Ben Tan
Impact in
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- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM
- Anomaly Detection Techniques and Applications
- Privacy-Preserving Technologies in Data
Papers in
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- Domain Adaptation and Few-Shot Learning 5
- Topic Modeling 2
- Privacy-Preserving Technologies in Data 2
- Text and Document Classification Technologies 2
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- Multimodal Machine Learning Applications 3
- Video Surveillance and Tracking Methods 2
- Co-authors
- Qiang Yang (11 shared papers)Erheng Zhong (7 shared papers)Yangqiu Song (1 shared paper)Junping Zhang (2 shared papers)Sinno Jialin Pan (1 shared paper)Yu Zhang (1 shared paper)Liang Wang (1 shared paper)Evan Wei Xiang (2 shared papers)
- Journals
- Pervasive and Mobile Computing (1 paper)Statistical Analysis and Data Mining The ASA Data Science Journal (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)Pattern Recognition (1 paper)ACM Transactions on Intelligent Systems and Technology (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Ben Tan
13 papers receiving 510 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 207
- Artificial Intelligence 314
- Transportation 44
- Media Technology 29
- Information Systems 61
Countries citing papers authored by Ben Tan
This map shows the geographic impact of Ben Tan'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 Ben Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Tan more than expected).
Fields of papers citing papers by Ben Tan
This network shows the impact of papers produced by Ben Tan. 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 Ben Tan. The network helps show where Ben Tan may publish in the future.
Co-authors
The 22 scholars most cited alongside Ben Tan, 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 | 2015 | 120 | |
| 2 | 2017 | 95 | |
| 3 | 2010 | 63 | |
| 4 | 2020 | 46 | |
| 5 | 2014 | 39 | |
| 6 | 2013 | 36 | |
| 7 | 2014 | 31 | |
| 8 | 2011 | 30 | |
| 9 | 2013 | 24 | |
| 10 | 2014 | 12 | |
| 11 | Report of Task 3: Your Phone Understands You | 2012 | 12 |
| 12 | 2017 | 11 | |
| 13 | 2013 | 1 |
About Ben Tan
Ben Tan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Ocean Engineering and Transportation, having authored 13 papers that have together received 520 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (5 papers), Recommender Systems and Techniques (4 papers), Multimodal Machine Learning Applications (3 papers), Topic Modeling (2 papers), Privacy-Preserving Technologies in Data (2 papers), Video Surveillance and Tracking Methods (2 papers), Automated Road and Building Extraction (2 papers) and Text and Document Classification Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (207 citations), Artificial Intelligence (314 citations), Transportation (44 citations), Media Technology (29 citations) and Information Systems (61 citations). Ben Tan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Qiang Yang, Erheng Zhong, Yangqiu Song, Junping Zhang, Sinno Jialin Pan, Yu Zhang, Liang Wang, Evan Wei Xiang, Kaixiang Mo and Bo Liu. Their work appears in journals such as Pervasive and Mobile Computing, Statistical Analysis and Data Mining The ASA Data Science Journal, IEEE Transactions on Intelligent Transportation Systems, Pattern Recognition and ACM Transactions on Intelligent Systems and Technology.
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.