Shaobing Gao

49 total papers · 1.2k total citations
34 papers, 766 citations indexed

About

Shaobing Gao is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Media Technology. According to data from OpenAlex, Shaobing Gao has authored 34 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 10 papers in Cognitive Neuroscience and 10 papers in Media Technology. Recurrent topics in Shaobing Gao's work include Image Enhancement Techniques (13 papers), Color Science and Applications (9 papers) and Visual perception and processing mechanisms (8 papers). Shaobing Gao is often cited by papers focused on Image Enhancement Techniques (13 papers), Color Science and Applications (9 papers) and Visual perception and processing mechanisms (8 papers). Shaobing Gao collaborates with scholars based in China, United Kingdom and United States. Shaobing Gao's co-authors include Yongjie Li, Kai-Fu Yang, Chaoyi Li, Ming Zhang, Xian-Shi Zhang, Chaoyi Li, Xinyu Du, Wenzheng Xu, Yuhong Liu and Ye Ai and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Shaobing Gao

28 papers receiving 739 citations

Author Peers

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

Author Last Decade Papers Cites
Shaobing Gao 597 260 232 104 54 34 766
Charles Poynton 409 0.7× 97 0.4× 158 0.7× 60 0.6× 33 0.6× 25 686
Sheng‐Jyh Wang 466 0.8× 195 0.8× 125 0.5× 69 0.7× 18 0.3× 55 679
T.D. Kite 742 1.2× 313 1.2× 212 0.9× 47 0.5× 18 0.3× 13 894
Rajeev Ramanath 566 0.9× 368 1.4× 195 0.8× 40 0.4× 41 0.8× 20 893
Yuri Murakami 282 0.5× 153 0.6× 256 1.1× 50 0.5× 45 0.8× 67 664
Leandro A. F. Fernandes 445 0.7× 82 0.3× 141 0.6× 128 1.2× 50 0.9× 39 747
Weihua Xiong 776 1.3× 164 0.6× 302 1.3× 75 0.7× 72 1.3× 45 905
Reiner Eschbach 538 0.9× 228 0.9× 429 1.8× 52 0.5× 49 0.9× 64 752
Alexander Wilkie 509 0.9× 93 0.4× 222 1.0× 40 0.4× 21 0.4× 63 893
Matthew Trentacoste 662 1.1× 223 0.9× 319 1.4× 86 0.8× 22 0.4× 13 803

Countries citing papers authored by Shaobing Gao

Since Specialization
Citations

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

Fields of papers citing papers by Shaobing Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaobing Gao

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