Zi Yang
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Topic Modeling
- Advanced Text Analysis Techniques
Papers in
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- Video Surveillance and Tracking Methods 5
- Advanced Neural Network Applications 4
- Advanced Vision and Imaging 4
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- Topic Modeling 2
- Co-authors
- Jie Tang (1 shared paper)Chi Wang (1 shared paper)Jimeng Sun (1 shared paper)Jie Tang (5 shared papers)Juanzi Li (3 shared papers)Keke Cai (4 shared papers)Zhong Su (4 shared papers)Li Zhang (1 shared paper)
- Journals
- Physics in Medicine and Biology (6 papers)Medical Physics (2 papers)Visual Cognition (1 paper)Neuropsychologia (1 paper)IEEE Sensors Journal (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Zi Yang
30 papers receiving 1.1k citations
Zi Yang's Hit Papers
Peers
Comparison fields: 5 of 105
- Statistical and Nonlinear Physics 600
- Artificial Intelligence 445
- Communication 94
- Information Systems 288
- Transportation 64
Countries citing papers authored by Zi Yang
This map shows the geographic impact of Zi 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 Zi Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zi Yang more than expected).
Fields of papers citing papers by Zi Yang
This network shows the impact of papers produced by Zi 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 Zi Yang. The network helps show where Zi Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zi 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Social influence analysis in large-scale networks Hit paper breakdown → | 2009 | 620 |
| 2 | 2010 | 167 | |
| 3 | 2011 | 70 | |
| 4 | 2020 | 33 | |
| 5 | 2020 | 18 | |
| 6 | 2021 | 17 | |
| 7 | 2016 | 16 | |
| 8 | 2020 | 14 | |
| 9 | 2021 | 14 | |
| 10 | 2019 | 14 | |
| 11 | 2011 | 13 | |
| 12 | 2019 | 12 | |
| 13 | 2010 | 12 | |
| 14 | 2020 | 9 | |
| 15 | 2023 | 7 | |
| 16 | 2020 | 7 | |
| 17 | 2009 | 7 | |
| 18 | 2023 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2025 | 4 |
About Zi Yang
Zi Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Statistical and Nonlinear Physics and Cognitive Neuroscience, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Complex Network Analysis Techniques (5 papers), Advanced Neural Network Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced Vision and Imaging (4 papers), Opinion Dynamics and Social Influence (4 papers), Image Processing Techniques and Applications (3 papers) and Topic Modeling (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (600 citations), Artificial Intelligence (445 citations), Communication (94 citations), Information Systems (288 citations) and Transportation (64 citations). Zi Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jie Tang, Chi Wang, Jimeng Sun, Jie Tang, Juanzi Li, Keke Cai, Zhong Su, Li Zhang, Li Zhang and Xuejun Gu. Their work appears in journals such as Physics in Medicine and Biology, Medical Physics, Visual Cognition, Neuropsychologia and IEEE Sensors Journal.
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.