Chong‐Yaw Wee

67 total papers · 2.1k total citations
40 papers, 1.5k citations indexed

About

Chong‐Yaw Wee is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chong‐Yaw Wee has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chong‐Yaw Wee's work include Functional Brain Connectivity Studies (15 papers), Image Retrieval and Classification Techniques (6 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Chong‐Yaw Wee is often cited by papers focused on Functional Brain Connectivity Studies (15 papers), Image Retrieval and Classification Techniques (6 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Chong‐Yaw Wee collaborates with scholars based in United States, Singapore and Malaysia. Chong‐Yaw Wee's co-authors include Dinggang Shen, Raveendran Paramesran, Kim‐Han Thung, Pew‐Thian Yap, Han Zhang, Daoqiang Zhang, Yue Gao, Gang Li, Xiaobo Chen and Qian Wang and has published in prestigious journals such as Cerebral Cortex, IEEE Transactions on Medical Imaging and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Chong‐Yaw Wee

36 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Chong‐Yaw Wee 699 365 308 261 235 40 1.5k
Tracy H. Wang 1.1k 1.5× 608 1.7× 479 1.6× 280 1.1× 267 1.1× 19 2.1k
Mercedes Cabrerizo 594 0.8× 252 0.7× 158 0.5× 223 0.9× 353 1.5× 90 1.4k
Ming Yang 680 1.0× 389 1.1× 441 1.4× 409 1.6× 187 0.8× 67 2.1k
Biao Jie 824 1.2× 190 0.5× 380 1.2× 240 0.9× 274 1.2× 60 1.4k
Marjane Khodatars 679 1.0× 213 0.6× 274 0.9× 298 1.1× 123 0.5× 19 1.3k
Parisa Moridian 731 1.0× 204 0.6× 272 0.9× 299 1.1× 131 0.6× 19 1.4k
Enzo Ferrante 469 0.7× 557 1.5× 806 2.6× 594 2.3× 127 0.5× 65 2.3k
Ke Zou 395 0.6× 566 1.6× 312 1.0× 148 0.6× 80 0.3× 46 1.4k
Kim‐Han Thung 348 0.5× 549 1.5× 322 1.0× 593 2.3× 344 1.5× 57 1.9k
Jingxin Nie 956 1.4× 357 1.0× 796 2.6× 155 0.6× 106 0.5× 61 1.7k

Countries citing papers authored by Chong‐Yaw Wee

Since Specialization
Citations

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

Fields of papers citing papers by Chong‐Yaw Wee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chong‐Yaw Wee. 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 Chong‐Yaw Wee. The network helps show where Chong‐Yaw Wee may publish in the future.

Co-authorship network of co-authors of Chong‐Yaw Wee

This figure shows the co-authorship network connecting the top 25 collaborators of Chong‐Yaw Wee. A scholar is included among the top collaborators of Chong‐Yaw Wee 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 Chong‐Yaw Wee. Chong‐Yaw Wee 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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2026