Yining Quan
Impact in
- Media Technology top 5%
- Advanced Image Fusion Techniques
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- Image Enhancement Techniques
- Video Surveillance and Tracking Methods
- Advanced Image Processing Techniques
Papers in
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- Advanced Graph Neural Networks 6
- Anomaly Detection Techniques and Applications 5
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- Complex Network Analysis Techniques 13
- Opinion Dynamics and Social Influence 7
- Co-authors
- Qiguang Miao (30 shared papers)Jianfeng Song (12 shared papers)Yunan Li (4 shared papers)Yutao Qi (4 shared papers)Ruyi Liu (5 shared papers)Peng Gang Sun (9 shared papers)Chao Dong (1 shared paper)Wanli Ouyang (1 shared paper)
In The Last Decade
Yining Quan
33 papers receiving 389 citations
Peers
Comparison fields: 5 of 77
- Media Technology 101
- Computer Vision and Pattern Recognition 163
- Environmental Engineering 80
- Statistical and Nonlinear Physics 55
- Artificial Intelligence 95
Countries citing papers authored by Yining Quan
This map shows the geographic impact of Yining Quan'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 Yining Quan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yining Quan more than expected).
Fields of papers citing papers by Yining Quan
This network shows the impact of papers produced by Yining Quan. 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 Yining Quan. The network helps show where Yining Quan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yining Quan, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 55 | |
| 2 | 2019 | 45 | |
| 3 | 2015 | 39 | |
| 4 | 2018 | 37 | |
| 5 | 2017 | 37 | |
| 6 | 2015 | 36 | |
| 7 | 2017 | 21 | |
| 8 | 2023 | 19 | |
| 9 | 2016 | 15 | |
| 10 | 2015 | 13 | |
| 11 | 2016 | 12 | |
| 12 | 2023 | 10 | |
| 13 | 2017 | 9 | |
| 14 | 2022 | 6 | |
| 15 | 2015 | 5 | |
| 16 | 2018 | 5 | |
| 17 | 2018 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2015 | 3 | |
| 20 | 2022 | 3 |
About Yining Quan
Yining Quan is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Media Technology and Computer Networks and Communications, having authored 36 papers that have together received 399 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (13 papers), Opinion Dynamics and Social Influence (7 papers), Advanced Graph Neural Networks (6 papers), Advanced Image Fusion Techniques (5 papers), Anomaly Detection Techniques and Applications (5 papers), Video Surveillance and Tracking Methods (3 papers), Remote Sensing and Land Use (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Media Technology (101 citations), Computer Vision and Pattern Recognition (163 citations), Environmental Engineering (80 citations), Statistical and Nonlinear Physics (55 citations) and Artificial Intelligence (95 citations). Yining Quan has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Qiguang Miao, Jianfeng Song, Yunan Li, Yutao Qi, Ruyi Liu, Peng Gang Sun, Chao Dong, Wanli Ouyang, Weisheng Li and Jiachen Liu. Their work appears in journals such as Neurocomputing, Physica A Statistical Mechanics and its Applications, IEEE Transactions on Network Science and Engineering, Applied Soft Computing and International Journal of Bio-Inspired Computation.
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.