Yangding Li
Impact in
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
- Physiology top 10%
- Smoking Behavior and Cessation
Papers in
-
- Functional Brain Connectivity Studies 17
-
- Advanced Graph Neural Networks 7
- Advanced Clustering Algorithms Research 4
- Text and Document Classification Technologies 4
- Co-authors
- Kai Yuan (28 shared papers)Dahua Yu (27 shared papers)Yanzhi Bi (23 shared papers)Jie Tian (16 shared papers)Wei Qin (11 shared papers)Chenwang Jin (7 shared papers)Xiaoqi Lu (12 shared papers)Yajuan Zhang (7 shared papers)
- Journals
- Brain Imaging and Behavior (10 papers)Neural Processing Letters (4 papers)IEEE Transactions on Fuzzy Systems (3 papers)Human Brain Mapping (3 papers)World Wide Web (2 papers)
- Partner nations
- ChinaNew ZealandUnited States
In The Last Decade
Yangding Li
56 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 70
- Cognitive Neuroscience 520
- Physiology 284
- Clinical Psychology 124
- Sociology and Political Science 287
- Neurology 35
Countries citing papers authored by Yangding Li
This map shows the geographic impact of Yangding Li'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 Yangding Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yangding Li more than expected).
Fields of papers citing papers by Yangding Li
This network shows the impact of papers produced by Yangding Li. 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 Yangding Li. The network helps show where Yangding Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yangding Li, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 136 | |
| 2 | 2015 | 100 | |
| 3 | 2015 | 94 | |
| 4 | 2016 | 93 | |
| 5 | 2015 | 84 | |
| 6 | 2016 | 76 | |
| 7 | 2017 | 64 | |
| 8 | 2022 | 53 | |
| 9 | 2018 | 52 | |
| 10 | 2014 | 51 | |
| 11 | 2015 | 41 | |
| 12 | 2015 | 33 | |
| 13 | 2016 | 33 | |
| 14 | 2017 | 31 | |
| 15 | 2024 | 29 | |
| 16 | 2015 | 25 | |
| 17 | 2021 | 23 | |
| 18 | 2017 | 22 | |
| 19 | 2017 | 22 | |
| 20 | 2017 | 22 |
About Yangding Li
Yangding Li is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Physiology, Computer Vision and Pattern Recognition and Information Systems, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (17 papers), Smoking Behavior and Cessation (13 papers), Advanced Graph Neural Networks (7 papers), Face and Expression Recognition (6 papers), Advanced Clustering Algorithms Research (4 papers), Impact of Technology on Adolescents (4 papers), Text and Document Classification Technologies (4 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). The work is most often cited by research in Cognitive Neuroscience (520 citations), Physiology (284 citations), Clinical Psychology (124 citations), Sociology and Political Science (287 citations) and Neurology (35 citations). Yangding Li has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Kai Yuan, Dahua Yu, Yanzhi Bi, Jie Tian, Wei Qin, Chenwang Jin, Xiaoqi Lu, Yajuan Zhang, Jixin Liu and Jiaye Li. Their work appears in journals such as Brain Imaging and Behavior, Neural Processing Letters, IEEE Transactions on Fuzzy Systems, Human Brain Mapping and World Wide Web.
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.