Suqun Cao

58 total papers · 573 total citations
35 papers, 363 citations indexed

About

Suqun Cao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Suqun Cao has authored 35 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 9 papers in Control and Systems Engineering. Recurrent topics in Suqun Cao's work include Face and Expression Recognition (6 papers), Advanced Algorithms and Applications (5 papers) and Text and Document Classification Technologies (4 papers). Suqun Cao is often cited by papers focused on Face and Expression Recognition (6 papers), Advanced Algorithms and Applications (5 papers) and Text and Document Classification Technologies (4 papers). Suqun Cao collaborates with scholars based in China, India and United States. Suqun Cao's co-authors include Ahmed N. Abdalla, Mingxin Jiang, Rendong Ji, Muhammad Shahzad Nazir, Yao Liu, Tao Hai, Liyan Liu, Xiaoming Xue, K. Sujatha and Chaoshun Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Materials Letters and Journal of Energy Storage.

In The Last Decade

Suqun Cao

31 papers receiving 341 citations

Hit Papers

Integration of energy sto... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Suqun Cao 178 109 54 53 46 35 363
Sungho Moon 216 1.2× 83 0.8× 56 1.0× 25 0.5× 16 0.3× 30 315
Muhibbuddin Muhibbuddin 207 1.2× 84 0.8× 57 1.1× 59 1.1× 21 0.5× 21 381
Md. Siddikur Rahman 221 1.2× 87 0.8× 90 1.7× 40 0.8× 38 0.8× 47 403
Ali Ahmadpour 277 1.6× 118 1.1× 75 1.4× 22 0.4× 44 1.0× 17 342
Sivasankar Gangatharan 159 0.9× 79 0.7× 145 2.7× 31 0.6× 26 0.6× 28 315
Timothy Little 181 1.0× 50 0.5× 45 0.8× 35 0.7× 61 1.3× 31 334
Fulin Fan 233 1.3× 128 1.2× 37 0.7× 48 0.9× 34 0.7× 44 375
Kushal A. Prasad 185 1.0× 88 0.8× 35 0.6× 15 0.3× 18 0.4× 15 332
Jonghwan Kwon 282 1.6× 76 0.7× 57 1.1× 38 0.7× 11 0.2× 23 395
Harun ÖZBAY 234 1.3× 91 0.8× 128 2.4× 24 0.5× 86 1.9× 37 366

Countries citing papers authored by Suqun Cao

Since Specialization
Citations

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

Fields of papers citing papers by Suqun Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suqun Cao

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