Yee Leung

19 total papers · 494 total citations
13 papers, 326 citations indexed

About

Yee Leung is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Economics and Econometrics. According to data from OpenAlex, Yee Leung has authored 13 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Economics and Econometrics. Recurrent topics in Yee Leung's work include Metaheuristic Optimization Algorithms Research (4 papers), Neural Networks and Applications (3 papers) and Evolutionary Algorithms and Applications (2 papers). Yee Leung is often cited by papers focused on Metaheuristic Optimization Algorithms Research (4 papers), Neural Networks and Applications (3 papers) and Evolutionary Algorithms and Applications (2 papers). Yee Leung collaborates with scholars based in Hong Kong and China. Yee Leung's co-authors include Zongben Xu, Yong Gao, Li Guo, Yong‐Chang Jiao, Kwong‐Sak Leung, Xingbao Gao, Jianghong Ma, Wenxiu Zhang, Yuan Xu and Zongben Xu and has published in prestigious journals such as Environmental Science & Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Yee Leung

13 papers receiving 292 citations

Author Peers

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

Author Last Decade Papers Cites
Yee Leung 137 65 54 49 41 13 326
Doaa El-Shahat 180 1.3× 52 0.8× 58 1.1× 40 0.8× 78 1.9× 10 326
Haohao Song 156 1.1× 28 0.4× 38 0.7× 43 0.9× 68 1.7× 20 365
Murat Aslan 177 1.3× 53 0.8× 53 1.0× 32 0.7× 48 1.2× 27 319
Yifei Li 226 1.6× 35 0.5× 37 0.7× 33 0.7× 38 0.9× 23 344
Abraham George 85 0.6× 23 0.4× 76 1.4× 49 1.0× 21 0.5× 13 304
Rodrigo A. Coelho 164 1.2× 37 0.6× 42 0.8× 40 0.8× 30 0.7× 7 341
Izaskun Oregi 148 1.1× 31 0.5× 65 1.2× 32 0.7× 62 1.5× 21 329
Hong Choon Ong 169 1.2× 24 0.4× 30 0.6× 40 0.8× 66 1.6× 20 309
Farzin Modarres Khiyabani 97 0.7× 33 0.5× 43 0.8× 31 0.6× 45 1.1× 16 273
Marjan Abdechiri 154 1.1× 39 0.6× 52 1.0× 33 0.7× 49 1.2× 16 311

Countries citing papers authored by Yee Leung

Since Specialization
Citations

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

Fields of papers citing papers by Yee Leung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yee Leung

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