Simon Tong
Impact in
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- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
- Artificial Intelligence top 1%
- Machine Learning and Algorithms
- Natural Language Processing Techniques
- Bayesian Modeling and Causal Inference
- Machine Learning and Data Classification
Papers in
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- Machine Learning and Algorithms 4
- Bayesian Modeling and Causal Inference 2
- Natural Language Processing Techniques 2
- Topic Modeling 1
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- Image Retrieval and Classification Techniques 3
- Co-authors
- Daphne Koller (4 shared papers)Noam Shazeer (1 shared paper)Niki Parmar (1 shared paper)Chris Alberti (1 shared paper)Shankar Kumar (1 shared paper)Yun Zhu (1 shared paper)Liangchen Luo (1 shared paper)Lei Meng (1 shared paper)
- Journals
- International Conference on Machine Learning (1 paper)Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (1 paper)International Joint Conference on Artificial Intelligence (1 paper)National Conference on Artificial Intelligence (1 paper)ACM International Conference on Multimedia (ACM MM) (2 papers)
- Partner nations
- United States
In The Last Decade
Simon Tong
9 papers receiving 2k citations
Simon Tong's Hit Papers
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 909
- Information Systems 277
- Media Technology 37
- Signal Processing 30
Countries citing papers authored by Simon Tong
This map shows the geographic impact of Simon Tong'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 Simon Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Tong more than expected).
Fields of papers citing papers by Simon Tong
This network shows the impact of papers produced by Simon Tong. 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 Simon Tong. The network helps show where Simon Tong may publish in the future.
Co-authors
The 11 scholars most cited alongside Simon Tong, 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 | Support vector machine active learning for image retrieval Hit paper breakdown → | 2001 | 1056 |
| 2 | 2001 | 413 | |
| 3 | Support Vector Machine Active Learning with Application sto Text Classification | 2000 | 329 |
| 4 | Active learning for structure in Bayesian networks | 2001 | 104 |
| 5 | Active Learning for Parameter Estimation in Bayesian Networks | 2000 | 97 |
| 6 | 2019 | 95 | |
| 7 | Support Vector Machine Concept-Dependent Active Learning for Image Retrieval | 2005 | 40 |
| 8 | Restricted Bayes Optimal Classifiers | 2000 | 33 |
| 9 | 2024 | 16 |
About Simon Tong
Simon Tong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 9 papers that have together received 2.2k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (4 papers), Information Retrieval and Search Behavior (3 papers), Image Retrieval and Classification Techniques (3 papers), Bayesian Modeling and Causal Inference (2 papers), Natural Language Processing Techniques (2 papers) and Topic Modeling (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (909 citations), Information Systems (277 citations), Media Technology (37 citations) and Signal Processing (30 citations). Simon Tong has collaborated with scholars based in United States. Frequent co-authors include Daphne Koller, Noam Shazeer, Niki Parmar, Chris Alberti, Shankar Kumar, Yun Zhu, Liangchen Luo, Lei Meng, Yinxiao Liu and Jindong Chen. Their work appears in journals such as International Conference on Machine Learning, Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), International Joint Conference on Artificial Intelligence, National Conference on Artificial Intelligence and ACM International Conference on Multimedia (ACM MM).
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.