Chun Guan

82 total papers · 795 total citations
51 papers, 563 citations indexed

About

Chun Guan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Chun Guan has authored 51 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Chun Guan's work include Optical measurement and interference techniques (7 papers), Advanced Memory and Neural Computing (6 papers) and Recommender Systems and Techniques (5 papers). Chun Guan is often cited by papers focused on Optical measurement and interference techniques (7 papers), Advanced Memory and Neural Computing (6 papers) and Recommender Systems and Techniques (5 papers). Chun Guan collaborates with scholars based in China, United States and United Kingdom. Chun Guan's co-authors include Laurence G. Hassebrook, Daniel L. Lau, Jielin Li, Kevin Kam Fung Yuen, Siyang Leng, Frans Coenen, Zhongxue Gan, Jin Hui Shi, Xinyuan Qiu and Qi Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Chun Guan

47 papers receiving 526 citations

Author Peers

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

Author Last Decade Papers Cites
Chun Guan 365 125 122 121 96 51 563
Zhenmin Zhu 350 1.0× 67 0.5× 67 0.5× 117 1.0× 17 0.2× 91 572
Yu‐Cheng Fan 296 0.8× 67 0.5× 25 0.2× 77 0.6× 33 0.3× 101 523
Yingying Wan 474 1.3× 180 1.4× 183 1.5× 210 1.7× 13 0.1× 45 535
Xiaohu Zhang 324 0.9× 58 0.5× 71 0.6× 145 1.2× 45 0.5× 56 651
H.J.W. Spoelder 210 0.6× 35 0.3× 46 0.4× 88 0.7× 76 0.8× 36 585
François Berry 237 0.6× 89 0.7× 19 0.2× 71 0.6× 23 0.2× 30 522
Klaus Hartmann 216 0.6× 50 0.4× 33 0.3× 58 0.5× 21 0.2× 50 507
Shinsaku Hiura 498 1.4× 224 1.8× 21 0.2× 77 0.6× 18 0.2× 66 667
Bruce G. Batchelor 175 0.5× 45 0.4× 50 0.4× 65 0.5× 90 0.9× 65 538
Bin Liu 400 1.1× 60 0.5× 29 0.2× 46 0.4× 162 1.7× 68 680

Countries citing papers authored by Chun Guan

Since Specialization
Citations

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

Fields of papers citing papers by Chun Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Chun Guan. A scholar is included among the top collaborators of Chun Guan 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 Chun Guan. Chun Guan 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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2026