Tsang Ing Ren

171 total papers · 2.5k total citations
121 papers, 1.5k citations indexed

About

Tsang Ing Ren is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Tsang Ing Ren has authored 121 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Computer Vision and Pattern Recognition, 42 papers in Artificial Intelligence and 21 papers in Signal Processing. Recurrent topics in Tsang Ing Ren's work include Face and Expression Recognition (23 papers), Image Retrieval and Classification Techniques (16 papers) and Neural Networks and Applications (13 papers). Tsang Ing Ren is often cited by papers focused on Face and Expression Recognition (23 papers), Image Retrieval and Classification Techniques (16 papers) and Neural Networks and Applications (13 papers). Tsang Ing Ren collaborates with scholars based in Brazil, Belgium and United States. Tsang Ing Ren's co-authors include George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin, M. A. F. Gomes, Jan Sijbers, Vinícius M. Mello, Viviane M. de Oliveira, Bruno Fernandes, Fidel A. Guerrero Peña and Giovani L. Vasconcelos and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Tsang Ing Ren

114 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Tsang Ing Ren 587 516 163 140 135 121 1.5k
Jiangtao Cui 519 0.9× 473 0.9× 107 0.7× 81 0.6× 140 1.0× 116 1.5k
Kap Luk Chan 1.1k 1.9× 548 1.1× 111 0.7× 142 1.0× 200 1.5× 91 2.0k
Ronghua Liang 1.3k 2.2× 398 0.8× 168 1.0× 153 1.1× 332 2.5× 200 2.3k
Ming Liu 415 0.7× 712 1.4× 110 0.7× 107 0.8× 312 2.3× 162 2.3k
Tingting Liu 828 1.4× 494 1.0× 153 0.9× 211 1.5× 64 0.5× 70 2.0k
Yan Pei 435 0.7× 821 1.6× 439 2.7× 67 0.5× 121 0.9× 157 1.7k
Jiawei Zhang 213 0.4× 428 0.8× 136 0.8× 85 0.6× 54 0.4× 74 1.4k
Shuai Wang 723 1.2× 651 1.3× 436 2.7× 148 1.1× 30 0.2× 138 2.1k
Wesley De Neve 822 1.4× 560 1.1× 107 0.7× 131 0.9× 366 2.7× 148 2.0k
Adi Alhudhaif 501 0.9× 617 1.2× 237 1.5× 140 1.0× 138 1.0× 106 1.9k

Countries citing papers authored by Tsang Ing Ren

Since Specialization
Citations

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

Fields of papers citing papers by Tsang Ing Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsang Ing Ren. 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 Tsang Ing Ren. The network helps show where Tsang Ing Ren may publish in the future.

Co-authorship network of co-authors of Tsang Ing Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Tsang Ing Ren. A scholar is included among the top collaborators of Tsang Ing Ren 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 Tsang Ing Ren. Tsang Ing Ren 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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