Meng Wei

1.1k total citations
40 papers, 796 citations indexed

About

Meng Wei is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Meng Wei has authored 40 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Automotive Engineering, 31 papers in Electrical and Electronic Engineering and 12 papers in Control and Systems Engineering. Recurrent topics in Meng Wei's work include Advanced Battery Technologies Research (36 papers), Advancements in Battery Materials (25 papers) and Fault Detection and Control Systems (11 papers). Meng Wei is often cited by papers focused on Advanced Battery Technologies Research (36 papers), Advancements in Battery Materials (25 papers) and Fault Detection and Control Systems (11 papers). Meng Wei collaborates with scholars based in China, Singapore and Germany. Meng Wei's co-authors include Qiao Wang, Min Ye, Xinxin Xu, Gaoqi Lian, Min Ye, Shengjie Jiao, Jiabo Li, Hairong Gu, Yan Li and Chuanwei Zhang and has published in prestigious journals such as Journal of Power Sources, Electrochimica Acta and Expert Systems with Applications.

In The Last Decade

Meng Wei

35 papers receiving 776 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng Wei China 16 689 577 239 115 49 40 796
Chun Chang China 12 588 0.9× 458 0.8× 306 1.3× 89 0.8× 61 1.2× 34 727
Xiangbao Song Hong Kong 6 632 0.9× 565 1.0× 184 0.8× 71 0.6× 28 0.6× 8 727
Jungsoo Kim South Korea 13 514 0.7× 479 0.8× 144 0.6× 66 0.6× 23 0.5× 18 628
B. Pattipati United States 11 679 1.0× 569 1.0× 294 1.2× 102 0.9× 29 0.6× 21 825
Zewang Chen China 10 548 0.8× 423 0.7× 206 0.9× 122 1.1× 36 0.7× 16 612
D. N. T. How Malaysia 9 1.2k 1.7× 994 1.7× 361 1.5× 78 0.7× 40 0.8× 11 1.2k
Carlos Vidal Canada 11 749 1.1× 660 1.1× 179 0.7× 55 0.5× 25 0.5× 23 841
Guangcai Zhao China 8 607 0.9× 510 0.9× 196 0.8× 136 1.2× 50 1.0× 16 693
Mingwang Wang China 18 990 1.4× 899 1.6× 296 1.2× 46 0.4× 26 0.5× 21 1.1k
Mattin Lucu Spain 7 639 0.9× 590 1.0× 105 0.4× 120 1.0× 34 0.7× 8 740

Countries citing papers authored by Meng Wei

Since Specialization
Citations

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

Fields of papers citing papers by Meng Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Wei. A scholar is included among the top collaborators of Meng Wei 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 Meng Wei. Meng Wei 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.
Ye, Min, Gaoqi Lian, Wei Li, et al.. (2025). Data-optimization based SOC-SOH estimation for lithium-ion batteries with current bias compensation. Energy. 321. 135490–135490.
2.
Wei, Meng, Min Ye, Chuanwei Zhang, et al.. (2025). Physics-informed attention networks for state-of-charge estimation in electric heavy-duty vehicles on steep slopes. Journal of Power Sources. 656. 238114–238114.
3.
4.
Wei, Meng, Min Ye, Yu Ma, et al.. (2025). Mechanistic-probabilistic learning fusion approach for state of health estimation in LiFePO4 batteries under high-rate discharge cycling. Energy. 333. 137281–137281. 1 indexed citations
5.
Li, Yan, Zi He, Min Ye, et al.. (2025). A semi-supervised learning strategy for lithium-ion battery capacity estimation with limited impedance data. Energy. 319. 135129–135129.
6.
Wei, Meng, et al.. (2024). Robust state of charge estimation of LiFePO4 batteries based on Sage_Husa adaptive Kalman filter and dynamic neural network. Electrochimica Acta. 477. 143778–143778. 35 indexed citations
7.
Zhang, Chuanwei, Ting Wang, Meng Wei, Lin Qiao, & Gaoqi Lian. (2024). State of charge estimation for lithium-ion batteries based on gate recurrent unit and unscented Kalman filtering. Ionics. 30(11). 6951–6967. 3 indexed citations
8.
Li, Jiabo, Min Ye, Yan Wang, Qiao Wang, & Meng Wei. (2023). A hybrid framework for predicting the remaining useful life of battery using Gaussian process regression. Journal of Energy Storage. 66. 107513–107513. 28 indexed citations
9.
Lian, Gaoqi, Min Ye, Qiao Wang, Meng Wei, & Yuchuan Ma. (2023). Noise-immune state of charge estimation for lithium-ion batteries based on optimized dynamic model and improved adaptive unscented Kalman filter under wide temperature range. Journal of Energy Storage. 64. 107223–107223. 17 indexed citations
10.
Li, Yan, Min Ye, Qiao Wang, Meng Wei, & Gaoqi Lian. (2023). State of charge estimation of lithium-ion batteries using improved BP neural network and filtering techniques. Journal of Physics Conference Series. 2591(1). 12052–12052. 2 indexed citations
11.
Wang, Qiao, Min Ye, Meng Wei, Gaoqi Lian, & Yan Li. (2023). Random health indicator and shallow neural network based robust capacity estimation for lithium-ion batteries with different fast charging protocols. Energy. 271. 127029–127029. 8 indexed citations
12.
Wang, Qiao, Min Ye, Meng Wei, & Gaoqi Lian. (2022). Optimized deep neural network enabled low‐cost state of charge estimation for different kinds of lithium‐ion batteries under dynamic load conditions. International Journal of Energy Research. 46(15). 22946–22959. 4 indexed citations
13.
Lian, Gaoqi, Min Ye, Qiao Wang, Meng Wei, & Xinxin Xu. (2022). Considering the temperature influence state‐of‐charge estimation for lithium‐ion batteries based on a back propagation neural network and improved unscented Kalman filtering. International Journal of Energy Research. 46(13). 18192–18211. 13 indexed citations
14.
Wang, Qiao, Min Ye, & Meng Wei. (2022). Small Dataset-Based Closed-Loop State of Charge Estimation for Pure Electric Construction Machinery With Large Sensor Error: A Case Study of 5-ton Loader. IEEE Transactions on Transportation Electrification. 9(2). 3350–3359. 5 indexed citations
15.
Wang, Qiao, Meng Wei, Min Ye, Jiabo Li, & Xinxin Xu. (2021). Estimation of lithium-ion battery SOC based on GWO-optimized extreme learning machine. Energy Storage Science and Technology. 10(2). 744. 4 indexed citations
16.
Ye, Min, et al.. (2021). Joint estimation of state of charge and state of health for lithium‐ion battery based on dual adaptive extended Kalman filter. International Journal of Energy Research. 45(9). 13307–13322. 46 indexed citations
17.
Li, Jiabo, Min Ye, Meng Wei, Xinxin Xu, & Shengjie Jiao. (2020). A Novel State of Charge Approach of Lithium Ion Battery Using Least Squares Support Vector Machine. IEEE Access. 8. 195398–195410. 69 indexed citations
18.
Li, Jiabo, Min Ye, Shengjie Jiao, Meng Wei, & Xinxin Xu. (2020). A Novel State Estimation Approach Based on Adaptive Unscented Kalman Filter for Electric Vehicles. IEEE Access. 8. 185629–185637. 21 indexed citations
19.
Wei, Meng, et al.. (2019). SOC estimation of Li-ion battery based on gaussian mixture regression. Energy Storage Science and Technology. 9(3). 958. 1 indexed citations
20.
Wang, Ruohan, et al.. (2018). A dynamic power flow algorithm in DTS considering wind/photovoltaic/diesel generators. 12. 548–553. 1 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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