Can Gao

108 total papers · 1.1k total citations
65 papers, 722 citations indexed

About

Can Gao is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Can Gao has authored 65 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 28 papers in Computational Theory and Mathematics and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Can Gao's work include Rough Sets and Fuzzy Logic (28 papers), Face and Expression Recognition (13 papers) and Text and Document Classification Technologies (11 papers). Can Gao is often cited by papers focused on Rough Sets and Fuzzy Logic (28 papers), Face and Expression Recognition (13 papers) and Text and Document Classification Technologies (11 papers). Can Gao collaborates with scholars based in China, Hong Kong and Poland. Can Gao's co-authors include Jie Zhou, Duoqian Miao, Xiaodong Yue, Zhihui Lai, Witold Pedrycz, Jun Wan, Zhihui Lai, Jiajun Wen, Zhifei Zhang and Jie Zhou and has published in prestigious journals such as IEEE Access, Pattern Recognition and Information Sciences.

In The Last Decade

Can Gao

58 papers receiving 712 citations

Author Peers

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

Author Last Decade Papers Cites
Can Gao 382 332 253 174 117 65 722
Tingquan Deng 258 0.7× 332 1.0× 273 1.1× 105 0.6× 198 1.7× 55 725
Libo Zhang 343 0.9× 484 1.5× 104 0.4× 179 1.0× 299 2.6× 48 799
Jihong Wan 472 1.2× 350 1.1× 248 1.0× 204 1.2× 52 0.4× 37 742
Hongyun Zhang 312 0.8× 199 0.6× 190 0.8× 138 0.8× 41 0.4× 60 650
Chun-Ru Dong 391 1.0× 136 0.4× 164 0.6× 99 0.6× 99 0.8× 30 635
Nguyễn Long Giang 235 0.6× 116 0.3× 104 0.4× 171 1.0× 126 1.1× 69 741
Jinmao Wei 403 1.1× 198 0.6× 205 0.8× 144 0.8× 41 0.4× 62 693
Duoqian Miao 224 0.6× 338 1.0× 121 0.5× 102 0.6× 300 2.6× 31 678
Tapio Elomaa 392 1.0× 119 0.4× 112 0.4× 155 0.9× 40 0.3× 40 629
Bernhard Moser 352 0.9× 172 0.5× 118 0.5× 58 0.3× 88 0.8× 56 666

Countries citing papers authored by Can Gao

Since Specialization
Citations

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

Fields of papers citing papers by Can Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Gao

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