Jian Hu

967 total citations
35 papers, 748 citations indexed

About

Jian Hu is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Jian Hu has authored 35 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Automotive Engineering, 24 papers in Electrical and Electronic Engineering and 6 papers in Control and Systems Engineering. Recurrent topics in Jian Hu's work include Advanced Battery Technologies Research (26 papers), Advancements in Battery Materials (21 papers) and Advanced Battery Materials and Technologies (14 papers). Jian Hu is often cited by papers focused on Advanced Battery Technologies Research (26 papers), Advancements in Battery Materials (21 papers) and Advanced Battery Materials and Technologies (14 papers). Jian Hu collaborates with scholars based in China, Sweden and Germany. Jian Hu's co-authors include Zhongbao Wei, Hongwen He, Yang Li, Xishi Wang, Tong Liu, Xiaolong Zhu, Yifei Yu, James Marco, Qi Tang and Binyu Xiong and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Power Sources and IEEE Transactions on Industrial Electronics.

In The Last Decade

Jian Hu

34 papers receiving 726 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jian Hu China 14 627 587 150 76 33 35 748
Jae-Moon Lee South Korea 10 951 1.5× 934 1.6× 289 1.9× 51 0.7× 16 0.5× 33 1.1k
Jichang Peng China 22 798 1.3× 1.0k 1.7× 577 3.8× 101 1.3× 58 1.8× 57 1.3k
Chun Chang China 12 588 0.9× 458 0.8× 306 2.0× 89 1.2× 27 0.8× 34 727
Hector E. Perez United States 18 2.1k 3.3× 1.9k 3.3× 385 2.6× 89 1.2× 71 2.2× 27 2.3k
Xin Tang China 12 515 0.8× 582 1.0× 191 1.3× 76 1.0× 31 0.9× 28 748
R.S. Thallam United States 14 229 0.4× 881 1.5× 277 1.8× 120 1.6× 35 1.1× 28 942
Mirosław Lewandowski Poland 8 215 0.3× 225 0.4× 77 0.5× 25 0.3× 55 1.7× 32 370
Boyang Liu China 10 719 1.1× 651 1.1× 165 1.1× 105 1.4× 18 0.5× 16 803
Maral Partovibakhsh Canada 6 448 0.7× 385 0.7× 207 1.4× 25 0.3× 16 0.5× 7 542
J.S. Lawler United States 14 459 0.7× 1.2k 2.1× 299 2.0× 44 0.6× 50 1.5× 30 1.3k

Countries citing papers authored by Jian Hu

Since Specialization
Citations

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

Fields of papers citing papers by Jian Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Hu. A scholar is included among the top collaborators of Jian Hu 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 Jian Hu. Jian Hu 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.
Hu, Jian, et al.. (2025). Anomaly Detection in Network Access-Using LSTM and Encoder-Enhanced Generative Adversarial Networks. Informatica. 49(7). 2 indexed citations
2.
Hu, Jian, et al.. (2024). Prediction of JTE breakdown performance in SiC PiN diode radiation detectors using TCAD augmented machine learning. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1061. 169102–169102. 1 indexed citations
3.
Wei, Zhongbao, et al.. (2024). Equivalent sampling-enabled module-level battery impedance measurement for in-situ lithium plating diagnostic. Journal of Power Sources. 600. 234239–234239. 11 indexed citations
4.
Huang, Jianhua, et al.. (2023). Experimental study on the cooling effect of fine water mist on the thermal runaway in a single lithium ion battery. Applied Thermal Engineering. 240. 122194–122194. 10 indexed citations
5.
Hu, Jian, et al.. (2023). State of charge estimation method based on linearization of voltage hysteresis curve. Journal of Energy Storage. 72. 108481–108481. 4 indexed citations
6.
Hu, Jian, et al.. (2023). Suppression of thermal runaway induced by thermal abuse in large-capacity lithium-ion batteries with water mist. Energy. 286. 129669–129669. 15 indexed citations
7.
Hu, Jian, et al.. (2023). Experimental investigation on the cooling effect of fully submerged fine water mist on lithium-ion batteries in confined space. Applied Thermal Engineering. 239. 122166–122166. 9 indexed citations
8.
Lin, Chi, et al.. (2022). “Deep-Dive analysis of the latest Lithium-Ion battery safety testing standards and regulations in Germany and China”. Renewable and Sustainable Energy Reviews. 173. 113077–113077. 27 indexed citations
9.
Liu, Tong, Jian Hu, Qi Tang, et al.. (2022). Investigation on fine water mist battery thermal management system for thermal runaway control. Applied Thermal Engineering. 211. 118474–118474. 15 indexed citations
10.
Liu, Tong, Jian Hu, Qi Tang, Xiaolong Zhu, & Xishi Wang. (2021). Mitigating overcharge induced thermal runaway of large format lithium ion battery with water mist. Applied Thermal Engineering. 197. 117402–117402. 29 indexed citations
11.
Hu, Jian, Xiaolei Bian, Zhongbao Wei, Jianwei Li, & Hongwen He. (2021). Residual Statistics-Based Current Sensor Fault Diagnosis for Smart Battery Management. IEEE Journal of Emerging and Selected Topics in Power Electronics. 10(2). 2435–2444. 46 indexed citations
12.
Liu, Shiqiang, Tianyi Ma, Fang Wang, et al.. (2021). Influence of Deep-Discharge Rate on Recycle Process of High Energy Density Traction Batteries. Journal of Electrochemical Energy Conversion and Storage. 19(2). 1 indexed citations
13.
Hu, Jian, et al.. (2021). Transient feature extraction method based on adaptive TQWT sparse optimization. EURASIP Journal on Wireless Communications and Networking. 2021(1). 5 indexed citations
14.
Hu, Jian, Zhongbao Wei, & Hongwen He. (2021). Moving Horizon Estimation based Unknown Input Observer for Lithium-Ion Batteries. 959–962. 1 indexed citations
15.
Hu, Jian, Zhongbao Wei, & Hongwen He. (2021). Multi-States Fusion based Internal Short Circuit Fault Diagnostic for Lithium-Ion Battery. 1712–1717. 8 indexed citations
16.
Hu, Jian, Zhongbao Wei, & Hongwen He. (2020). Improved internal short circuit detection method for Lithium-Ion battery with self-diagnosis characteristic. IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society. 3741–3746. 3 indexed citations
17.
Hu, Jian, et al.. (2020). Effect of parallel connection on 18650-type lithium ion battery thermal runaway propagation and active cooling prevention with water mist. Applied Thermal Engineering. 184. 116291–116291. 47 indexed citations
18.
Wei, Zhongbao, Hongwen He, & Jian Hu. (2020). Unbiased Model Identification and State of Energy Estimation of Lithium-Ion Battery. 5595–5599.
19.
Hu, Jian, et al.. (2015). Hybrid Method for License Plate Detection from Natural Scene Images. Advances in computer science research. 3 indexed citations
20.
Wang, Hua & Jian Hu. (2010). Multi-label image annotation via Maximum Consistency. 2337–2340. 7 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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