Chen-Yu Hsu
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
- Acoustics and Ultrasonics top 10%
Papers in
-
- Indoor and Outdoor Localization Technologies 3
- IoT-based Smart Home Systems 2
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- Context-Aware Activity Recognition Systems 3
- Image Enhancement Techniques 1
- Co-authors
- Dina Katabi (10 shared papers)Frédo Durand (1 shared paper)Fadel Adib (1 shared paper)Hongzi Mao (1 shared paper)Rumen Hristov (4 shared papers)Guang-He Lee (3 shared papers)Zachary Kabelac (5 shared papers)Yonglong Tian (1 shared paper)
- Journals
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (3 papers)ACM Transactions on Graphics (1 paper)American Journal of Geriatric Psychiatry (1 paper)PubMed (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (2 papers)
- Partner nations
- United StatesTaiwanHong Kong
In The Last Decade
Chen-Yu Hsu
14 papers receiving 838 citations
Chen-Yu Hsu's Hit Papers
Peers
Comparison fields: 5 of 91
- Human-Computer Interaction 92
- Acoustics and Ultrasonics 13
- Computer Vision and Pattern Recognition 250
- Instrumentation 32
- Signal Processing 102
Countries citing papers authored by Chen-Yu Hsu
This map shows the geographic impact of Chen-Yu Hsu'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 Chen-Yu Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen-Yu Hsu more than expected).
Fields of papers citing papers by Chen-Yu Hsu
This network shows the impact of papers produced by Chen-Yu Hsu. 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 Chen-Yu Hsu. The network helps show where Chen-Yu Hsu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen-Yu Hsu, 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 | Capturing the human figure through a wall Hit paper breakdown → | 2015 | 342 |
| 2 | 2018 | 138 | |
| 3 | 2017 | 93 | |
| 4 | 2017 | 82 | |
| 5 | 2019 | 69 | |
| 6 | 2019 | 35 | |
| 7 | Learning-Based Frequency Estimation Algorithms. | 2018 | 30 |
| 8 | 2018 | 29 | |
| 9 | 2020 | 23 | |
| 10 | 2013 | 22 | |
| 11 | Self-Supervised Learning of Appliance Usage | 2020 | 4 |
| 12 | 2014 | 3 | |
| 13 | 2023 | 1 | |
| 14 | 2019 | 1 | |
| 15 | 2024 | 0 |
About Chen-Yu Hsu
Chen-Yu Hsu is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Signal Processing, Biomedical Engineering and Artificial Intelligence, having authored 15 papers that have together received 872 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (3 papers), Indoor and Outdoor Localization Technologies (3 papers), Gait Recognition and Analysis (3 papers), Speech and Audio Processing (3 papers), Balance, Gait, and Falls Prevention (2 papers), IoT-based Smart Home Systems (2 papers), Image Enhancement Techniques (1 paper) and IoT and Edge/Fog Computing (1 paper). The work is most often cited by research in Human-Computer Interaction (92 citations), Acoustics and Ultrasonics (13 citations), Computer Vision and Pattern Recognition (250 citations), Instrumentation (32 citations) and Signal Processing (102 citations). Chen-Yu Hsu has collaborated with scholars based in United States, Taiwan and Hong Kong. Frequent co-authors include Dina Katabi, Frédo Durand, Fadel Adib, Hongzi Mao, Rumen Hristov, Guang-He Lee, Zachary Kabelac, Yonglong Tian, Hao He and Yuchen Liu. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, ACM Transactions on Graphics, American Journal of Geriatric Psychiatry, PubMed and DSpace@MIT (Massachusetts Institute of Technology).
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.