Wee Sun Lee
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Text and Document Classification Technologies
- Natural Language Processing Techniques
- Reinforcement Learning in Robotics
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
-
- Robotic Path Planning Algorithms
Papers in
-
- Topic Modeling 18
- Machine Learning and Algorithms 15
- Text and Document Classification Technologies 13
- Natural Language Processing Techniques 10
- Advanced Text Analysis Techniques 8
- Algorithms and Data Compression 7
- Journals
- The International Journal of Robotics Research (2 papers)Neural Computation (2 papers)IEEE Transactions on Information Theory (2 papers)IEEE Journal on Selected Areas in Communications (1 paper)IEEE Robotics and Automation Letters (1 paper)
- Partner nations
- SingaporeAustraliaUnited States
In The Last Decade
Wee Sun Lee
62 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 2.1k
- Computer Vision and Pattern Recognition 720
- Automotive Engineering 323
- Information Systems 435
- Control and Systems Engineering 313
Countries citing papers authored by Wee Sun Lee
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
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
The 25 scholars most cited alongside Wee Sun Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 7 | |
| 4 | Effective Attention Modeling for Aspect-Level Sentiment Classification | 2018 | 94 |
| 5 | 2018 | 144 | |
| 6 | Tensor Belief Propagation | 2017 | 2 |
| 7 | Shortest Path under Uncertainty: Exploration versus Exploitation. | 2017 | 6 |
| 8 | Adaptive stochastic optimization: from sets to paths | 2015 | 3 |
| 9 | Covering Number for Efficient Heuristic-based POMDP Planning | 2014 | 11 |
| 10 | Near-optimal adaptive pool-based active learning with general loss | 2014 | 2 |
| 11 | DESPOT: Online POMDP Planning with Regularization | 2013 | 142 |
| 12 | Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion | 2013 | 12 |
| 13 | Query-By-Multiple-Examples using Support Vector Machines | 2009 | 6 |
| 14 | Optimizing classifier performance in word sense disambiguation by redefining word sense classes | 2007 | 9 |
| 15 | Text classification by labeling words | 2004 | 118 |
| 16 | 2004 | 13 | |
| 17 | A Language Modeling Approach to Passage Question Answering | 2003 | 13 |
| 18 | Collaborative Learning and Recommender Systems | 2001 | 26 |
| 19 | Generalization in Decision Trees and DNF: Does Size Matter? | 1997 | 16 |
| 20 | 1996 | 99 |
About Wee Sun Lee
Wee Sun Lee is a scholar working on Computational Mathematics, Artificial Intelligence, Computer Vision and Pattern Recognition, Automotive Engineering and Information Systems, having authored 62 papers that have together received 3.0k indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Machine Learning and Algorithms (15 papers), Text and Document Classification Technologies (13 papers), Natural Language Processing Techniques (10 papers), Robotic Path Planning Algorithms (10 papers), Advanced Text Analysis Techniques (8 papers), Algorithms and Data Compression (7 papers) and Web Data Mining and Analysis (7 papers). The work is most often cited by research in Artificial Intelligence (2.1k citations), Computer Vision and Pattern Recognition (720 citations), Automotive Engineering (323 citations), Information Systems (435 citations) and Control and Systems Engineering (313 citations). Wee Sun Lee has collaborated with scholars based in Singapore, Australia and United States. Frequent co-authors include David Hsu, Dell Zhang, Hanna Kurniawati, Bing Liu, Hwee Tou Ng, Dell Zhang, Nan Ye, Ruidan He, Daniel Dahlmeier and Haoyu Bai. Their work appears in journals such as The International Journal of Robotics Research, Neural Computation, IEEE Transactions on Information Theory, IEEE Journal on Selected Areas in Communications and IEEE Robotics and Automation Letters.
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.