Taisong Jin

67 total papers · 572 total citations
29 papers, 385 citations indexed

About

Taisong Jin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Taisong Jin has authored 29 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 5 papers in Computational Mechanics. Recurrent topics in Taisong Jin's work include Advanced Image and Video Retrieval Techniques (10 papers), Face and Expression Recognition (7 papers) and Advanced Graph Neural Networks (6 papers). Taisong Jin is often cited by papers focused on Advanced Image and Video Retrieval Techniques (10 papers), Face and Expression Recognition (7 papers) and Advanced Graph Neural Networks (6 papers). Taisong Jin collaborates with scholars based in China, Hong Kong and Saudi Arabia. Taisong Jin's co-authors include Cuihua Li, Jun Yu, Kun Zeng, Jane You, Zhengtao Yu, Rongrong Ji, Feifei Zhou, Shengxiang Gao, Lingling Li and Yue Gao and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Taisong Jin

26 papers receiving 378 citations

Author Peers

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

Author Last Decade Papers Cites
Taisong Jin 232 117 65 56 40 29 385
Litao Yu 259 1.1× 172 1.5× 16 0.2× 38 0.7× 7 0.2× 27 394
Jidong Zhao 312 1.3× 243 2.1× 31 0.5× 49 0.9× 4 0.1× 17 442
Zhongli Ma 206 0.9× 92 0.8× 41 0.6× 91 1.6× 22 0.6× 24 366
Jia Wei 199 0.9× 220 1.9× 15 0.2× 31 0.6× 6 0.1× 39 442
Gui-Fu Lu 333 1.4× 121 1.0× 57 0.9× 84 1.5× 6 0.1× 35 404
Jinlong Shi 249 1.1× 65 0.6× 29 0.4× 42 0.8× 10 0.3× 48 381
Yun Liu 307 1.3× 108 0.9× 37 0.6× 107 1.9× 2 0.1× 25 411
Huihuang Zhao 206 0.9× 68 0.6× 36 0.6× 53 0.9× 11 0.3× 51 382
Qiang Lü 127 0.5× 63 0.5× 51 0.8× 19 0.3× 76 1.9× 34 348
Jiming Liu 236 1.0× 288 2.5× 12 0.2× 44 0.8× 4 0.1× 15 418

Countries citing papers authored by Taisong Jin

Since Specialization
Citations

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

Fields of papers citing papers by Taisong Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taisong Jin

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