Shuo Yang
Impact in
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- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Image and Video Stabilization
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Media Technology top 5%
- Advanced Image Fusion Techniques
- Advanced Optical Imaging Technologies
Papers in
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- Semantic Web and Ontologies 5
- Topic Modeling 4
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- Face and Expression Recognition 4
- Co-authors
- Ran Wei (7 shared papers)Jingzhi Guo (6 shared papers)Minghui Wang (2 shared papers)Jie Xu (1 shared paper)Hua-Wen Chang (1 shared paper)Huiyu Zhou (1 shared paper)Wenhan Yang (1 shared paper)Liyan Zhang (1 shared paper)
- Journals
- IEEE Access (3 papers)Veterinary Microbiology (2 papers)Wireless Networks (2 papers)Pharmacology (1 paper)BMC Microbiology (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Shuo Yang
58 papers receiving 458 citations
Peers
Comparison fields: 5 of 122
- Computer Vision and Pattern Recognition 178
- Media Technology 76
- Health Information Management 15
- Artificial Intelligence 80
- Computer Networks and Communications 52
Countries citing papers authored by Shuo Yang
This map shows the geographic impact of Shuo Yang'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 Shuo Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuo Yang more than expected).
Fields of papers citing papers by Shuo Yang
This network shows the impact of papers produced by Shuo Yang. 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 Shuo Yang. The network helps show where Shuo Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuo Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 88 | |
| 2 | 2012 | 55 | |
| 3 | 2022 | 26 | |
| 4 | 2017 | 25 | |
| 5 | 2023 | 24 | |
| 6 | 2016 | 20 | |
| 7 | 2023 | 17 | |
| 8 | 2022 | 17 | |
| 9 | 2023 | 16 | |
| 10 | 2005 | 13 | |
| 11 | 2020 | 13 | |
| 12 | 2024 | 11 | |
| 13 | 2018 | 11 | |
| 14 | 2023 | 9 | |
| 15 | 2013 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2023 | 6 | |
| 18 | 2018 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2023 | 5 |
About Shuo Yang
Shuo Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Media Technology and Computer Networks and Communications, having authored 70 papers that have together received 469 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (6 papers), Semantic Web and Ontologies (5 papers), Face and Expression Recognition (4 papers), Topic Modeling (4 papers), Data Quality and Management (4 papers), Remote-Sensing Image Classification (4 papers), Robotics and Sensor-Based Localization (3 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (178 citations), Media Technology (76 citations), Health Information Management (15 citations), Artificial Intelligence (80 citations) and Computer Networks and Communications (52 citations). Shuo Yang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Ran Wei, Jingzhi Guo, Minghui Wang, Jie Xu, Hua-Wen Chang, Huiyu Zhou, Wenhan Yang, Liyan Zhang, Yun Du and Mingqiang Wei. Their work appears in journals such as IEEE Access, Veterinary Microbiology, Wireless Networks, Pharmacology and BMC Microbiology.
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.