Duan Tran
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Face recognition and analysis
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
Papers in
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- Human Pose and Action Recognition 4
- Multimodal Machine Learning Applications 3
- Video Surveillance and Tracking Methods 2
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- Hand Gesture Recognition Systems 3
- Co-authors
- Zicheng Liao (2 shared papers)Yang Wang (1 shared paper)Daniel Vaquero (1 shared paper)Rogério Feris (1 shared paper)Lisa M. Brown (1 shared paper)Arun Hampapur (1 shared paper)Matthew Turk (1 shared paper)David Forsyth (3 shared papers)
- Journals
- Clinical Social Work Journal (1 paper)Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign) (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Duan Tran
6 papers receiving 260 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 258
- Human-Computer Interaction 35
- Artificial Intelligence 63
- Signal Processing 15
- Biomedical Engineering 36
Countries citing papers authored by Duan Tran
This map shows the geographic impact of Duan Tran'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 Duan Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duan Tran more than expected).
Fields of papers citing papers by Duan Tran
This network shows the impact of papers produced by Duan Tran. 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 Duan Tran. The network helps show where Duan Tran may publish in the future.
Co-authors
The 10 scholars most cited alongside Duan Tran, 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 | 2009 | 125 | |
| 2 | 2011 | 106 | |
| 3 | Configuration Estimates Improve Pedestrian Finding | 2007 | 31 |
| 4 | Discriminative Hierarchical Part-Based Models for Human Parsing and Action Recognition. | 2017 | 3 |
| 5 | 2021 | 2 | |
| 6 | 2014 | 2 |
About Duan Tran
Duan Tran is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, General Health Professions, Physiology and Public Administration, having authored 6 papers that have together received 269 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Hand Gesture Recognition Systems (3 papers), Multimodal Machine Learning Applications (3 papers), Video Surveillance and Tracking Methods (2 papers), Social Work Education and Practice (1 paper), Simulation-Based Education in Healthcare (1 paper), Interprofessional Education and Collaboration (1 paper) and Gait Recognition and Analysis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (258 citations), Human-Computer Interaction (35 citations), Artificial Intelligence (63 citations), Signal Processing (15 citations) and Biomedical Engineering (36 citations). Duan Tran has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Zicheng Liao, Yang Wang, Daniel Vaquero, Rogério Feris, Lisa M. Brown, Arun Hampapur, Matthew Turk, David Forsyth, Yang Wang and Yang Wang. Their work appears in journals such as Clinical Social Work Journal and Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign).
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.