multiobjective Evolutionary Optimization. IEEE Transactions on Cybernetics. 54(8). 4475–4488. 7 indexed citations

Wang, Bing-Chuan, et al.. (2024). Gaussian Process-Accelerated Multiobjective Evolutionary Design of Charging Process Considering Multiple User Preferences. IEEE Transactions on Industrial Informatics. 20(8). 10123–10133. 1 indexed citations

Wang, Bing-Chuan, et al.. (2024). Time/Space Separation-Based Physics-Informed Machine Learning for Spatiotemporal Modeling of Distributed Parameter Systems. IEEE Transactions on Systems Man and Cybernetics Systems. 55(1). 137–148. 1 indexed citations

Wang, Bing-Chuan, et al.. (2023). Fast parameter identification of lithium-ion batteries via classification model-assisted Bayesian optimization. Energy. 288. 129667–129667. 17 indexed citations

10.

Ou, Wen, Biao Luo, Bing-Chuan Wang, & Yuqian Zhao. (2023). Modular hierarchical reinforcement learning for multi-destination navigation in hybrid crowds. Neural Networks. 171. 474–484. 5 indexed citations

11.

Luo, Biao, et al.. (2023). Multiobjective Battery Charging Strategy Based on Deep Reinforcement Learning. IEEE Transactions on Transportation Electrification. 10(3). 6893–6903. 6 indexed citations

12.

Wang, Bing-Chuan, et al.. (2023). A two-stage adaptive penalty method based on co-evolution for constrained evolutionary optimization. Complex & Intelligent Systems. 9(4). 4615–4627. 9 indexed citations

13.

Wang, Bing-Chuan, Yun Feng, Xian-Bing Meng, & Shuqiang Wang. (2022). A two-phase differential evolution for minimax optimization. Applied Soft Computing. 131. 109797–109797. 3 indexed citations

14.

Wang, Bing-Chuan, Zhizhong Liu, & Song Wu. (2022). Solving constrained optimization problems via multifactorial evolution. Applied Soft Computing. 127. 109392–109392. 3 indexed citations

15.

Li, Xuhao, et al.. (2022). Combining Reduced-Order Model With Data-Driven Model for Parameter Estimation of Lithium-Ion Battery. IEEE Transactions on Industrial Electronics. 70(2). 1521–1531. 28 indexed citations

16.

Liu, Zhizhong, Bing-Chuan Wang, & Ke Tang. (2021). Handling Constrained Multiobjective Optimization Problems via Bidirectional Coevolution. IEEE Transactions on Cybernetics. 52(10). 10163–10176. 159 indexed citations

17.

Zhou, Yu, Bing-Chuan Wang, Han‐Xiong Li, Haidong Yang, & Zhi Liu. (2020). A Surrogate-Assisted Teaching-Learning-Based Optimization for Parameter Identification of the Battery Model. IEEE Transactions on Industrial Informatics. 17(9). 5909–5918. 29 indexed citations

18.

Li, Xuhao, Yu Zhou, & Bing-Chuan Wang. (2020). Modeling and simulation experiments of temperature-coupled mechanism model for lithium-ion battery. Energy Storage Science and Technology. 9(6). 1991. 2 indexed citations

19.

Liu, Zhizhong, Yong Wang, & Bing-Chuan Wang. (2019). Indicator-Based Constrained Multiobjective Evolutionary Algorithms. IEEE Transactions on Systems Man and Cybernetics Systems. 51(9). 5414–5426. 95 indexed citations

20.

Feng, Yun, Bing-Chuan Wang, & Li Ding. (2019). A Constrained Cooperative Coevolution Strategy for Weights Adaptation Optimization of Heterogeneous Epidemic Spreading Networks.. arXiv (Cornell University). 2 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.

Explore authors with similar magnitude of impact