Su Lui
- Cognitive Neuroscience top 0.1%
- Functional Brain Connectivity Studies 175
- Neural dynamics and brain function 28
- Biological Psychiatry top 0.5%
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- Advanced Neuroimaging Techniques and Applications 117
- Advanced MRI Techniques and Applications 59
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- Mental Health Research Topics 32
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes 17
- Psychiatry and Mental health top 0.5%
- Schizophrenia research and treatment 34
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- Traumatic Brain Injury Research 18
Su Lui
276 papers receiving 9.5k citations
Peers
Comparison fields: 5 of 153
- Cognitive Neuroscience 6.6k
- Biological Psychiatry 554
- Radiology, Nuclear Medicine and Imaging 3.8k
- Experimental and Cognitive Psychology 1.9k
- Psychiatry and Mental health 2.2k
Countries citing papers authored by Su Lui
This map shows the geographic impact of Su Lui'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 Su Lui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Lui more than expected).
Fields of papers citing papers by Su Lui
This network shows the impact of papers produced by Su Lui. 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 Su Lui. The network helps show where Su Lui may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Su Lui, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 17 | |
| 7 | 2023 | 25 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 4 | |
| 12 | 2021 | 29 | |
| 13 | 2020 | 19 | |
| 14 | 2019 | 14 | |
| 15 | 2018 | 16 | |
| 16 | 2017 | 89 | |
| 17 | 2017 | 26 | |
| 18 | 2017 | 21 | |
| 19 | 2016 | 51 | |
| 20 | 2014 | 17 |
About Su Lui
Su Lui is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Biological Psychiatry, Psychiatry and Mental health and Experimental and Cognitive Psychology, having authored 288 papers that have together received 9.6k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (175 papers), Advanced Neuroimaging Techniques and Applications (117 papers), Advanced MRI Techniques and Applications (59 papers), Schizophrenia research and treatment (34 papers), Mental Health Research Topics (32 papers), Neural dynamics and brain function (28 papers), Traumatic Brain Injury Research (18 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (17 papers). The work is most often cited by research in Cognitive Neuroscience (6.6k citations), Biological Psychiatry (554 citations), Radiology, Nuclear Medicine and Imaging (3.8k citations), Experimental and Cognitive Psychology (1.9k citations) and Psychiatry and Mental health (2.2k citations). Su Lui has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qiyong Gong, Xiaoqi Huang, John A. Sweeney, Weihong Kuang, Graham J. Kemp, Qizhu Wu, Wenjing Zhang, Raymond C. K. Chan, Yuan Xiao and Andrea Mechelli. Their work appears in journals such as Schizophrenia Bulletin, Neuropsychopharmacology, Human Brain Mapping, Psychological Medicine and Radiology.
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.