Ge Yang
Impact in
- Internal Medicine top 2%
- Venous Thromboembolism Diagnosis and Management
- Media Technology top 5%
- Image Processing Techniques and Applications
Papers in
-
- Video Surveillance and Tracking Methods 7
- Advanced Neural Network Applications 6
-
- Anomaly Detection Techniques and Applications 7
- Co-authors
- Bradley J. Nelson (5 shared papers)Alpesh Amin (1 shared paper)Jay Lin (1 shared paper)Gagan Agrawal (6 shared papers)Ruoming Jin (5 shared papers)J. A. Gaines (3 shared papers)Haijie Wang (2 shared papers)Joyce H. Keyak (3 shared papers)
- Journals
- Multimedia Tools and Applications (5 papers)IEEE Transactions on Knowledge and Data Engineering (1 paper)Future Generation Computer Systems (1 paper)Chemical Engineering Science (1 paper)Process Safety and Environmental Protection (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Ge Yang
50 papers receiving 761 citations
Peers
Comparison fields: 5 of 110
- Internal Medicine 164
- Media Technology 125
- Biophysics 55
- Computer Vision and Pattern Recognition 167
- Emergency Medical Services 42
Countries citing papers authored by Ge Yang
This map shows the geographic impact of Ge 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 Ge Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Yang more than expected).
Fields of papers citing papers by Ge Yang
This network shows the impact of papers produced by Ge 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 Ge Yang. The network helps show where Ge Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ge 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 171 | |
| 2 | 2004 | 111 | |
| 3 | 2004 | 95 | |
| 4 | 2002 | 58 | |
| 5 | 2005 | 37 | |
| 6 | 2018 | 28 | |
| 7 | 2021 | 25 | |
| 8 | 2021 | 21 | |
| 9 | 2021 | 21 | |
| 10 | 2006 | 21 | |
| 11 | 2021 | 20 | |
| 12 | 2007 | 17 | |
| 13 | 2005 | 16 | |
| 14 | 2001 | 14 | |
| 15 | 2021 | 13 | |
| 16 | 2022 | 12 | |
| 17 | 2019 | 9 | |
| 18 | 2004 | 9 | |
| 19 | 2000 | 8 | |
| 20 | 2022 | 8 |
About Ge Yang
Ge Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Computational Mechanics and Industrial and Manufacturing Engineering, having authored 52 papers that have together received 802 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (7 papers), Anomaly Detection Techniques and Applications (7 papers), Advanced Neural Network Applications (6 papers), Data Management and Algorithms (5 papers), Industrial Vision Systems and Defect Detection (5 papers), Advanced Database Systems and Queries (5 papers), Image Processing Techniques and Applications (4 papers) and Cell Image Analysis Techniques (3 papers). The work is most often cited by research in Internal Medicine (164 citations), Media Technology (125 citations), Biophysics (55 citations), Computer Vision and Pattern Recognition (167 citations) and Emergency Medical Services (42 citations). Ge Yang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Bradley J. Nelson, Alpesh Amin, Jay Lin, Gagan Agrawal, Ruoming Jin, J. A. Gaines, Haijie Wang, Joyce H. Keyak, G. Lin and William C. Tang. Their work appears in journals such as Multimedia Tools and Applications, IEEE Transactions on Knowledge and Data Engineering, Future Generation Computer Systems, Chemical Engineering Science and Process Safety and Environmental Protection.
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.