Andrew Feng
- Health Informatics top 5%
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems 7
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- Human Pose and Action Recognition 15
- Face recognition and analysis 5
- Artificial Intelligence top 5%
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- Computer Graphics and Visualization Techniques 6
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- Human Motion and Animation 21
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- 3D Shape Modeling and Analysis 7
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- Social Robot Interaction and HRI 5
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- 3D Surveying and Cultural Heritage 4
- Co-authors
- Ari ShapiroYuyu XuDaguang XuWenqi LiStacy MarsellaYan ChengM. Jorge CardosoSébastien Ourselin
- Journals
- IEEE Transactions on Medical Imaging (1 paper)Remote Sensing (1 paper)Journal of Management in Engineering (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Andrew Feng
45 papers receiving 886 citations
Peers
Comparison fields: 5 of 102
- Health Informatics 49
- Human-Computer Interaction 157
- Computer Vision and Pattern Recognition 313
- Artificial Intelligence 364
- Computer Graphics and Computer-Aided Design 35
Countries citing papers authored by Andrew Feng
This map shows the geographic impact of Andrew Feng'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 Andrew Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Feng more than expected).
Fields of papers citing papers by Andrew Feng
This network shows the impact of papers produced by Andrew Feng. 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 Andrew Feng. The network helps show where Andrew Feng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrew Feng, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 64 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 0 | |
| 11 | 2022 | 8 | |
| 12 | 2019 | 0 | |
| 13 | 2019 | 294 | |
| 14 | 2019 | 11 | |
| 15 | 2018 | 21 | |
| 16 | 2017 | 17 | |
| 17 | Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale | 2016 | 14 |
| 18 | 2015 | 8 | |
| 19 | Towards Cloth-Manipulating Characters | 2014 | 3 |
| 20 | 2013 | 104 |
About Andrew Feng
Andrew Feng is a scholar working on Human-Computer Interaction, Computer Graphics and Computer-Aided Design and Health Informatics, having authored 50 papers that have together received 918 indexed citations. Recurring topics across this work include Human Motion and Animation (21 papers), Human Pose and Action Recognition (15 papers), Hand Gesture Recognition Systems (7 papers), 3D Shape Modeling and Analysis (7 papers), Computer Graphics and Visualization Techniques (6 papers), Face recognition and analysis (5 papers), Social Robot Interaction and HRI (5 papers) and 3D Surveying and Cultural Heritage (4 papers). The work is most often cited by research in Health Informatics (49 citations), Human-Computer Interaction (157 citations) and Computer Vision and Pattern Recognition (313 citations). Andrew Feng has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Ari Shapiro, Yuyu Xu, Daguang Xu, Wenqi Li, Stacy Marsella, Yan Cheng, M. Jorge Cardoso, Sébastien Ourselin, Maximilian Baust and Wentao Zhu. Their work appears in journals such as IEEE Transactions on Medical Imaging, Remote Sensing, Journal of Management in Engineering, Journal of Hepatology and Journal of Computing in Civil Engineering.
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.