Liyuan Li
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- Video Surveillance and Tracking Methods 4
- Image Enhancement Techniques 3
- Image and Signal Denoising Methods 2
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies 7
- Neural dynamics and brain function 4
- Neuroscience and Music Perception 3
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- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes 4
- Multisensory perception and integration 3
- Co-authors
- Irene Yu‐Hua GuQi TianWeimin HuangZongling HeHuafu ChenYan ZhouQian CuiM.K.H. Leung
- Cited by
- Computer Vision and Pattern RecognitionCognitive NeuroscienceExperimental and Cognitive Psychology
- Journals
- Frontiers in Psychiatry (2 papers)IEEE Transactions on Geoscience and Remote Sensing (2 papers)Cerebral Cortex (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Liyuan Li
24 papers receiving 356 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 160
- Cognitive Neuroscience 144
- Experimental and Cognitive Psychology 79
- Biological Psychiatry 7
- Media Technology 24
Countries citing papers authored by Liyuan Li
This map shows the geographic impact of Liyuan 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 Liyuan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liyuan Li more than expected).
Fields of papers citing papers by Liyuan Li
This network shows the impact of papers produced by Liyuan 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 Liyuan Li. The network helps show where Liyuan Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liyuan 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 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 15 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 3 | |
| 10 | 2021 | 20 | |
| 11 | 2021 | 4 | |
| 12 | 2021 | 1 | |
| 13 | 2020 | 73 | |
| 14 | 2019 | 17 | |
| 15 | 2018 | 19 | |
| 16 | Automating the Visual Inspection of Aircraft | 2018 | 2 |
| 17 | 2017 | 1 | |
| 18 | Design of a Simple Digital Signal Transmission Performance Analyzer | 2011 | 0 |
| 19 | 2003 | 109 | |
| 20 | 2002 | 12 |
About Liyuan Li
Liyuan Li is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 27 papers that have together received 372 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (7 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers), Neural dynamics and brain function (4 papers), Video Surveillance and Tracking Methods (4 papers), Image Enhancement Techniques (3 papers), Multisensory perception and integration (3 papers), Neuroscience and Music Perception (3 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (160 citations), Cognitive Neuroscience (144 citations) and Experimental and Cognitive Psychology (79 citations). Liyuan Li has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Irene Yu‐Hua Gu, Qi Tian, Weimin Huang, Zongling He, Huafu Chen, Weimin Huang, Yan Zhou, Qian Cui, M.K.H. Leung and Xujun Duan. Their work appears in journals such as Frontiers in Psychiatry, IEEE Transactions on Geoscience and Remote Sensing, Cerebral Cortex, Optics Express and Journal of Affective Disorders.
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.