Kaili Che
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
Papers in
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- Functional Brain Connectivity Studies 14
-
- Advanced Neuroimaging Techniques and Applications 2
- Advanced MRI Techniques and Applications 1
- Cardiac Imaging and Diagnostics 1
- Co-authors
- Ning Mao (20 shared papers)Haizhu Xie (16 shared papers)Heng Ma (10 shared papers)Meijie Liu (8 shared papers)Yuna Li (11 shared papers)Tongpeng Chu (14 shared papers)Ying–Hong Shi (14 shared papers)Feng Zhao (12 shared papers)
- Journals
- Journal of Affective Disorders (5 papers)Behavioural Brain Research (3 papers)Journal of Magnetic Resonance Imaging (3 papers)Frontiers in Psychology (2 papers)Frontiers in Endocrinology (2 papers)
- Partner nations
- China
In The Last Decade
Kaili Che
25 papers receiving 344 citations
Peers
Comparison fields: 5 of 54
- Cognitive Neuroscience 103
- Health Informatics 7
- Radiology, Nuclear Medicine and Imaging 81
- Biological Psychiatry 7
- Public Health, Environmental and Occupational Health 40
Countries citing papers authored by Kaili Che
This map shows the geographic impact of Kaili Che'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 Kaili Che with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaili Che more than expected).
Fields of papers citing papers by Kaili Che
This network shows the impact of papers produced by Kaili Che. 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 Kaili Che. The network helps show where Kaili Che may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaili Che, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 52 | |
| 2 | 2020 | 41 | |
| 3 | 2020 | 32 | |
| 4 | 2020 | 21 | |
| 5 | 2021 | 21 | |
| 6 | 2020 | 21 | |
| 7 | 2022 | 19 | |
| 8 | 2023 | 18 | |
| 9 | 2024 | 16 | |
| 10 | 2021 | 13 | |
| 11 | 2022 | 11 | |
| 12 | 2021 | 11 | |
| 13 | 2022 | 11 | |
| 14 | 2022 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2024 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2019 | 5 | |
| 20 | 2021 | 5 |
About Kaili Che
Kaili Che is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 25 papers that have together received 346 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (14 papers), Maternal Mental Health During Pregnancy and Postpartum (2 papers), Neonatal and fetal brain pathology (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Advanced MRI Techniques and Applications (1 paper), Cardiac Imaging and Diagnostics (1 paper) and Ovarian cancer diagnosis and treatment (1 paper). The work is most often cited by research in Cognitive Neuroscience (103 citations), Health Informatics (7 citations), Radiology, Nuclear Medicine and Imaging (81 citations), Biological Psychiatry (7 citations) and Public Health, Environmental and Occupational Health (40 citations). Kaili Che has collaborated with scholars based in China. Frequent co-authors include Ning Mao, Haizhu Xie, Heng Ma, Meijie Liu, Yuna Li, Tongpeng Chu, Ying–Hong Shi, Feng Zhao, Jianjun Dong and Qinglin Wang. Their work appears in journals such as Journal of Affective Disorders, Behavioural Brain Research, Journal of Magnetic Resonance Imaging, Frontiers in Psychology and Frontiers in Endocrinology.
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.