Chen-Yu Hsu
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Aerospace Engineering top 10%
- Co-authors
- Dina KatabiFrédo DurandHongzi MaoFadel AdibRumen HristovGuang-He LeeZachary KabelacYonglong Tian
- Topics
- Context-Aware Activity Recognition Systems (4 papers)Indoor and Outdoor Localization Technologies (3 papers)Speech and Audio Processing (3 papers)
- Journals
- ACM Transactions on GraphicsAmerican Journal of Geriatric PsychiatryProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
- Partner nations
- United StatesTaiwanHong Kong
In The Last Decade
Chen-Yu Hsu
14 papers receiving 797 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Electrical and Electronic Engineering 424
- Biomedical Engineering 356
- Computer Vision and Pattern Recognition 241
- Computer Networks and Communications 147
- Aerospace Engineering 122
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-authorship network of co-authors of Chen-Yu Hsu
This figure shows the co-authorship network connecting the top 25 collaborators of Chen-Yu Hsu. A scholar is included among the top collaborators of Chen-Yu Hsu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chen-Yu Hsu. Chen-Yu Hsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | Self-Supervised Learning of Appliance Usage | 4 |
| 4 | 19 | |
| 5 | 31 | |
| 6 | 66 | |
| 7 | 1 | |
| 8 | Learning-Based Frequency Estimation Algorithms. | 26 |
| 9 | 131 | |
| 10 | 29 | |
| 11 | 77 | |
| 12 | 90 | |
| 13 | Capturing the human figure through a wallbreakdown → | 326 |
| 14 | 3 | |
| 15 | 22 |
About Chen-Yu Hsu
Chen-Yu Hsu is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Computer Vision and Pattern Recognition and Signal Processing, having authored 15 papers that have together received 826 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (4 papers), Indoor and Outdoor Localization Technologies (3 papers) and Speech and Audio Processing (3 papers). The work is most often cited by research in Human-Computer Interaction (84 citations), Acoustics and Ultrasonics (12 citations) and Computer Vision and Pattern Recognition (241 citations). Chen-Yu Hsu has collaborated with scholars based in United States, Taiwan and Hong Kong. Frequent co-authors include Dina Katabi, Frédo Durand, Hongzi Mao, Fadel Adib, Rumen Hristov, Guang-He Lee, Zachary Kabelac, Yonglong Tian, Hao He and Christine Liu. Their work appears in journals such as ACM Transactions on Graphics, American Journal of Geriatric Psychiatry and Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies.
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.