Kaili Che
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Advanced Neuroimaging Techniques and Applications
- Medical Imaging Techniques and Applications
Papers in
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- Advanced Neuroimaging Techniques and Applications 8
- Advanced MRI Techniques and Applications 5
- Radiomics and Machine Learning in Medical Imaging 4
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- Functional Brain Connectivity Studies 16
- 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)Qinglin Wang (4 shared papers)
- Journals
- Journal of Affective Disorders (5 papers)Behavioural Brain Research (3 papers)Journal of Magnetic Resonance Imaging (3 papers)Frontiers in Endocrinology (2 papers)Frontiers in Psychology (2 papers)
- Partner nations
- China
In The Last Decade
Kaili Che
23 papers receiving 277 citations
Peers
Comparison fields: 5 of 61
- Radiology, Nuclear Medicine and Imaging 151
- Biological Psychiatry 15
- Health Informatics 8
- Cognitive Neuroscience 110
- Experimental and Cognitive Psychology 35
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 50 | |
| 2 | 2020 | 38 | |
| 3 | 2020 | 29 | |
| 4 | 2021 | 18 | |
| 5 | 2020 | 18 | |
| 6 | 2020 | 17 | |
| 7 | 2022 | 17 | |
| 8 | 2023 | 13 | |
| 9 | 2021 | 12 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2019 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 2020 | 3 |
About Kaili Che
Kaili Che is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Public Health, Environmental and Occupational Health, Experimental and Cognitive Psychology and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 280 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (16 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Advanced MRI Techniques and Applications (5 papers), Mental Health Research Topics (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Maternal Mental Health During Pregnancy and Postpartum (4 papers), Advanced X-ray and CT Imaging (3 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (151 citations), Biological Psychiatry (15 citations), Health Informatics (8 citations), Cognitive Neuroscience (110 citations) and Experimental and Cognitive Psychology (35 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, Qinglin Wang, Jianjun Dong and Feng Zhao. Their work appears in journals such as Journal of Affective Disorders, Behavioural Brain Research, Journal of Magnetic Resonance Imaging, Frontiers in Endocrinology and Frontiers in Psychology.
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.