Yangding Li
- Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies 18
- Neural dynamics and brain function 6
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- Mental Health Research Topics 7
- Applied Psychology top 5%
- Computational Mathematics top 10%
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- Advanced Neuroimaging Techniques and Applications 8
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- Face and Expression Recognition 10
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- Smoking Behavior and Cessation 8
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- Nicotinic Acetylcholine Receptors Study 8
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- Advanced Graph Neural Networks 8
- Journals
- Brain Imaging and Behavior (10 papers)Neural Processing Letters (4 papers)Human Brain Mapping (3 papers)
- Partner nations
- ChinaAustraliaNew Zealand
In The Last Decade
Yangding Li
48 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 99
- Cognitive Neuroscience 697
- Experimental and Cognitive Psychology 304
- Applied Psychology 90
- Computational Mathematics 10
- Radiology, Nuclear Medicine and Imaging 166
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 2 | |
| 4 | 2023 | 11 | |
| 5 | 2021 | 12 | |
| 6 | 2020 | 14 | |
| 7 | 2020 | 2 | |
| 8 | 2019 | 14 | |
| 9 | 2018 | 12 | |
| 10 | 2017 | 27 | |
| 11 | 2017 | 21 | |
| 12 | 2016 | 5 | |
| 13 | 2016 | 32 | |
| 14 | 2016 | 15 | |
| 15 | 2016 | 19 | |
| 16 | 2015 | 91 | |
| 17 | 2015 | 36 | |
| 18 | 2015 | 80 | |
| 19 | 2015 | 33 | |
| 20 | 2015 | 88 |
About Yangding Li
Yangding Li is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Sensory Systems and Artificial Intelligence, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (18 papers), Face and Expression Recognition (10 papers), Smoking Behavior and Cessation (8 papers), Nicotinic Acetylcholine Receptors Study (8 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Advanced Graph Neural Networks (8 papers), Mental Health Research Topics (7 papers) and Neural dynamics and brain function (6 papers). The work is most often cited by research in Cognitive Neuroscience (697 citations), Experimental and Cognitive Psychology (304 citations), Applied Psychology (90 citations), Computational Mathematics (10 citations) and Radiology, Nuclear Medicine and Imaging (166 citations). Yangding Li has collaborated with scholars based in China, Australia and New Zealand. Frequent co-authors include Dahua Yu, Kai Yuan, Yanzhi Bi, Jie Tian, Wei Qin, Chenxi Cai, Chenwang Jin, Dan Feng, Xiaoqi Lu and Yajuan Zhang. Their work appears in journals such as Brain Imaging and Behavior, Neural Processing Letters, Human Brain Mapping, Addiction Biology and Journal of Psychiatric Research.
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.