W.-M. Yao
Impact in
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- Particle physics theoretical and experimental studies
- Dark Matter and Cosmic Phenomena
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Black Holes and Theoretical Physics
- Particle Detector Development and Performance
- Neutrino Physics Research
- Astronomy and Astrophysics top 10%
- Cosmology and Gravitation Theories
Papers in
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- Video Surveillance and Tracking Methods 1
- Image and Signal Denoising Methods 1
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- Particle physics theoretical and experimental studies 2
- High-Energy Particle Collisions Research 2
- Co-authors
- F. Paige (1 shared paper)M. Shapiro (1 shared paper)I. Hinchliffe (1 shared paper)J. Söderqvist (1 shared paper)S. Mrenna (1 shared paper)E. James (1 shared paper)P. Verdier (1 shared paper)M. Herndon (1 shared paper)
- Journals
- Multimedia Systems (1 paper)PLoS ONE (1 paper)Journal of Computer-Aided Design & Computer Graphics (1 paper)Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields (1 paper)Applied and Computational Engineering (1 paper)
In The Last Decade
W.-M. Yao
4 papers receiving 274 citations
Peers
Comparison fields: 5 of 16
- Nuclear and High Energy Physics 277
- Astronomy and Astrophysics 99
- Artificial Intelligence 10
- Statistical and Nonlinear Physics 2
- Computer Vision and Pattern Recognition 3
Countries citing papers authored by W.-M. Yao
This map shows the geographic impact of W.-M. 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 W.-M. Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W.-M. Yao more than expected).
Fields of papers citing papers by W.-M. Yao
This network shows the impact of papers produced by W.-M. 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 W.-M. Yao. The network helps show where W.-M. Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside W.-M. 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 | 1997 | 268 | |
| 2 | Combined CDF and D0 Upper Limits on Standard Model Higgs Boson Production with up to 8.2 fb-1 of Data | 2011 | 9 |
| 3 | 2024 | 2 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 0 | |
| 7 | 2025 | 0 |
About W.-M. Yao
W.-M. Yao is a scholar working on Computer Vision and Pattern Recognition, Nuclear and High Energy Physics, Social Psychology, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 7 papers that have together received 280 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (2 papers), High-Energy Particle Collisions Research (2 papers), Imbalanced Data Classification Techniques (1 paper), Color perception and design (1 paper), Infrared Target Detection Methodologies (1 paper), Video Surveillance and Tracking Methods (1 paper), Image and Signal Denoising Methods (1 paper) and Multisensory perception and integration (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (277 citations), Astronomy and Astrophysics (99 citations), Artificial Intelligence (10 citations), Statistical and Nonlinear Physics (2 citations) and Computer Vision and Pattern Recognition (3 citations). W.-M. Yao has collaborated with scholars based in China, Greece and France. Frequent co-authors include F. Paige, M. Shapiro, I. Hinchliffe, J. Söderqvist, S. Mrenna, E. James, P. Verdier, M. Herndon, G. Brooijmans and T. R. Junk. Their work appears in journals such as Multimedia Systems, PLoS ONE, Journal of Computer-Aided Design & Computer Graphics, Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields and Applied and Computational 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.