Kun Tang

123 total papers · 7.5k total citations
79 papers, 6.9k citations indexed

About

Kun Tang is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Materials Chemistry. According to data from OpenAlex, Kun Tang has authored 79 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Electrical and Electronic Engineering, 24 papers in Electronic, Optical and Magnetic Materials and 24 papers in Materials Chemistry. Recurrent topics in Kun Tang's work include Advancements in Battery Materials (26 papers), Advanced Battery Materials and Technologies (21 papers) and Supercapacitor Materials and Fabrication (18 papers). Kun Tang is often cited by papers focused on Advancements in Battery Materials (26 papers), Advanced Battery Materials and Technologies (21 papers) and Supercapacitor Materials and Fabrication (18 papers). Kun Tang collaborates with scholars based in China, Germany and United States. Kun Tang's co-authors include Joachim Maier, Lijun Fu, Peter A. van Aken, Yan Yu, Xinliang Feng, Shubin Yang, Linjie Zhi, Kläus Müllen, Haibo Hu and Robin J. White and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Nano Letters.

In The Last Decade

Kun Tang

77 papers receiving 6.8k citations

Hit Papers

Efficient Synthesis of He... 2012 2026 2016 2021 2012 2012 2020 2013 2021 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kun Tang 5.5k 2.5k 2.2k 1.8k 724 79 6.9k
Yang Zheng 5.4k 1.0× 2.2k 0.9× 2.0k 0.9× 2.2k 1.2× 580 0.8× 113 7.0k
Junhua Song 5.8k 1.1× 1.6k 0.6× 2.7k 1.2× 2.2k 1.2× 907 1.3× 72 7.5k
Xiaobin Liao 5.9k 1.1× 1.8k 0.7× 2.5k 1.2× 1.8k 1.0× 1.2k 1.6× 124 7.4k
Yue Zhu 4.7k 0.9× 2.5k 1.0× 2.6k 1.2× 2.5k 1.3× 659 0.9× 76 7.4k
Hongwei Mi 5.2k 1.0× 2.0k 0.8× 2.2k 1.0× 1.9k 1.0× 764 1.1× 145 6.6k
Linghui Yu 3.4k 0.6× 1.8k 0.7× 1.4k 0.6× 1.6k 0.9× 508 0.7× 79 4.9k
Yingke Zhou 4.5k 0.8× 2.0k 0.8× 1.8k 0.8× 1.5k 0.8× 792 1.1× 123 5.6k
Ya‐Ping Deng 6.6k 1.2× 2.0k 0.8× 2.9k 1.4× 1.2k 0.7× 1.1k 1.6× 116 7.6k
Yuhai Dou 5.6k 1.0× 2.0k 0.8× 3.4k 1.6× 3.0k 1.6× 463 0.6× 132 8.0k
Wen Lei 5.4k 1.0× 2.3k 0.9× 2.7k 1.3× 2.2k 1.2× 536 0.7× 143 7.2k

Countries citing papers authored by Kun Tang

Since Specialization
Citations

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

Fields of papers citing papers by Kun Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Tang. A scholar is included among the top collaborators of Kun Tang 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 Kun Tang. Kun Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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