Chia-Chih Chen
Impact in
- Human-Computer Interaction top 0.5%
- Hand Gesture Recognition Systems
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Context-Aware Activity Recognition Systems
- Multimodal Machine Learning Applications
- Video Analysis and Summarization
Papers in
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- Video Surveillance and Tracking Methods 7
- Human Pose and Action Recognition 6
- Advanced Image and Video Retrieval Techniques 2
- Multimodal Machine Learning Applications 1
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- Anomaly Detection Techniques and Applications 6
- Co-authors
- J.K. Aggarwal (10 shared papers)Lu Xia (2 shared papers)Michael S. Ryoo (3 shared papers)Amit K. Roy–Chowdhury (1 shared paper)Jong Taek Lee (1 shared paper)
- Journals
- Machine Vision and Applications (1 paper)Lecture notes in computer science (1 paper)Proceedings - International Conference on Pattern Recognition (1 paper)Texas ScholarWorks (Texas Digital Library) (1 paper)
- Partner nations
- United States
In The Last Decade
Chia-Chih Chen
11 papers receiving 1.8k citations
Chia-Chih Chen's Hit Papers
Peers
Comparison fields: 5 of 81
- Human-Computer Interaction 532
- Computer Vision and Pattern Recognition 1.7k
- Artificial Intelligence 628
- Biomedical Engineering 649
- Control and Systems Engineering 127
Countries citing papers authored by Chia-Chih Chen
This map shows the geographic impact of Chia-Chih Chen'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 Chia-Chih Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia-Chih Chen more than expected).
Fields of papers citing papers by Chia-Chih Chen
This network shows the impact of papers produced by Chia-Chih Chen. 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 Chia-Chih Chen. The network helps show where Chia-Chih Chen may publish in the future.
Co-authors
The 5 scholars most cited alongside Chia-Chih Chen, 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 | View invariant human action recognition using histograms of 3D joints Hit paper breakdown → | 2012 | 1125 |
| 2 | Human detection using depth information by Kinect Hit paper breakdown → | 2011 | 392 |
| 3 | 2010 | 188 | |
| 4 | 2007 | 42 | |
| 5 | 2009 | 40 | |
| 6 | 2010 | 35 | |
| 7 | 2009 | 28 | |
| 8 | 2011 | 25 | |
| 9 | 2008 | 14 | |
| 10 | 2011 | 9 | |
| 11 | 2008 | 4 |
About Chia-Chih Chen
Chia-Chih Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Safety, Risk, Reliability and Quality and Environmental Engineering, having authored 11 papers that have together received 1.9k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (7 papers), Human Pose and Action Recognition (6 papers), Anomaly Detection Techniques and Applications (6 papers), Gait Recognition and Analysis (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Hand Gesture Recognition Systems (1 paper), Multimodal Machine Learning Applications (1 paper) and Fire Detection and Safety Systems (1 paper). The work is most often cited by research in Human-Computer Interaction (532 citations), Computer Vision and Pattern Recognition (1.7k citations), Artificial Intelligence (628 citations), Biomedical Engineering (649 citations) and Control and Systems Engineering (127 citations). Chia-Chih Chen has collaborated with scholars based in United States. Frequent co-authors include J.K. Aggarwal, Lu Xia, Michael S. Ryoo, Amit K. Roy–Chowdhury and Jong Taek Lee. Their work appears in journals such as Machine Vision and Applications, Lecture notes in computer science, Proceedings - International Conference on Pattern Recognition and Texas ScholarWorks (Texas Digital Library).
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.