Wee Sun Lee

2.0k total citations
15 papers, 745 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 745 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 Transportation and Mobility Innovations (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 Transportation and Mobility Innovations (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, Yujiao Hu, Yuan Yao, 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 720 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Wee Sun Lee Singapore	10	492	218	83	80	68	15	745
Jen Jen Chung Switzerland	13	294 0.6×	237 1.1×	92 1.1×	201 2.5×	31 0.5×	54	734
Kagan Tumer United States	17	473 1.0×	140 0.6×	183 2.2×	100 1.3×	37 0.5×	45	877
Myeonghwi Kim South Korea	4	263 0.5×	72 0.3×	118 1.4×	47 0.6×	33 0.5×	7	637
Yali Du United Kingdom	12	275 0.6×	88 0.4×	61 0.7×	29 0.4×	59 0.9×	35	516
Chiara Piacentini United Kingdom	8	270 0.5×	132 0.6×	74 0.9×	51 0.6×	35 0.5×	20	481
A. Meystel United States	14	432 0.9×	289 1.3×	93 1.1×	139 1.7×	50 0.7×	99	913
Antonio Berlanga Spain	16	304 0.6×	151 0.7×	55 0.7×	110 1.4×	36 0.5×	70	684
Bilal Kartal United States	9	291 0.6×	77 0.4×	123 1.5×	51 0.6×	31 0.5×	15	542
Zhuangdi Zhu United States	8	269 0.5×	108 0.5×	112 1.3×	32 0.4×	22 0.3×	17	647
Devendra Singh Chaplot United States	14	556 1.1×	383 1.8×	55 0.7×	128 1.6×	11 0.2×	28	915

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

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Zhang, Zongzhang, et al.. (2021). PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces. Proceedings of the International Symposium on Combinatorial Search. 6(1). 238–239. 2 indexed citations

Hu, Yujiao, et al.. (2020). A bidirectional graph neural network for traveling salesman problems on arbitrary symmetric graphs. Engineering Applications of Artificial Intelligence. 97. 104061–104061. 31 indexed citations

Hu, Yujiao, Yuan Yao, & Wee Sun Lee. (2020). A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs. Knowledge-Based Systems. 204. 106244–106244. 83 indexed citations

Ma, Xiao, et al.. (2020). Particle Filter Recurrent Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 5101–5108. 44 indexed citations

Zhang, Zhen & Wee Sun Lee. (2019). Deep Graphical Feature Learning for the Feature Matching Problem. National University of Singapore. 5086–5095. 49 indexed citations

Hsu, David, et al.. (2018). Particle Filter Networks: End-to-End Probabilistic Localization From Visual Observations.. arXiv (Cornell University). 3 indexed citations

He, Ruidan, Wee Sun Lee, Hwee Tou Ng, & Daniel Dahlmeier. (2017). An Unsupervised Neural Attention Model for Aspect Extraction. 388–397. 236 indexed citations

Nguyen, Cuong Viet, Muthu Kumar Chandrasekaran, Min‐Yen Kan, & Wee Sun Lee. (2015). Scholarly Document Information Extraction using Extensible Features for Efficient Higher Order Semi-CRFs. 61–64. 10 indexed citations

Zhang, Zongzhang, et al.. (2015). PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces. Proceedings of the International Conference on Automated Planning and Scheduling. 25. 249–257. 8 indexed citations

10.

Nguyen, Cuong Viet, Nan Ye, Wee Sun Lee, & Hai Leong Chieu. (2014). Conditional random field with high-order dependencies for sequence labeling and segmentation. Journal of Machine Learning Research. 15(1). 981–1009. 34 indexed citations

11.

Ong, Sylvie C. W., et al.. (2010). Planning under Uncertainty for Robotic Tasks with Mixed Observability. The International Journal of Robotics Research. 29(8). 1053–1068. 145 indexed citations

12.

Kurniawati, Hanna, et al.. (2010). Motion planning under uncertainty for robotic tasks with long time horizons. The International Journal of Robotics Research. 30(3). 308–323. 82 indexed citations

13.

Chieu, Hai Leong & Wee Sun Lee. (2008). Relaxed survey propagation: a sum-product algorithm for Max-SAT. National Conference on Artificial Intelligence. 7(4). 247–252. 1 indexed citations

14.

Chieu, Hai Leong, Wee Sun Lee, & Leslie Pack Kaelbling. (2006). Activity Recognition from Physiological Data using Conditional Random Fields. DSpace@MIT (Massachusetts Institute of Technology). 15 indexed citations

15.

Hsu, Wynne, et al.. (2004). Abnormality Detection in Retinal Images. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations

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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