Kup‐Sze Choi

294 total papers · 6.4k total citations
206 papers, 4.6k citations indexed

About

Kup‐Sze Choi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Kup‐Sze Choi has authored 206 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Artificial Intelligence, 57 papers in Computer Vision and Pattern Recognition and 39 papers in Cognitive Neuroscience. Recurrent topics in Kup‐Sze Choi's work include EEG and Brain-Computer Interfaces (33 papers), Face and Expression Recognition (26 papers) and Domain Adaptation and Few-Shot Learning (19 papers). Kup‐Sze Choi is often cited by papers focused on EEG and Brain-Computer Interfaces (33 papers), Face and Expression Recognition (26 papers) and Domain Adaptation and Few-Shot Learning (19 papers). Kup‐Sze Choi collaborates with scholars based in Hong Kong, China and Australia. Kup‐Sze Choi's co-authors include Zhaohong Deng, Shitong Wang, Fu-Lai Chung, Guanjin Wang, Yizhang Jiang, Jun Wang, Jing Qin, Pheng‐Ann Heng, Xiaoqing Luo and Zhancheng Zhang and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Medical Imaging.

In The Last Decade

Kup‐Sze Choi

200 papers receiving 4.4k citations

Author Peers

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

Author						Papers	Cites
Kup‐Sze Choi	1.8k	1.0k	1.0k	487	397	206	4.6k
Begonya García-Zapirain	1.9k 1.0×	786 0.8×	1.2k 1.1×	1.1k 2.2×	418 1.1×	247	6.6k
Lipo Wang	2.2k 1.2×	1.4k 1.4×	970 1.0×	507 1.0×	562 1.4×	187	6.8k
N. Arunkumar	984 0.5×	926 0.9×	1.2k 1.2×	500 1.0×	491 1.2×	110	4.9k
Mufti Mahmud	1.8k 1.0×	613 0.6×	983 1.0×	433 0.9×	338 0.9×	225	5.4k
Roohallah Alizadehsani	1.9k 1.0×	566 0.5×	1.0k 1.0×	410 0.8×	286 0.7×	167	5.4k
Giuseppe De Pietro	1.6k 0.9×	702 0.7×	482 0.5×	449 0.9×	305 0.8×	211	4.4k
Chai Quek	2.5k 1.4×	907 0.9×	1.1k 1.1×	424 0.9×	604 1.5×	247	6.3k
Yang Li	756 0.4×	701 0.7×	2.0k 2.0×	304 0.6×	548 1.4×	183	4.6k
Abdulkadir Şengür	2.6k 1.4×	1.6k 1.5×	1.0k 1.0×	730 1.5×	1.0k 2.5×	224	8.5k
Chih‐Wei Hsu	1.3k 0.7×	988 1.0×	453 0.4×	278 0.6×	362 0.9×	167	5.4k

Countries citing papers authored by Kup‐Sze Choi

Since Specialization

Citations

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

Fields of papers citing papers by Kup‐Sze Choi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kup‐Sze Choi. 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 Kup‐Sze Choi. The network helps show where Kup‐Sze Choi may publish in the future.

Co-authorship network of co-authors of Kup‐Sze Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Kup‐Sze Choi. A scholar is included among the top collaborators of Kup‐Sze Choi 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 Kup‐Sze Choi. Kup‐Sze Choi 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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