Fei Yao
Impact in
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- Computational Geometry and Mesh Generation
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
- Real-Time Systems Scheduling
- Embedded Systems Design Techniques
Papers in
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- Computational Geometry and Mesh Generation 11
-
- Ionosphere and magnetosphere dynamics 26
- Solar and Space Plasma Dynamics 18
- Co-authors
- Alan DemersScott ShenkerRonald GrahamMichael S. PatersonMike PatersonAndrew Chi-Chih YaoDavid EppsteinZhigang Yuan
- Journals
- Geophysical Research Letters (12 papers)Journal of Algorithms (3 papers)Applied Physics B (3 papers)Discrete & Computational Geometry (2 papers)Journal of Rare Earths (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Fei Yao
53 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Computer Graphics and Computer-Aided Design 430
- Hardware and Architecture 677
- Computer Networks and Communications 796
- Computer Vision and Pattern Recognition 521
- Signal Processing 249
Countries citing papers authored by Fei Yao
This map shows the geographic impact of Fei Yao'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 Fei Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Yao more than expected).
Fields of papers citing papers by Fei Yao
This network shows the impact of papers produced by Fei Yao. 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 Fei Yao. The network helps show where Fei Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Yao, 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 | 2025 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 17 | |
| 12 | 2022 | 44 | |
| 13 | 2021 | 48 | |
| 14 | 2020 | 3 | |
| 15 | 2020 | 4 | |
| 16 | 2019 | 3 | |
| 17 | 2006 | 28 | |
| 18 | 1990 | 8 | |
| 19 | 1989 | 37 | |
| 20 | 1983 | 274 |
About Fei Yao
Fei Yao is a scholar working on Computer Graphics and Computer-Aided Design, Astronomy and Astrophysics, Geophysics, Signal Processing and Computer Vision and Pattern Recognition, having authored 60 papers that have together received 2.6k indexed citations. Recurring topics across this work include Ionosphere and magnetosphere dynamics (26 papers), Solar and Space Plasma Dynamics (18 papers), Earthquake Detection and Analysis (17 papers), Computational Geometry and Mesh Generation (11 papers), Data Management and Algorithms (7 papers), Digital Image Processing Techniques (6 papers), Geomagnetism and Paleomagnetism Studies (5 papers) and Mobile Ad Hoc Networks (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (430 citations), Hardware and Architecture (677 citations), Computer Networks and Communications (796 citations), Computer Vision and Pattern Recognition (521 citations) and Signal Processing (249 citations). Fei Yao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Alan Demers, Scott Shenker, Ronald Graham, Michael S. Paterson, Mike Paterson, Andrew Chi-Chih Yao, David Eppstein, Zhigang Yuan, Xiongdong Yu and S. Y. Huang. Their work appears in journals such as Geophysical Research Letters, Journal of Algorithms, Applied Physics B, Discrete & Computational Geometry and Journal of Rare Earths.
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.