Kang Yan

5.1k total citations · 2 hit papers
50 papers, 4.4k citations indexed

About

Kang Yan is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Materials Chemistry. According to data from OpenAlex, Kang Yan has authored 50 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Electrical and Electronic Engineering, 20 papers in Automotive Engineering and 12 papers in Materials Chemistry. Recurrent topics in Kang Yan's work include Advancements in Battery Materials (37 papers), Advanced Battery Materials and Technologies (35 papers) and Advanced Battery Technologies Research (20 papers). Kang Yan is often cited by papers focused on Advancements in Battery Materials (37 papers), Advanced Battery Materials and Technologies (35 papers) and Advanced Battery Technologies Research (20 papers). Kang Yan collaborates with scholars based in China, Australia and United States. Kang Yan's co-authors include Guoxiu Wang, Bing Sun, Jinqiang Zhang, Shuoqing Zhao, Chengyin Wang, Xin Guo, Yufei Zhao, Dong Zhou, Paul Munroe and Chung‐Li Dong and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Kang Yan

48 papers receiving 4.4k citations

Hit Papers

Tuning the Coordination Environment in Single-Atom Cataly... 2019 2026 2021 2023 2019 2020 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kang Yan China 28 3.8k 1.2k 1.1k 1.1k 708 50 4.4k
Quanbing Liu China 39 3.8k 1.0× 1.1k 0.9× 1.0k 0.9× 1.5k 1.3× 661 0.9× 156 4.8k
Yiren Zhong China 39 4.5k 1.2× 1.0k 0.8× 1.1k 1.0× 1.1k 1.0× 1.4k 2.0× 75 5.3k
Anjun Hu China 34 4.1k 1.1× 690 0.6× 1.2k 1.1× 849 0.8× 680 1.0× 119 4.5k
Fangxi Xie Australia 23 4.4k 1.2× 1.0k 0.8× 704 0.7× 1.0k 0.9× 1.6k 2.2× 44 5.0k
Xiongwei Zhong China 36 3.6k 1.0× 1.6k 1.3× 509 0.5× 1.4k 1.3× 1.1k 1.5× 61 4.6k
Deyu Qu China 40 3.5k 0.9× 746 0.6× 920 0.9× 1.1k 1.0× 1.2k 1.8× 139 4.3k
Tianshuai Wang China 33 3.8k 1.0× 943 0.8× 1.0k 1.0× 1.4k 1.3× 612 0.9× 89 4.8k
Jiyuan Liang China 36 3.1k 0.8× 789 0.6× 945 0.9× 1.1k 1.0× 1.2k 1.7× 70 4.1k
Dirk Henkensmeier South Korea 42 5.1k 1.4× 2.6k 2.1× 814 0.8× 847 0.8× 676 1.0× 152 5.7k

Countries citing papers authored by Kang Yan

Since Specialization
Citations

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

Fields of papers citing papers by Kang Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Kang Yan. A scholar is included among the top collaborators of Kang Yan 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 Yan. Kang Yan 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
2.
Tang, Rui, Jinyang Dong, Xuebing Han, et al.. (2025). Inhomogeneous degradation mechanisms in LiFePO4/Graphite pouch cells under temperature and over-discharge coupled accelerated aging. eTransportation. 27. 100523–100523.
3.
Yu, Peiwen, Yajuan Yu, Zeyu Chang, et al.. (2024). Improved PSO-TCN model for SOH estimation based on accelerated aging test for large capacity energy storage batteries. Journal of Energy Storage. 108. 115031–115031. 10 indexed citations
5.
Lei, Pengyang, Xilin Wang, Yuefeng Su, et al.. (2024). Ultrathin surface coating of conductive and zincophilic titanium oxynitride enables stable zinc anodes for aqueous zinc-ion batteries. Journal of Colloid and Interface Science. 679(Pt A). 846–854. 5 indexed citations
6.
Yan, Ran, Yuefeng Su, Kang Yan, et al.. (2023). Electrical–thermal–fluidic coupling Li-ion battery pack consistency study. Journal of Energy Storage. 70. 108031–108031. 6 indexed citations
8.
Bao, Liying, Lai Chen, Nan Qi, et al.. (2023). Accelerated aging of lithium-ion batteries: bridging battery aging analysis and operational lifetime prediction. Science Bulletin. 68(23). 3055–3079. 71 indexed citations
9.
Qi, Nan, et al.. (2023). Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion battery. Frontiers in Energy. 18(2). 223–240. 17 indexed citations
10.
Zhang, Jinqiang, Yufei Zhao, Bing Sun, et al.. (2022). A long-life lithium-oxygen battery via a molecular quenching/mediating mechanism. Science Advances. 8(3). eabm1899–eabm1899. 52 indexed citations
11.
Zhao, Yufei, Jinqiang Zhang, Yuhan Xie, et al.. (2021). Constructing Atomic Heterometallic Sites in Ultrathin Nickel-Incorporated Cobalt Phosphide Nanosheets via a Boron-Assisted Strategy for Highly Efficient Water Splitting. Nano Letters. 21(1). 823–832. 119 indexed citations
12.
Yan, Kang, Shuoqing Zhao, Jinqiang Zhang, et al.. (2020). Dendrite-Free Sodium Metal Batteries Enabled by the Release of Contact Strain on Flexible and Sodiophilic Matrix. Nano Letters. 20(8). 6112–6119. 63 indexed citations
13.
Wang, Tianyi, Yanbin Li, Jinqiang Zhang, et al.. (2020). Immunizing lithium metal anodes against dendrite growth using protein molecules to achieve high energy batteries. Nature Communications. 11(1). 5429–5429. 199 indexed citations
14.
Yu, Xingxing, Ziyou Yu, Xiaolong Zhang, et al.. (2020). Highly disordered cobalt oxide nanostructure induced by sulfur incorporation for efficient overall water splitting. Nano Energy. 71. 104652–104652. 131 indexed citations
15.
Zhang, Jinqiang, Yufei Zhao, Chen Chen, et al.. (2019). Tuning the Coordination Environment in Single-Atom Catalysts to Achieve Highly Efficient Oxygen Reduction Reactions. Journal of the American Chemical Society. 141(51). 20118–20126. 870 indexed citations breakdown →
16.
Sun, Bing, Pan Xiong, Urmimala Maitra, et al.. (2019). Design Strategies to Enable the Efficient Use of Sodium Metal Anodes in High‐Energy Batteries. Advanced Materials. 32(18). 290 indexed citations
17.
Zhao, Shuoqing, Liubing Dong, Bing Sun, et al.. (2019). K2Ti2O5@C Microspheres with Enhanced K+ Intercalation Pseudocapacitance Ensuring Fast Potassium Storage and Long‐Term Cycling Stability. Small. 16(4). e1906131–e1906131. 64 indexed citations
18.
Zhao, Shuoqing, Kang Yan, Paul Munroe, Bing Sun, & Guoxiu Wang. (2019). Construction of Hierarchical K1.39Mn3O6 Spheres via AlF3 Coating for High‐Performance Potassium‐Ion Batteries. Advanced Energy Materials. 9(10). 103 indexed citations
19.
Zhao, Shuoqing, Bing Sun, Kang Yan, et al.. (2018). Aegis of Lithium-Rich Cathode Materials via Heterostructured LiAlF4 Coating for High-Performance Lithium-Ion Batteries. ACS Applied Materials & Interfaces. 10(39). 33260–33268. 90 indexed citations
20.
Yan, Kang, et al.. (2006). Experimental Study on Drying Dates of Solar Wall Collector. He'nan nongye daxue xuebao. 1 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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