Simon Tong
Impact in
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- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Video Analysis and Summarization
- Face and Expression Recognition
- Artificial Intelligence top 1%
- Machine Learning and Algorithms
- Machine Learning and Data Classification
- Algorithms and Data Compression
- Text and Document Classification Technologies
Papers in
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- Machine Learning and Algorithms 6
- Machine Learning and Data Classification 3
- Bayesian Modeling and Causal Inference 2
- AI-based Problem Solving and Planning 1
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- Advanced Image and Video Retrieval Techniques 2
- Image Retrieval and Classification Techniques 2
- Co-authors
- Edward Yi Chang (2 shared papers)Daphne Koller (5 shared papers)K. R. Tobutt (1 shared paper)M. S. Ridout (1 shared paper)
- Journals
- Genetics Research (1 paper)National Conference on Artificial Intelligence (1 paper)Neural Information Processing Systems (1 paper)International Joint Conference on Artificial Intelligence (1 paper)International Conference on Machine Learning (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Simon Tong
8 papers receiving 1.4k citations
Simon Tong's Hit Papers
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 821
- Artificial Intelligence 902
- Media Technology 101
- Signal Processing 120
- Management Science and Operations Research 63
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 4 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 | 900 |
| 2 | Support Vector Machine Active Learning with Application sto Text Classification | 2000 | 281 |
| 3 | Active learning: theory and applications | 2001 | 126 |
| 4 | Active Learning for Parameter Estimation in Bayesian Networks | 2000 | 90 |
| 5 | Active learning for structure in Bayesian networks | 2001 | 86 |
| 6 | Support Vector Machine Concept-Dependent Active Learning for Image Retrieval | 2005 | 36 |
| 7 | Restricted Bayes Optimal Classifiers | 2000 | 28 |
| 8 | 1998 | 14 |
About Simon Tong
Simon Tong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research, Genetics and Plant Science, having authored 8 papers that have together received 1.6k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (6 papers), Machine Learning and Data Classification (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Bayesian Modeling and Causal Inference (2 papers), Image Retrieval and Classification Techniques (2 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), AI-based Problem Solving and Planning (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (821 citations), Artificial Intelligence (902 citations), Media Technology (101 citations), Signal Processing (120 citations) and Management Science and Operations Research (63 citations). Simon Tong has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Edward Yi Chang, Daphne Koller, K. R. Tobutt and M. S. Ridout. Their work appears in journals such as Genetics Research, National Conference on Artificial Intelligence, Neural Information Processing Systems, International Joint Conference on Artificial Intelligence and International Conference on Machine Learning.
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.