Longxing Wu

1.5k total citations · 2 hit papers
32 papers, 1.1k citations indexed

About

Longxing Wu is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Longxing Wu has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Automotive Engineering, 28 papers in Electrical and Electronic Engineering and 6 papers in Control and Systems Engineering. Recurrent topics in Longxing Wu's work include Advanced Battery Technologies Research (32 papers), Advancements in Battery Materials (22 papers) and Advanced battery technologies research (7 papers). Longxing Wu is often cited by papers focused on Advanced Battery Technologies Research (32 papers), Advancements in Battery Materials (22 papers) and Advanced battery technologies research (7 papers). Longxing Wu collaborates with scholars based in China, United States and Greece. Longxing Wu's co-authors include Hui Pang, Kai Liu, Zebo Huang, Jiahao Liu, Zhiqiang Lyu, Hang Wang, Zebo Huang, Jiahui Wang, Bin Yang and Long Guo and has published in prestigious journals such as Journal of The Electrochemical Society, Journal of Power Sources and Electrochimica Acta.

In The Last Decade

Longxing Wu

27 papers receiving 1.1k citations

Hit Papers

Accurate capacity and remaining useful life prediction of... 2024 2026 2025 2024 2025 25 50 75
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.

  1. Accurate capacity and remaining useful life prediction of lithium-ion batteries based on improved particle swarm optimization and particle filter
    2024 88 citations Hui Pang, Longxing Wu et al. Energy profile →
  2. A lightweight two-stage physics-informed neural network for SOH estimation of lithium-ion batteries with different chemistries
    2025 26 citations Longxing Wu, Xianguo Tuo et al. Journal of Energy Chemistry profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Longxing Wu China 16 937 936 197 95 88 32 1.1k
Göran Lindbergh Sweden 16 795 0.8× 652 0.7× 102 0.5× 97 1.0× 103 1.2× 32 944
Gaël Chouchelamane United Kingdom 14 1.2k 1.2× 1.2k 1.2× 124 0.6× 44 0.5× 46 0.5× 15 1.3k
Parthasarathy Gomadam United States 10 1.3k 1.4× 1.2k 1.3× 152 0.8× 67 0.7× 113 1.3× 16 1.5k
Haijun Ruan China 22 1.3k 1.4× 1.3k 1.4× 147 0.7× 44 0.5× 32 0.4× 44 1.5k
Martin Petit France 11 1.2k 1.3× 1.2k 1.3× 89 0.5× 68 0.7× 35 0.4× 23 1.4k
Hao Mu China 16 1.4k 1.5× 1.4k 1.4× 361 1.8× 116 1.2× 47 0.5× 27 1.7k
Delphine Riu France 15 1.7k 1.8× 1.6k 1.7× 318 1.6× 86 0.9× 61 0.7× 41 1.9k
Chun Wang China 17 939 1.0× 1.1k 1.1× 145 0.7× 112 1.2× 23 0.3× 54 1.2k
Karsten Propp United Kingdom 14 1.0k 1.1× 1.0k 1.1× 155 0.8× 52 0.5× 28 0.3× 26 1.2k
Bharatkumar Suthar United States 14 1.1k 1.1× 930 1.0× 312 1.6× 71 0.7× 34 0.4× 31 1.2k

Countries citing papers authored by Longxing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Longxing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longxing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Longxing Wu. A scholar is included among the top collaborators of Longxing Wu 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 Longxing Wu. Longxing Wu 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.
Wu, Longxing, Xianguo Tuo, Chunhui Liu, et al.. (2025). A lightweight two-stage physics-informed neural network for SOH estimation of lithium-ion batteries with different chemistries. Journal of Energy Chemistry. 105. 261–279. 26 indexed citations breakdown →
2.
3.
Lyu, Zhiqiang, et al.. (2025). From tradition to innovation: Evolution and trade-offs of lithium-ion battery state of health estimation methods. Journal of Energy Storage. 144. 119730–119730.
4.
Lyu, Zhiqiang, Xinyuan Wei, Longxing Wu, & Chunhui Liu. (2025). Transfer Learning‐Based Data‐Fusion Model Framework for State of Health Estimation of Power Battery Packs. Battery energy. 4(6). 1 indexed citations
5.
6.
Wu, Longxing, Xinyuan Wei, Zebo Huang, et al.. (2025). Battery SOC estimation with physics-constrained BiLSTM under different external pressures and temperatures. Journal of Energy Storage. 117. 116205–116205. 12 indexed citations
7.
Huang, Zebo, Yilin Liu, Jian Wu, et al.. (2025). Design and optimization of a novel flow field structure to improve the comprehensive performance of vanadium redox flow batteries. Journal of Power Sources. 640. 236736–236736. 1 indexed citations
8.
Chen, Xiaolong, et al.. (2025). An efficient feature search approach for robust state of health estimation of Li-ion battery. Green Energy and Intelligent Transportation. 5(3). 100339–100339. 1 indexed citations
9.
Tuo, Xianguo, et al.. (2024). Accurate Capacity Prediction and Evaluation with Advanced SSA-CNN-BiLSTM Framework for Lithium-Ion Batteries. Batteries. 10(3). 71–71. 16 indexed citations
10.
Lyu, Zhiqiang, et al.. (2024). Online state of health estimation for Li-ion batteries in EVs through a data-fusion-model method. Journal of Energy Storage. 100. 113588–113588. 6 indexed citations
11.
12.
Lyu, Zhiqiang, et al.. (2024). Towards an intelligent battery management system for electric vehicle applications: Dataset considerations, algorithmic approaches, and future trends. Journal of Energy Storage. 101. 113827–113827. 10 indexed citations
13.
Liu, Yangsheng, Zebo Huang, Xing Xie, et al.. (2024). Redox flow batteries: Asymmetric design analysis and research methods. Journal of Energy Storage. 104. 114455–114455. 8 indexed citations
14.
Pang, Hui, et al.. (2024). Accurate capacity and remaining useful life prediction of lithium-ion batteries based on improved particle swarm optimization and particle filter. Energy. 293. 130555–130555. 88 indexed citations breakdown →
15.
Pang, Hui, et al.. (2023). Thermal-Coupled Single Particle Modeling and Multi-Objective Stepwise Parameter Identification of Lithium-Ion Batteries Over Different Temperatures. Journal of The Electrochemical Society. 170(6). 60542–60542. 13 indexed citations
16.
Tang, Yi, et al.. (2023). Li‐Ion Battery State of Health Estimation Using Hybrid Decision Tree Model Optimized by Bayesian Optimization. Energy Technology. 12(3). 13 indexed citations
17.
Wu, Longxing, et al.. (2023). Physics-based battery SOC estimation methods: Recent advances and future perspectives. Journal of Energy Chemistry. 89. 27–40. 104 indexed citations
18.
19.
Pang, Hui, et al.. (2021). A Comprehensive Physics-Based Equivalent-Circuit Model and State of Charge Estimation for Lithium-Ion Batteries. Journal of The Electrochemical Society. 168(9). 90552–90552. 23 indexed citations
20.
Wu, Longxing, et al.. (2021). Online SOC Estimation Based on Simplified Electrochemical Model for Lithium-Ion Batteries Considering Current Bias. Energies. 14(17). 5265–5265. 41 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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