Junwei Yang
Impact in
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks
- Anomaly Detection Techniques and Applications
-
- Advanced Image Processing Techniques
Papers in
-
- Advanced MRI Techniques and Applications 8
- Medical Imaging Techniques and Applications 7
- Radiomics and Machine Learning in Medical Imaging 4
- Cardiac Imaging and Diagnostics 3
- Co-authors
- Wei Wang (1 shared paper)Píetro Lió (4 shared papers)Qingqing Long (1 shared paper)Zheng Fang (1 shared paper)Jingyang Yuan (1 shared paper)Fang Sun (1 shared paper)Jianhao Shen (1 shared paper)Ming Zhang (1 shared paper)
- Journals
- Journal of Semiconductors (2 papers)IEEE Transactions on Medical Imaging (2 papers)Energy (2 papers)Structures (1 paper)Microelectronics Reliability (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Junwei Yang
38 papers receiving 514 citations
Junwei Yang's Hit Papers
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 177
- Computer Vision and Pattern Recognition 101
- Signal Processing 47
- Condensed Matter Physics 33
- Health Informatics 4
Countries citing papers authored by Junwei Yang
This map shows the geographic impact of Junwei 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 Junwei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwei Yang more than expected).
Fields of papers citing papers by Junwei Yang
This network shows the impact of papers produced by Junwei 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 Junwei Yang. The network helps show where Junwei Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junwei 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Comprehensive Survey on Deep Graph Representation Learning Hit paper breakdown → | 2024 | 186 |
| 2 | 2004 | 68 | |
| 3 | 2021 | 35 | |
| 4 | 2016 | 35 | |
| 5 | 2009 | 24 | |
| 6 | 2022 | 18 | |
| 7 | 2021 | 17 | |
| 8 | 2022 | 14 | |
| 9 | 2022 | 12 | |
| 10 | 2023 | 11 | |
| 11 | 2005 | 9 | |
| 12 | 2016 | 9 | |
| 13 | 2015 | 8 | |
| 14 | 2024 | 8 | |
| 15 | 2025 | 8 | |
| 16 | 2008 | 6 | |
| 17 | 2016 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2025 | 4 |
About Junwei Yang
Junwei Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology and Signal Processing, having authored 44 papers that have together received 524 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (8 papers), Medical Imaging Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Organic Light-Emitting Diodes Research (3 papers), Organic Electronics and Photovoltaics (3 papers), Cardiac Imaging and Diagnostics (3 papers), Speech Recognition and Synthesis (3 papers) and GaN-based semiconductor devices and materials (3 papers). The work is most often cited by research in Artificial Intelligence (177 citations), Computer Vision and Pattern Recognition (101 citations), Signal Processing (47 citations), Condensed Matter Physics (33 citations) and Health Informatics (4 citations). Junwei Yang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Wei Wang, Píetro Lió, Qingqing Long, Zheng Fang, Jingyang Yuan, Fang Sun, Jianhao Shen, Ming Zhang, Ziyue Qiao and Xiao Luo. Their work appears in journals such as Journal of Semiconductors, IEEE Transactions on Medical Imaging, Energy, Structures and Microelectronics Reliability.
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.