Jie Shi
- Psychiatry and Mental health top 5%
- Dementia and Cognitive Impairment Research 12
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies 12
- Neurology top 5%
- Biological Psychiatry top 10%
- Computational Mathematics top 10%
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- Advanced Neuroimaging Techniques and Applications 22
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- Alzheimer's disease research and treatments 10
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- Neonatal and fetal brain pathology 7
- Fetal and Pediatric Neurological Disorders 5
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- 3D Shape Modeling and Analysis 7
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- Morphological variations and asymmetry 4
- Co-authors
- Yalin WangPaul M. ThompsonBoris A. GutmanRichard J. CaselliRoger P. WoodsRandall EspinozaShantanu H. JoshiKatherine L. Narr
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Jie Shi
60 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 124
- Psychiatry and Mental health 442
- Cognitive Neuroscience 480
- Neurology 200
- Biological Psychiatry 39
- Computational Mathematics 9
Countries citing papers authored by Jie Shi
This map shows the geographic impact of Jie Shi'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 Jie Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Shi more than expected).
Fields of papers citing papers by Jie Shi
This network shows the impact of papers produced by Jie Shi. 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 Jie Shi. The network helps show where Jie Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jie Shi, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 1 | |
| 5 | 2020 | 7 | |
| 6 | 2020 | 21 | |
| 7 | 2019 | 7 | |
| 8 | 2019 | 36 | |
| 9 | 2019 | 61 | |
| 10 | 2018 | 14 | |
| 11 | 2017 | 15 | |
| 12 | 2017 | 3 | |
| 13 | 2017 | 12 | |
| 14 | 2016 | 25 | |
| 15 | 2016 | 54 | |
| 16 | 2016 | 16 | |
| 17 | 2015 | 18 | |
| 18 | 2013 | 51 | |
| 19 | 2009 | 84 | |
| 20 | 2008 | 179 |
About Jie Shi
Jie Shi is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health, having authored 61 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (22 papers), Dementia and Cognitive Impairment Research (12 papers), Functional Brain Connectivity Studies (12 papers), Alzheimer's disease research and treatments (10 papers), Neonatal and fetal brain pathology (7 papers), 3D Shape Modeling and Analysis (7 papers), Fetal and Pediatric Neurological Disorders (5 papers) and Morphological variations and asymmetry (4 papers). The work is most often cited by research in Psychiatry and Mental health (442 citations), Cognitive Neuroscience (480 citations) and Neurology (200 citations). Jie Shi has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Yalin Wang, Paul M. Thompson, Boris A. Gutman, Richard J. Caselli, Roger P. Woods, Randall Espinoza, Shantanu H. Joshi, Katherine L. Narr, Tara Pirnia and Amber M. Leaver. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.