Fengwei Liang

756 total citations · 1 hit paper
35 papers, 458 citations indexed

About

Fengwei Liang is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Fengwei Liang has authored 35 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Automotive Engineering, 21 papers in Electrical and Electronic Engineering and 12 papers in Control and Systems Engineering. Recurrent topics in Fengwei Liang's work include Advanced Battery Technologies Research (27 papers), Advancements in Battery Materials (10 papers) and Electric Vehicles and Infrastructure (9 papers). Fengwei Liang is often cited by papers focused on Advanced Battery Technologies Research (27 papers), Advancements in Battery Materials (10 papers) and Electric Vehicles and Infrastructure (9 papers). Fengwei Liang collaborates with scholars based in China, United Kingdom and Hong Kong. Fengwei Liang's co-authors include Jichao Hong, Haixu Yang, Chi Zhang, Xinyang Zhang, Huaqin Zhang, Qianqian Yang, Kerui Li, Jingsong Yang, Kerui Li and Xiaoming Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Journal of Cleaner Production.

In The Last Decade

Fengwei Liang

29 papers receiving 438 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A novel battery SOC estimation method based on random search optimized LSTM neural network

2024 55 citations Fengwei Liang et al. Energy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fengwei Liang China	13	316	302	136	42	34	35	458
Haixu Yang China	10	212 0.7×	196 0.6×	111 0.8×	32 0.8×	22 0.6×	19	340
Taiqiang Cao China	6	171 0.5×	270 0.9×	115 0.8×	80 1.9×	30 0.9×	22	374
Jalal Sabor Morocco	10	337 1.1×	288 1.0×	101 0.7×	18 0.4×	42 1.2×	29	474
Renyou Xie China	11	238 0.8×	462 1.5×	138 1.0×	111 2.6×	17 0.5×	29	555
Jianwen Meng China	11	291 0.9×	271 0.9×	103 0.8×	22 0.5×	71 2.1×	37	383
Jianfei Chen China	13	175 0.6×	559 1.9×	223 1.6×	29 0.7×	10 0.3×	73	640
Tedjani Mesbahi France	12	450 1.4×	470 1.6×	141 1.0×	28 0.7×	13 0.4×	35	623
Alkan Alkaya Türkiye	9	234 0.7×	240 0.8×	143 1.1×	12 0.3×	18 0.5×	22	417

Countries citing papers authored by Fengwei Liang

Since Specialization

Citations

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

Fields of papers citing papers by Fengwei Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengwei Liang

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

All Works

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20 of 20 papers shown

Li, Meng, Jichao Hong, Fei Ma, et al.. (2025). Research on safety management strategy for the whole-life-cycle of power batteries in electric vehicles. Journal of Cleaner Production. 490. 144804–144804. 8 indexed citations

Tang, Dandan, et al.. (2025). Exploration and analysis of risk factors for coronary artery disease with type 2 diabetes based on SHAP explainable machine learning algorithm. Scientific Reports. 15(1). 29521–29521.

Liang, Fengwei, et al.. (2025). Advanced voltage abnormality detection in real-vehicle battery systems using self-organizing map neural networks and adaptive threshold. Energy. 322. 135558–135558. 1 indexed citations

Hong, Jichao, et al.. (2025). An adaptive threshold strategy based on empirical distribution functions and information entropy for battery abnormal diagnosis and fault alarm. Energy. 324. 135980–135980. 3 indexed citations

Liang, Fengwei, et al.. (2025). Research on the prediction method of electro-thermal coupling thermal process of soft pack lithium-ion battery based on principal component analysis and extreme learning machine. International Journal of Thermal Sciences. 218. 110164–110164.

Hong, Jichao, Fengwei Liang, Kerui Li, et al.. (2025). Thermal runaway boundary recognition and early detection of lithium battery based on machine vision algorithm. Energy. 340. 139285–139285.

Hong, Jichao, Fei Ma, Fengwei Liang, et al.. (2025). Research on voltage inconsistency diagnosis of power battery based on PSO-VMD-improved local outlier factor. Energy. 333. 137442–137442. 1 indexed citations

Hong, Jichao, Kerui Li, Fengwei Liang, et al.. (2025). Vehicle identification and battery voltage prediction using the long short-term memory neural networks for unknown real-world charging pile data oriented to vehicle-pile interaction. Journal of Energy Storage. 126. 116835–116835.

Xiang, Dong, et al.. (2025). Multi-objective opportunity maintenance optimization for wind farms considering multiple factors. Renewable Energy. 256. 123868–123868.

10.

Hong, Jichao, et al.. (2024). Review on proton exchange membrane fuel cells: Safety analysis and fault diagnosis. Journal of Power Sources. 617. 235118–235118. 24 indexed citations

11.

Hong, Jichao, Fengwei Liang, Yingjie Chen, et al.. (2024). A novel battery abnormality diagnosis method using multi-scale normalized coefficient of variation in real-world vehicles. Energy. 299. 131475–131475. 21 indexed citations

12.

Hong, Jichao, et al.. (2024). An exhaustive review of battery faults and diagnostic techniques for real-world electric vehicle safety. Journal of Energy Storage. 99. 113234–113234. 15 indexed citations

13.

Chen, Yingjie, Huaqin Zhang, Jichao Hong, et al.. (2024). Lithium plating detection of lithium-ion batteries based on the improved variance entropy algorithm. Energy. 299. 131574–131574. 8 indexed citations

14.

Hong, Jichao, Chi Zhang, Fengwei Liang, et al.. (2024). Health state monitoring and predicting of proton exchange membrane fuel cells: A review. Journal of Power Sources. 612. 234828–234828. 25 indexed citations

15.

Liang, Fengwei, et al.. (2024). A novel battery SOC estimation method based on random search optimized LSTM neural network. Energy. 306. 132583–132583. 55 indexed citations breakdown →

16.

Li, Renzheng, et al.. (2023). Investigation on Battery Thermal Management Based on Enhanced Heat Transfer Disturbance Structure within Mini-Channel Liquid Cooling Plate. Electronics. 12(4). 832–832. 7 indexed citations

17.

Yang, Xianbin, Bin Ma, Haicheng Xie, et al.. (2023). Lithium-Ion Battery State of Health Estimation with Multi-Feature Collaborative Analysis and Deep Learning Method. Batteries. 9(2). 120–120. 22 indexed citations

18.

Yang, Haixu, Jichao Hong, Fengwei Liang, & Xiaoming Xu. (2023). Machine learning-based state of health prediction for battery systems in real-world electric vehicles. Journal of Energy Storage. 66. 107426–107426. 25 indexed citations

19.

Liu, Haiying, et al.. (2023). Virtual Power Plant Operation Basedon Entropy-Weight-Improved Cloud RiskAssessment Model. Polish Journal of Environmental Studies. 32(4). 3125–3144. 3 indexed citations

20.

Zhang, Lisheng, Wentao Wang, Hanqing Yu, et al.. (2022). Remaining useful life and state of health prediction for lithium batteries based on differential thermal voltammetry and a deep learning model. iScience. 25(12). 105638–105638. 17 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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