Jeff K. T. Tang
- Human-Computer Interaction top 2%
- Virtual Reality Applications and Impacts 3
- Interactive and Immersive Displays 3
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- Video Analysis and Summarization 7
- Human Pose and Action Recognition 7
- Augmented Reality Applications 5
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- Human Motion and Animation 8
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- Natural Language Processing Techniques 3
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- Robotics and Sensor-Based Localization 3
- Co-authors
- Howard LeungTaku KomuraJacky C. P. ChanHubert P. H. ShumDickson K.W. ChiuDi ZouPatrick C. K. HungFu Lee Wang
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionControl and Systems Engineering
In The Last Decade
Jeff K. T. Tang
31 papers receiving 555 citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Human-Computer Interaction 187
- Computer Vision and Pattern Recognition 315
- Control and Systems Engineering 220
- Developmental and Educational Psychology 69
- Computer Science Applications 19
Countries citing papers authored by Jeff K. T. Tang
This map shows the geographic impact of Jeff K. T. Tang'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 Jeff K. T. Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff K. T. Tang more than expected).
Fields of papers citing papers by Jeff K. T. Tang
This network shows the impact of papers produced by Jeff K. T. Tang. 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 Jeff K. T. Tang. The network helps show where Jeff K. T. Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeff K. T. Tang, 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 | 3 | |
| 2 | 2023 | 14 | |
| 3 | 2021 | 3 | |
| 4 | 2020 | 27 | |
| 5 | 2019 | 4 | |
| 6 | 2017 | 7 | |
| 7 | 2016 | 3 | |
| 8 | 2016 | 8 | |
| 9 | 2014 | 6 | |
| 10 | 2014 | 8 | |
| 11 | 2013 | 2 | |
| 12 | 2013 | 4 | |
| 13 | 2012 | 8 | |
| 14 | 2011 | 21 | |
| 15 | 2011 | 25 | |
| 16 | A Virtual Reality Dance Training System Using Motion Capture Technologybreakdown → | 2010 | 312 |
| 17 | 2008 | 41 | |
| 18 | Ubiquitous Performance Training Tool Using Motion Capture Technology | 2007 | 2 |
| 19 | 2007 | 2 | |
| 20 | Teaching Chinese Handwriting by Automatic Feedback and Analysis for Incorrect Stroke Sequence and Stroke Production Errors | 2006 | 5 |
About Jeff K. T. Tang
Jeff K. T. Tang is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 32 papers that have together received 587 indexed citations. Recurring topics across this work include Human Motion and Animation (8 papers), Video Analysis and Summarization (7 papers), Human Pose and Action Recognition (7 papers), Augmented Reality Applications (5 papers), Virtual Reality Applications and Impacts (3 papers), Interactive and Immersive Displays (3 papers), Natural Language Processing Techniques (3 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Human-Computer Interaction (187 citations), Computer Vision and Pattern Recognition (315 citations) and Control and Systems Engineering (220 citations). Jeff K. T. Tang has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include Howard Leung, Taku Komura, Jacky C. P. Chan, Hubert P. H. Shum, Dickson K.W. Chiu, Di Zou, Patrick C. K. Hung, Fu Lee Wang, Takeo Igarashi and Reggie Kwan. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Knowledge-Based Systems and Pattern Recognition 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.