Kan Chen

63 total papers · 570 total citations
28 papers, 321 citations indexed

About

Kan Chen is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Kan Chen has authored 28 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Kan Chen's work include Internet Traffic Analysis and Secure E-voting (4 papers), Energy Efficient Wireless Sensor Networks (4 papers) and Advanced Neural Network Applications (3 papers). Kan Chen is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (4 papers), Energy Efficient Wireless Sensor Networks (4 papers) and Advanced Neural Network Applications (3 papers). Kan Chen collaborates with scholars based in China, United States and Australia. Kan Chen's co-authors include Yen‐Cheng Liu, Péter Vajda, Jiacheng Xu, Xiaoliang Dai, Zijian He, Yu-Jhe Li, BoRui Wu, Kris Kitani, Xipeng Qiu and Xuanjing Huang and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Access and Energy.

In The Last Decade

Kan Chen

23 papers receiving 310 citations

Hit Papers

Cross-Domain Adaptive Tea... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Kan Chen 163 148 28 26 25 28 321
Mert Pilancı 185 1.1× 59 0.4× 15 0.5× 13 0.5× 23 0.9× 46 364
Haoying Fu 69 0.4× 202 1.4× 30 1.1× 20 0.8× 65 2.6× 16 362
Hui Hu 81 0.5× 48 0.3× 14 0.5× 17 0.7× 21 0.8× 51 293
Bao Li 111 0.7× 98 0.7× 35 1.3× 17 0.7× 23 0.9× 38 304
Mohamed Morchid 198 1.2× 90 0.6× 21 0.8× 10 0.4× 30 1.2× 32 358
Xinyue Shen 109 0.7× 58 0.4× 9 0.3× 16 0.6× 40 1.6× 17 291
Diwei Zhou 62 0.4× 66 0.4× 19 0.7× 10 0.4× 17 0.7× 24 311
Amita Nandal 82 0.5× 187 1.3× 5 0.2× 11 0.4× 36 1.4× 36 366
Yinghua Li 89 0.5× 115 0.8× 5 0.2× 33 1.3× 46 1.8× 42 326
Fang Zhang 152 0.9× 149 1.0× 10 0.4× 8 0.3× 13 0.5× 33 315

Countries citing papers authored by Kan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kan Chen

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