Kang Li

5.1k total citations
194 papers, 3.5k citations indexed

About

Kang Li is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Kang Li has authored 194 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Electrical and Electronic Engineering, 67 papers in Control and Systems Engineering and 44 papers in Automotive Engineering. Recurrent topics in Kang Li's work include Microgrid Control and Optimization (39 papers), Advanced Battery Technologies Research (34 papers) and Smart Grid Energy Management (31 papers). Kang Li is often cited by papers focused on Microgrid Control and Optimization (39 papers), Advanced Battery Technologies Research (34 papers) and Smart Grid Energy Management (31 papers). Kang Li collaborates with scholars based in China, United Kingdom and United States. Kang Li's co-authors include G.W. Irwin, Li Zhang, Zhile Yang, Yihuan Li, Xuan Liu, Qun Niu, Zhenghai Liao, Shen Zhang, T.G. Habetler and Guo‐Qiang Zhang and has published in prestigious journals such as IEEE Transactions on Automatic Control, Journal of Power Sources and IEEE Transactions on Industrial Electronics.

In The Last Decade

Kang Li

177 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kang Li China 31 2.2k 1.3k 1.0k 338 237 194 3.5k
Lucian Mihet‐Popa Norway 36 3.5k 1.6× 1.4k 1.1× 1.6k 1.5× 281 0.8× 274 1.2× 149 4.8k
Veit Hagenmeyer Germany 29 1.5k 0.7× 428 0.3× 1.2k 1.1× 351 1.0× 417 1.8× 310 3.2k
Xiaofang Yuan China 30 1.1k 0.5× 739 0.6× 1.0k 1.0× 895 2.6× 383 1.6× 155 3.3k
Zaiyue Yang China 32 3.7k 1.7× 897 0.7× 1.8k 1.8× 278 0.8× 109 0.5× 137 4.4k
Kang Li United Kingdom 40 3.5k 1.6× 2.5k 2.0× 1.5k 1.4× 1.1k 3.2× 563 2.4× 271 6.3k
Lin Cheng China 38 2.7k 1.2× 1.1k 0.9× 1.1k 1.0× 120 0.4× 928 3.9× 278 4.4k
Hongming Yang China 30 2.3k 1.1× 581 0.5× 991 1.0× 142 0.4× 88 0.4× 131 2.8k
Kari Tammi Finland 30 1.5k 0.7× 1.3k 1.1× 558 0.5× 108 0.3× 289 1.2× 136 2.8k
Ziad M. Ali Egypt 36 3.0k 1.4× 768 0.6× 1.6k 1.6× 493 1.5× 239 1.0× 172 4.0k
Payman Dehghanian United States 37 3.7k 1.7× 593 0.5× 1.8k 1.8× 281 0.8× 158 0.7× 213 4.8k

Countries citing papers authored by Kang Li

Since Specialization
Citations

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

Fields of papers citing papers by Kang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Kang Li. A scholar is included among the top collaborators of Kang Li 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 Kang Li. Kang Li 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.
Tan, Shuai, et al.. (2025). UDA-ROT: A cross-domain fault diagnosis method for large-scale systems. Control Engineering Practice. 157. 106268–106268. 1 indexed citations
2.
Guo, Yuanjun, Zhile Yang, Jun‐Zhe Yang, et al.. (2025). T2MFDF: An LLM-Enhanced Multimodal Fault Diagnosis Framework Integrating Time-Series and Textual Data. IEEE Transactions on Instrumentation and Measurement. 74. 1–11. 1 indexed citations
3.
Sun, Wenjie, Chengke Wu, Chengde Xie, et al.. (2025). Fine-tuning enables state of health estimation for lithium-ion batteries via a time series foundation model. Energy. 318. 134177–134177. 6 indexed citations
4.
5.
Li, Kang, et al.. (2024). Cross-dataset motor imagery decoding — A transfer learning assisted graph convolutional network approach. Biomedical Signal Processing and Control. 102. 107213–107213. 1 indexed citations
6.
Zhao, Shihao, et al.. (2024). Transportable energy storage assisted post-disaster restoration of distribution networks with renewable generations. Energy. 295. 131105–131105. 14 indexed citations
7.
Zhu, Wen, Wenbo Liu, Ken Chen, et al.. (2024). Effect of LLZTO Tablet Pressing Process on Electrochemical Properties of Button Batteries. ChemistrySelect. 9(14). 1 indexed citations
8.
Wang, Kai, et al.. (2024). Transformer based day-ahead cooling load forecasting of hub airport air-conditioning systems with thermal energy storage. Energy and Buildings. 308. 114008–114008. 19 indexed citations
9.
Zuo, Wei & Kang Li. (2024). Electrification of urban road traffic: a reliability analysis of traction power supply for electric road systems. Transportation Safety and Environment. 6(4). 3 indexed citations
10.
Wang, Mi, et al.. (2024). Integrating Machine Learning With Sensor Technology for Multiphase Flow Measurement: A Review. IEEE Sensors Journal. 24(19). 29603–29618. 3 indexed citations
12.
Li, Kang, et al.. (2023). Power Sharing Control of High Speed Railway Traction Networks Supplied by Dual End Substations. IFAC-PapersOnLine. 56(2). 1970–1976.
13.
Luo, Xingqi, et al.. (2023). Experimental investigation on characteristics of cavitation-induced vibration on the runner of a bulb turbine. Mechanical Systems and Signal Processing. 189. 110097–110097. 17 indexed citations
14.
Li, Kang, et al.. (2023). A multi-view CNN encoding for motor imagery EEG signals. Biomedical Signal Processing and Control. 85. 105063–105063. 12 indexed citations
15.
Chen, Sheng, et al.. (2023). Adaptive Multioutput Gradient RBF Tracker for Nonlinear and Nonstationary Regression. IEEE Transactions on Cybernetics. 53(12). 7906–7919. 10 indexed citations
16.
Li, Fuqiang, et al.. (2023). Dynamic event-triggered fuzzy non-fragile control of DC microgrids. ISA Transactions. 142. 83–97. 15 indexed citations
17.
Wu, Zhou, Gan Luo, Zhile Yang, et al.. (2022). A comprehensive review on deep learning approaches in wind forecasting applications. CAAI Transactions on Intelligence Technology. 7(2). 129–143. 100 indexed citations
18.
Zhang, Huifeng, Dong Yue, Chunxia Dou, Kang Li, & Gerhard P. Hancke. (2021). Two-Step Wind Power Prediction Approach With Improved Complementary Ensemble Empirical Mode Decomposition and Reinforcement Learning. IEEE Systems Journal. 16(2). 2545–2555. 31 indexed citations
19.
Zhang, Li, Kang Li, Dajun Du, et al.. (2020). A Sparse Learning Machine for Real-Time SOC Estimation of Li-ion Batteries. IEEE Access. 8. 156165–156176. 33 indexed citations
20.
Li, Kang, et al.. (2015). Impact of Electric Vehicles on a Carbon Constrained Power System—A Post 2020 Case Study. Journal of Power and Energy Engineering. 3(4). 114–122. 12 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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