Weige Zhang

6.7k total citations · 1 hit paper
188 papers, 5.3k citations indexed

About

Weige Zhang is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Weige Zhang has authored 188 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 172 papers in Electrical and Electronic Engineering, 154 papers in Automotive Engineering and 41 papers in Control and Systems Engineering. Recurrent topics in Weige Zhang's work include Advanced Battery Technologies Research (146 papers), Advancements in Battery Materials (90 papers) and Electric Vehicles and Infrastructure (63 papers). Weige Zhang is often cited by papers focused on Advanced Battery Technologies Research (146 papers), Advancements in Battery Materials (90 papers) and Electric Vehicles and Infrastructure (63 papers). Weige Zhang collaborates with scholars based in China, United States and United Kingdom. Weige Zhang's co-authors include Jiuchun Jiang, Caiping Zhang, Yang Gao, Yan Jiang, Bingxiang Sun, Zeyu Ma, Linjing Zhang, Haijun Ruan, Le Yi Wang and Wenzhong Gao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Journal of The Electrochemical Society.

In The Last Decade

Weige Zhang

176 papers receiving 5.1k citations

Hit Papers

Review on state-of-health of lithium-ion batteries: Chara... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Weige Zhang China 40 4.6k 4.5k 1.0k 420 286 188 5.3k
Widanalage Dhammika Widanage United Kingdom 37 4.6k 1.0× 4.8k 1.1× 821 0.8× 568 1.4× 383 1.3× 102 5.6k
Simona Onori United States 39 5.2k 1.1× 6.0k 1.3× 1.3k 1.3× 345 0.8× 623 2.2× 209 7.1k
Quanqing Yu China 34 4.1k 0.9× 4.8k 1.1× 1.6k 1.6× 436 1.0× 143 0.5× 83 5.3k
Yunlong Shang China 34 3.6k 0.8× 4.2k 0.9× 1.4k 1.4× 556 1.3× 151 0.5× 142 4.7k
Jinhao Meng China 40 4.0k 0.9× 4.6k 1.0× 1.5k 1.5× 539 1.3× 211 0.7× 176 5.2k
Mohamad Hanif Md Saad Malaysia 25 2.4k 0.5× 2.4k 0.5× 645 0.6× 291 0.7× 239 0.8× 84 3.3k
Yi Xie China 36 2.8k 0.6× 3.1k 0.7× 515 0.5× 179 0.4× 430 1.5× 106 3.7k
Jiuchun Jiang China 48 7.7k 1.7× 7.4k 1.6× 1.8k 1.8× 620 1.5× 500 1.7× 210 9.0k
Manh‐Kien Tran Canada 30 2.6k 0.6× 2.8k 0.6× 397 0.4× 162 0.4× 282 1.0× 33 3.4k
Zhongwei Deng China 35 3.0k 0.7× 3.6k 0.8× 1.0k 1.0× 545 1.3× 168 0.6× 86 4.0k

Countries citing papers authored by Weige Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Weige Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weige Zhang. 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 Weige Zhang. The network helps show where Weige Zhang may publish in the future.

Co-authorship network of co-authors of Weige Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Weige Zhang. A scholar is included among the top collaborators of Weige Zhang 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 Weige Zhang. Weige Zhang 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.
Zhang, Caiping, Jinyu Wang, Linjing Zhang, et al.. (2025). Decoding battery aging in fast-charging electric vehicles: An advanced SOH estimation framework using real-world field data. Energy storage materials. 78. 104236–104236. 11 indexed citations
2.
Zhang, Weige, et al.. (2025). Optimal strategy of the charging station operator participating in day-ahead electricity market: A hierarchical game framework. Sustainable Energy Grids and Networks. 42. 101686–101686.
3.
Zhou, Xingzhen, et al.. (2024). Study of lithium-ion battery module external short circuit risk and protection design. Journal of Energy Storage. 86. 111070–111070. 11 indexed citations
4.
Zhang, Yanru, et al.. (2024). Consistency evaluation of Lithium-ion battery packs in electric vehicles based on incremental capacity curves transformation. Journal of Energy Storage. 104. 114597–114597. 4 indexed citations
5.
Zhang, Caiping, et al.. (2024). Detecting abnormality of battery decline for unbalanced samples via ensemble learning optimization. Journal of Energy Storage. 104. 114522–114522.
6.
Zhang, Weige, et al.. (2024). A novel high-efficient lithium-ion battery serial formation system scheme based on partial power conversion. Journal of Energy Storage. 97. 112350–112350. 2 indexed citations
7.
Fan, Xinyuan, et al.. (2024). Accurate battery temperature prediction using self-training neural networks within embedded system. Energy. 313. 134031–134031. 2 indexed citations
8.
Zhang, Weige, et al.. (2024). Capacity estimation for series-connected battery pack based on partial charging voltage curve segments. Journal of Energy Storage. 95. 112576–112576. 6 indexed citations
9.
Yang, Sijia, et al.. (2024). An aging-aware modified open-circuit potential electrode model for degradation modes diagnosis of lithium titanate oxide batteries. Journal of Power Sources. 614. 234921–234921. 3 indexed citations
10.
Sun, Bingxiang, et al.. (2024). Machine learning and feature engineering-based anode potential estimation method for lithium-ion batteries with application. Journal of Energy Storage. 103. 114387–114387. 4 indexed citations
11.
12.
Zhou, Xingzhen, et al.. (2023). Construction of simplified impedance model based on electrochemical mechanism and identification of mechanism parameters. Journal of Energy Storage. 76. 109673–109673. 10 indexed citations
13.
Zhang, Weige, et al.. (2023). The degradation characteristics and mechanism of Li[Ni0.5Co0.2Mn0.3]O2 batteries with high frequency current ripple excitation. Applied Energy. 343. 121242–121242. 4 indexed citations
14.
Zhou, Xingzhen, et al.. (2023). Parameter sensitivity analysis and parameter identifiability analysis of electrochemical model under wide discharge rate. Journal of Energy Storage. 68. 107788–107788. 15 indexed citations
15.
Su, Xiaojia, Bingxiang Sun, Jinyu Wang, et al.. (2023). Experimental study on charging energy efficiency of lithium-ion battery under different charging stress. Journal of Energy Storage. 68. 107793–107793. 16 indexed citations
16.
17.
Zhang, Weige, et al.. (2023). Integrated optimization of driving strategy and energy management for hybrid diesel multiple units. Energy. 281. 128297–128297. 2 indexed citations
18.
Zhang, Weige, et al.. (2023). A novel state-of-energy simplified estimation method for lithium-ion battery pack based on prediction and representative cells. Journal of Energy Storage. 63. 107083–107083. 27 indexed citations
19.
Sun, Bingxiang, et al.. (2023). Sensitivity analysis of electrochemical model parameters for lithium-ion batteries on terminal voltages and anode lithium plating criterion. Journal of Energy Storage. 71. 108127–108127. 13 indexed citations
20.
Yang, Sijia, et al.. (2023). A hierarchical enhanced data-driven battery pack capacity estimation framework for real-world operating conditions with fewer labeled data. Journal of Energy Chemistry. 91. 417–432. 18 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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