Shenglin She
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Neuroscience and Music Perception
- Neural and Behavioral Psychology Studies
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- Mental Health Research Topics
Papers in
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- Functional Brain Connectivity Studies 19
- Neuroscience and Music Perception 12
- Neural dynamics and brain function 8
- Hearing Loss and Rehabilitation 6
- Face Recognition and Perception 5
- Co-authors
- Yingjun ZhengHongjun PengYuping NingHuawang WuChao WuHaijing LiJiaojian WangBei Zhang
- Journals
- Neuroscience (3 papers)BMC Psychiatry (3 papers)Frontiers in Psychiatry (2 papers)Journal of Affective Disorders (2 papers)Frontiers in Neuroscience (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Shenglin She
33 papers receiving 343 citations
Peers
Comparison fields: 5 of 64
- Cognitive Neuroscience 239
- Experimental and Cognitive Psychology 89
- Psychiatry and Mental health 71
- Biological Psychiatry 9
- Radiology, Nuclear Medicine and Imaging 82
Countries citing papers authored by Shenglin She
This map shows the geographic impact of Shenglin She'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 Shenglin She with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shenglin She more than expected).
Fields of papers citing papers by Shenglin She
This network shows the impact of papers produced by Shenglin She. 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 Shenglin She. The network helps show where Shenglin She may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shenglin She, 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 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 4 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 1 | |
| 14 | 2019 | 5 | |
| 15 | 2018 | 9 | |
| 16 | 2018 | 6 | |
| 17 | 2018 | 38 | |
| 18 | 2017 | 12 | |
| 19 | 2017 | 5 | |
| 20 | 2016 | 15 |
About Shenglin She
Shenglin She is a scholar working on Computational Mathematics, Cognitive Neuroscience, Psychiatry and Mental health, Experimental and Cognitive Psychology and Sensory Systems, having authored 38 papers that have together received 345 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (19 papers), Neuroscience and Music Perception (12 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Neural dynamics and brain function (8 papers), Schizophrenia research and treatment (8 papers), Hearing Loss and Rehabilitation (6 papers), Face Recognition and Perception (5 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers). The work is most often cited by research in Cognitive Neuroscience (239 citations), Experimental and Cognitive Psychology (89 citations), Psychiatry and Mental health (71 citations), Biological Psychiatry (9 citations) and Radiology, Nuclear Medicine and Imaging (82 citations). Shenglin She has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yingjun Zheng, Hongjun Peng, Yuping Ning, Huawang Wu, Chao Wu, Haijing Li, Jiaojian Wang, Bei Zhang, Haibo Wu and Jingping Zhao. Their work appears in journals such as Neuroscience, BMC Psychiatry, Frontiers in Psychiatry, Journal of Affective Disorders and Frontiers in Neuroscience.
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.