Wee Sun Lee

30 total papers · 2.0k total citations
15 papers, 740 citations indexed

About

Wee Sun Lee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Wee Sun Lee has authored 15 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Wee Sun Lee's work include Bayesian Modeling and Causal Inference (3 papers), Machine Learning and Algorithms (3 papers) and Robotic Path Planning Algorithms (2 papers). Wee Sun Lee is often cited by papers focused on Bayesian Modeling and Causal Inference (3 papers), Machine Learning and Algorithms (3 papers) and Robotic Path Planning Algorithms (2 papers). Wee Sun Lee collaborates with scholars based in Singapore, China and United States. Wee Sun Lee's co-authors include David Hsu, Ruidan He, Hwee Tou Ng, Daniel Dahlmeier, Sylvie C. W. Ong, Yuan Yao, Yujiao Hu, Zhen Zhang, Hanna Kurniawati and Hai Leong Chieu and has published in prestigious journals such as The International Journal of Robotics Research, Journal of Machine Learning Research and Knowledge-Based Systems.

In The Last Decade

Wee Sun Lee

15 papers receiving 715 citations

Author Peers

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

Author Last Decade Papers Cites
Wee Sun Lee 490 217 83 80 68 15 740
Derek Long 399 0.8× 126 0.6× 119 1.4× 38 0.5× 67 1.0× 18 643
Michele Colledanchise 459 0.9× 218 1.0× 78 0.9× 90 1.1× 58 0.9× 24 771
Bowen Zhao 312 0.6× 235 1.1× 149 1.8× 69 0.9× 23 0.3× 20 770
Yara Rizk 268 0.5× 128 0.6× 188 2.3× 67 0.8× 44 0.6× 22 641
Martijn van Otterlo 493 1.0× 137 0.6× 117 1.4× 44 0.6× 33 0.5× 34 891
Fernando Fausto 489 1.0× 133 0.6× 72 0.9× 50 0.6× 63 0.9× 17 818
Ahmad Nickabadi 499 1.0× 189 0.9× 70 0.8× 42 0.5× 53 0.8× 31 897
Tayfun Küçükyılmaz 419 0.9× 88 0.4× 96 1.2× 31 0.4× 124 1.8× 15 815
Gaspard Harerimana 332 0.7× 78 0.4× 127 1.5× 46 0.6× 34 0.5× 7 759
Xianshun Chen 544 1.1× 93 0.4× 86 1.0× 38 0.5× 187 2.8× 14 870

Countries citing papers authored by Wee Sun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Wee Sun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wee Sun Lee. 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 Wee Sun Lee. The network helps show where Wee Sun Lee may publish in the future.

Co-authorship network of co-authors of Wee Sun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Wee Sun Lee. A scholar is included among the top collaborators of Wee Sun Lee 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 Wee Sun Lee. Wee Sun Lee 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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