Jin Chong

988 total citations
28 papers, 817 citations indexed

About

Jin Chong is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Jin Chong has authored 28 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 16 papers in Automotive Engineering and 6 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Jin Chong's work include Advancements in Battery Materials (18 papers), Advanced Battery Technologies Research (16 papers) and Advanced Battery Materials and Technologies (8 papers). Jin Chong is often cited by papers focused on Advancements in Battery Materials (18 papers), Advanced Battery Technologies Research (16 papers) and Advanced Battery Materials and Technologies (8 papers). Jin Chong collaborates with scholars based in China, United States and Germany. Jin Chong's co-authors include Xiangyun Song, Vincent Battaglia, Shidi Xun, Gao Liu, Chen Lü, Jian Ma, Paul Ridgway, Yujie Cheng, Laifa Tao and Honghe Zheng and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of The Electrochemical Society and Journal of Power Sources.

In The Last Decade

Jin Chong

23 papers receiving 801 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jin Chong China	13	726	535	140	108	81	28	817
E. Woirgard France	11	391 0.5×	253 0.5×	95 0.7×	88 0.8×	31 0.4×	28	493
Liuda Mereacre Germany	14	1.1k 1.6×	1.1k 2.0×	69 0.5×	114 1.1×	98 1.2×	26	1.3k
Zesen Wei China	14	677 0.9×	544 1.0×	72 0.5×	137 1.3×	30 0.4×	23	768
Guobin Zhong China	13	884 1.2×	534 1.0×	256 1.8×	46 0.4×	27 0.3×	30	994
L.H.J. Raijmakers Germany	18	1.3k 1.8×	1.1k 2.0×	68 0.5×	62 0.6×	23 0.3×	27	1.4k
R. Lallemand France	14	445 0.6×	232 0.4×	140 1.0×	72 0.7×	8 0.1×	30	571
Mariyam Susana Dewi Darma Germany	15	860 1.2×	599 1.1×	129 0.9×	126 1.2×	31 0.4×	19	915
Sara Abada France	5	836 1.2×	794 1.5×	55 0.4×	50 0.5×	47 0.6×	9	927
Yunwang Ge China	8	210 0.3×	243 0.5×	40 0.3×	23 0.2×	43 0.5×	26	336

Countries citing papers authored by Jin Chong

Since Specialization

Citations

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

Fields of papers citing papers by Jin Chong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Chong

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Chong. A scholar is included among the top collaborators of Jin Chong 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 Jin Chong. Jin Chong 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

Cheng, Yujie, et al.. (2024). Remaining useful life prediction and cycle life test optimization for multiple-formula battery: A method based on multi-source transfer learning. Reliability Engineering & System Safety. 249. 110166–110166. 11 indexed citations

Chong, Jin, et al.. (2024). A Comprehensive SPICE Modeling Methodology for Hot-carrier Degradation. 1–3.

Wang, Chao, Yu Ding, Liang Ma, et al.. (2022). A novel Long-term degradation trends predicting method for Multi-Formulation Li-ion batteries based on deep reinforcement learning. Advanced Engineering Informatics. 53. 101665–101665. 11 indexed citations

Ma, Jian, Shu Xu, Yu Ding, et al.. (2020). Cycle life test optimization for different Li-ion power battery formulations using a hybrid remaining-useful-life prediction method. Applied Energy. 262. 114490–114490. 50 indexed citations

Xia, Quan, Zili Wang, Yi Ren, et al.. (2019). A modified reliability model for lithium-ion battery packs based on the stochastic capacity degradation and dynamic response impedance. Journal of Power Sources. 423. 40–51. 47 indexed citations

Tao, Laifa, et al.. (2017). Lithium-ion battery capacity fading dynamics modelling for formulation optimization: A stochastic approach to accelerate the design process. Applied Energy. 202. 138–152. 13 indexed citations

Tao, Laifa, et al.. (2017). A review of stochastic battery models and health management. Renewable and Sustainable Energy Reviews. 80. 716–732. 87 indexed citations

Lü, Chen, Zhang Li-pin, Jian Ma, et al.. (2017). Li-ion battery capacity cycling fading dynamics cognition: A stochastic approach. Energy. 137. 251–259. 8 indexed citations

Chong, Jin, Jingping Zhang, Haiming Xie, et al.. (2016). High performance LiNi_0.5Mn_1.5O₄ cathode material with a bi-functional coating for lithium ion batteries. RSC Advances. 6(23). 19245–19251. 24 indexed citations

10.

Chong, Jin, Shidi Xun, Jingping Zhang, et al.. (2014). Li₃PO₄‐Coated LiNi_0.5Mn_1.5O₄: A Stable High‐Voltage Cathode Material for Lithium‐Ion Batteries. Chemistry - A European Journal. 20(24). 7479–7485. 90 indexed citations

11.

Zhang, Yiran, et al.. (2014). Orthogonal experiments for controlling the formation of DBPs during preozonation of bromide-containing raw water. Transactions of Tianjin University. 20(3). 189–196. 1 indexed citations

12.

Chong, Jin, Shidi Xun, Xiangyun Song, Gao Liu, & Vincent Battaglia. (2012). Surface stabilized LiNi0.5Mn1.5O4 cathode materials with high-rate capability and long cycle life for lithium ion batteries. Nano Energy. 2(2). 283–293. 109 indexed citations

13.

Xun, Shidi, Jin Chong, Xiangyun Song, Gao Liu, & Vincent Battaglia. (2012). Li4P2O7 modified high performance Li3V2(PO4)3 cathode material. Journal of Materials Chemistry. 22(31). 15775–15775. 27 indexed citations

14.

Ridgway, Paul, Honghe Zheng, Xiangyun Song, et al.. (2012). Comparison of Cycling Performance of Lithium Ion Cell Anode Graphites. Journal of The Electrochemical Society. 159(5). A520–A524. 28 indexed citations

15.

Chong, Jin, Shidi Xun, Xiangyun Song, et al.. (2011). Towards the understanding of coatings on rate performance of LiFePO4. Journal of Power Sources. 200. 67–76. 35 indexed citations

16.

Chong, Jin, Shidi Xun, Honghe Zheng, et al.. (2011). A comparative study of polyacrylic acid and poly(vinylidene difluoride) binders for spherical natural graphite/LiFePO4 electrodes and cells. Journal of Power Sources. 196(18). 7707–7714. 155 indexed citations

17.

Chong, Jin, Shidi Xun, & Vincent Battaglia. (2011). Insight into Iron Heat-Powder Combustion Products for Thermal Batteries: Core-Shell Structure and Semi-Conductive Properties. Electrochemical and Solid-State Letters. 14(9). A123–A123. 1 indexed citations

18.

Chong, Jin, Dimitris Pavlidis, & L. Considine. (2010). A novel GaN-based high frequency varactor diode. 118–121. 6 indexed citations

19.

Chong, Jin, Shidi Xun, Honghe Zheng, et al.. (2010). Investigation of PAA (H, Li, Na or K) Binder in Lithium-Ion Battery. ECS Meeting Abstracts. MA2010-03(1). 740–740. 1 indexed citations

20.

Liu, Zhijian, et al.. (2006). Electrochemical behavior and morphology of LiB compound anode materials. Transactions of Nonferrous Metals Society of China. 16(1). 127–131. 13 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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