Yiding Yang
Impact in
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- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Advanced Vision and Imaging
- Modeling and Simulation top 5%
Papers in
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- Advanced Neural Network Applications 4
- Graph Theory and Algorithms 4
- Multimodal Machine Learning Applications 2
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- Advanced Graph Neural Networks 5
- Co-authors
- Xinchao Wang (10 shared papers)Mingli Song (6 shared papers)Dacheng Tao (5 shared papers)Jiayan Qiu (2 shared papers)Yongcheng Jing (4 shared papers)Zhilan Feng (2 shared papers)Sherry Towers (1 shared paper)Dacheng Tao (2 shared papers)
- Journals
- IEEE Geoscience and Remote Sensing Letters (2 papers)Journal of Theoretical Biology (1 paper)The AAPS Journal (1 paper)Land (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yiding Yang
19 papers receiving 619 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 365
- Modeling and Simulation 57
- Artificial Intelligence 274
- Media Technology 46
- Computational Mathematics 2
Countries citing papers authored by Yiding Yang
This map shows the geographic impact of Yiding 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 Yiding Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiding Yang more than expected).
Fields of papers citing papers by Yiding Yang
This network shows the impact of papers produced by Yiding 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 Yiding Yang. The network helps show where Yiding Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiding 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 144 | |
| 2 | 2021 | 65 | |
| 3 | 2011 | 54 | |
| 4 | 2021 | 54 | |
| 5 | 2021 | 51 | |
| 6 | 2019 | 40 | |
| 7 | 2017 | 40 | |
| 8 | 2021 | 32 | |
| 9 | 2020 | 29 | |
| 10 | 2021 | 26 | |
| 11 | 2009 | 20 | |
| 12 | 2021 | 16 | |
| 13 | 2023 | 16 | |
| 14 | Factorizable Graph Convolutional Networks | 2020 | 12 |
| 15 | 2014 | 10 | |
| 16 | 2017 | 9 | |
| 17 | 2024 | 3 | |
| 18 | 2014 | 3 | |
| 19 | 2014 | 1 | |
| 20 | 2014 | 0 |
About Yiding Yang
Yiding Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cardiology and Cardiovascular Medicine, Statistical and Nonlinear Physics and Cognitive Neuroscience, having authored 20 papers that have together received 625 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (5 papers), Advanced Neural Network Applications (4 papers), Graph Theory and Algorithms (4 papers), Multimodal Machine Learning Applications (2 papers), Complex Network Analysis Techniques (2 papers), EEG and Brain-Computer Interfaces (2 papers), Heart Rate Variability and Autonomic Control (2 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (365 citations), Modeling and Simulation (57 citations), Artificial Intelligence (274 citations), Media Technology (46 citations) and Computational Mathematics (2 citations). Yiding Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xinchao Wang, Mingli Song, Dacheng Tao, Jiayan Qiu, Yongcheng Jing, Zhilan Feng, Sherry Towers, Dacheng Tao, Huihui Liu and Hao Shi. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, Journal of Theoretical Biology, The AAPS Journal, Land and Proceedings of the AAAI Conference on Artificial Intelligence.
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.