T. Huang
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- Video Surveillance and Tracking Methods 3
- Advanced Vision and Imaging 2
- Image Enhancement Techniques 1
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety 2
- Artificial Intelligence top 10%
- Bayesian Modeling and Causal Inference 3
- Anomaly Detection Techniques and Applications 3
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- Advanced Algorithms and Applications 1
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- Remote Sensing and Land Use 1
- Co-authors
- Stuart RussellDaniela KollerJitendra MalikB. V. RaoJoseph WeberG. OgasawaraFisher YuHaofeng Chen
- Cited by
- Computer Vision and Pattern RecognitionAutomotive EngineeringSafety, Risk, Reliability and Quality
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Water (1 paper)Journal of Physics Conference Series (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
T. Huang
8 papers receiving 412 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 360
- Automotive Engineering 62
- Safety, Risk, Reliability and Quality 38
- Artificial Intelligence 119
- Signal Processing 33
Countries citing papers authored by T. Huang
This map shows the geographic impact of T. Huang'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 T. Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Huang more than expected).
Fields of papers citing papers by T. Huang
This network shows the impact of papers produced by T. Huang. 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 T. Huang. The network helps show where T. Huang may publish in the future.
Co-authorship network
The 22 scholars most cited alongside T. Huang, 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 | 2023 | 63 | |
| 3 | 2006 | 1 | |
| 4 | 2003 | 28 | |
| 5 | 2002 | 3 | |
| 6 | 2002 | 266 | |
| 7 | 2002 | 1 | |
| 8 | Automatic symbolic traffic scene analysis using belief networks | 1994 | 85 |
About T. Huang
T. Huang is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 8 papers that have together received 448 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (3 papers), Video Surveillance and Tracking Methods (3 papers), Anomaly Detection Techniques and Applications (3 papers), Advanced Vision and Imaging (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Advanced Algorithms and Applications (1 paper), Image Enhancement Techniques (1 paper) and Remote Sensing and Land Use (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (360 citations), Automotive Engineering (62 citations) and Safety, Risk, Reliability and Quality (38 citations). T. Huang has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Stuart Russell, Daniela Koller, Jitendra Malik, B. V. Rao, Joseph Weber, G. Ogasawara, Fisher Yu, Haofeng Chen, Yunqiang Chen and Jiangmiao Pang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Water and Journal of Physics Conference Series.
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.