Long Zhou

2.9k total citations
72 papers, 2.4k citations indexed

About

Long Zhou is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Mechanical Engineering. According to data from OpenAlex, Long Zhou has authored 72 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 28 papers in Automotive Engineering and 14 papers in Mechanical Engineering. Recurrent topics in Long Zhou's work include Advanced Battery Technologies Research (28 papers), Advancements in Battery Materials (21 papers) and Electric Vehicles and Infrastructure (13 papers). Long Zhou is often cited by papers focused on Advanced Battery Technologies Research (28 papers), Advancements in Battery Materials (21 papers) and Electric Vehicles and Infrastructure (13 papers). Long Zhou collaborates with scholars based in China, United States and United Kingdom. Long Zhou's co-authors include Yuejiu Zheng, Xin Lai, Minggao Ouyang, Xuebing Han, Wenkai Gao, Languang Lu, Tao Sun, Shuyu Wang, Jianqiu Li and Ankur Jain and has published in prestigious journals such as Physical Review Letters, Physical Review B and Journal of Power Sources.

In The Last Decade

Long Zhou

69 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Long Zhou China 24 1.6k 1.5k 328 228 222 72 2.4k
Ke Li China 23 846 0.5× 1.5k 1.0× 248 0.8× 204 0.9× 194 0.9× 116 2.0k
Yang Chen China 26 1.0k 0.6× 2.6k 1.7× 538 1.6× 118 0.5× 360 1.6× 143 3.0k
John G. Kassakian United States 29 434 0.3× 2.3k 1.6× 772 2.4× 32 0.1× 473 2.1× 82 3.2k
Wu Chen China 39 762 0.5× 5.7k 3.9× 2.1k 6.3× 235 1.0× 364 1.6× 289 6.3k
Jin Wang United States 35 640 0.4× 4.5k 3.1× 1.4k 4.3× 339 1.5× 286 1.3× 263 4.8k
Hamid Gualous France 33 2.1k 1.3× 2.4k 1.6× 709 2.2× 30 0.1× 120 0.5× 136 3.2k
Robert C. N. Pilawa-Podgurski United States 46 910 0.6× 6.6k 4.5× 1.3k 3.8× 304 1.3× 749 3.4× 249 7.3k
Giri Venkataramanan United States 38 562 0.3× 5.5k 3.7× 2.9k 8.8× 54 0.2× 252 1.1× 218 6.1k
Wenxin Huang China 29 473 0.3× 3.3k 2.2× 957 2.9× 15 0.1× 222 1.0× 215 3.8k
Z. John Shen United States 48 832 0.5× 9.0k 6.1× 3.8k 11.7× 293 1.3× 540 2.4× 327 9.5k

Countries citing papers authored by Long Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Long Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Long Zhou. A scholar is included among the top collaborators of Long Zhou 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 Long Zhou. Long Zhou 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.
2.
Zhou, Long, Yuan Hong, Yong Yao, et al.. (2025). Optimizing coercivity in Nd-Fe-B magnets through grain boundary diffusion: A machine learning approach for Tb-based diffusion source design. Journal of Alloys and Compounds. 1033. 181180–181180. 2 indexed citations
3.
Zhou, Long, et al.. (2025). Design and synthesis of benzothiazole aryl urea derivatives as potent anti-staphylococcal agents targeting autolysin-mediated peptidoglycan hydrolases. European Journal of Medicinal Chemistry. 292. 117715–117715. 1 indexed citations
4.
Chen, Jianguo, et al.. (2025). Study on battery capacity recognition method for real electric vehicle under complex operating conditions. Journal of Energy Storage. 118. 116219–116219. 1 indexed citations
5.
Zhang, Huan, Long Zhou, & Mu Gu. (2024). Reduced Forgetfulness in Continual Learning for Named Entity Recognition Through Confident Soft-Label Imitation. Mathematics. 12(24). 3964–3964.
6.
Zhou, Long, et al.. (2023). State Estimation Models of Lithium-Ion Batteries for Battery Management System: Status, Challenges, and Future Trends. Batteries. 9(2). 131–131. 90 indexed citations
7.
Sun, Tao, et al.. (2023). Identification of Internal Short-Circuit Faults in Lithium-Ion Batteries Based on a Multi-Machine Learning Fusion. Batteries. 9(3). 154–154. 18 indexed citations
8.
9.
Jain, Ankur, Mohammad Parhizi, Long Zhou, & Girish Krishnan. (2021). Imaginary Eigenvalues in Multilayer One-Dimensional Thermal Conduction Problem with Linear Temperature-Dependent Heat Generation. International Journal of Heat and Mass Transfer. 170. 120993–120993. 21 indexed citations
10.
Zhou, Long, et al.. (2020). Effects of Ring Pack Friction Heat on Temperature Fields of Piston Set-Liner. International Journal of Automotive Technology. 21(6). 1569–1578. 5 indexed citations
11.
Lai, Xin, Shuyu Wang, Long He, Long Zhou, & Yuejiu Zheng. (2019). A hybrid state-of-charge estimation method based on credible increment for electric vehicle applications with large sensor and model errors. Journal of Energy Storage. 27. 101106–101106. 77 indexed citations
12.
Lai, Xin, Dongdong Qiao, Yuejiu Zheng, et al.. (2018). A rapid screening and regrouping approach based on neural networks for large-scale retired lithium-ion cells in second-use applications. Journal of Cleaner Production. 213. 776–791. 115 indexed citations
13.
Wang, Zhenjun, et al.. (2017). Research on the static experiment of super heavy crude oil demulsification and dehydration using ultrasonic wave and audible sound wave at high temperatures. Ultrasonics Sonochemistry. 40(Pt A). 1014–1020. 58 indexed citations
14.
Zhou, Long, et al.. (2016). Stochastic Petri Net-based performance evaluation of hybrid traffic for social networks system. Neurocomputing. 204. 3–7. 7 indexed citations
15.
Wang, Xiaosong, et al.. (2016). Estimation of the Tolman Length of Nano-Scale Droplets Based on the Reduced Kelvin Equation. Journal of Computational and Theoretical Nanoscience. 13(1). 110–113. 1 indexed citations
16.
Zhou, Long, et al.. (2013). Competition growth of α and β phases in Ti-50 at.%Al peritectic alloy during the rapid solidification by laser melting technique. Acta Metallurgica Sinica (English Letters). 26(5). 523–532. 3 indexed citations
17.
Downward, L., et al.. (2005). Universal Relationship between Magnetization and Changes in the Local Structure ofLa1−xCaxMnO3: Evidence for Magnetic Dimers. Physical Review Letters. 95(10). 106401–106401. 32 indexed citations
18.
Zhou, Long. (2002). Research Development and Main Challenge of Homogeneous Charge Compression Ignition(HCCI). Vehicle Engine. 1 indexed citations
19.
LaRochelle, Sophie, Apurva Mehta, Nobu‐Hisa Kaneko, et al.. (2001). Nature ofegElectron Order inLa1−xSr1+xMnO4. Physical Review Letters. 87(9). 95502–95502. 60 indexed citations
20.
Zhou, Long & Peter Fessenden. (1993). Automation of temperature control for large-array microwave surface applicators. International Journal of Hyperthermia. 9(3). 479–490. 8 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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