Kaili Che

455 total citations
24 papers, 280 citations indexed

About

Kaili Che is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Kaili Che has authored 24 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Cognitive Neuroscience and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Kaili Che's work include Functional Brain Connectivity Studies (16 papers), Advanced Neuroimaging Techniques and Applications (8 papers) and Advanced MRI Techniques and Applications (5 papers). Kaili Che is often cited by papers focused on Functional Brain Connectivity Studies (16 papers), Advanced Neuroimaging Techniques and Applications (8 papers) and Advanced MRI Techniques and Applications (5 papers). Kaili Che collaborates with scholars based in China. Kaili Che's 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 and has published in prestigious journals such as PLoS ONE, Biological Psychiatry and Journal of Affective Disorders.

In The Last Decade

Kaili Che

23 papers receiving 277 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kaili Che China 10 151 110 52 44 35 24 280
Tongpeng Chu China 10 112 0.7× 115 1.0× 38 0.7× 26 0.6× 33 0.9× 28 231
Arnoud J.G. Knoops Netherlands 8 153 1.0× 71 0.6× 37 0.7× 8 0.2× 9 0.3× 8 388
Edgar Mesquita Portugal 7 44 0.3× 169 1.5× 16 0.3× 6 0.1× 42 1.2× 19 338
Rebecca M. E. Steketee Netherlands 14 261 1.7× 154 1.4× 25 0.5× 13 0.3× 6 0.2× 26 552
Cece Yang China 8 47 0.3× 78 0.7× 17 0.3× 13 0.3× 21 0.6× 12 285
Xinru Chen China 10 61 0.4× 36 0.3× 9 0.2× 34 0.8× 35 1.0× 26 270
Johanna Bayer Australia 6 98 0.6× 159 1.4× 25 0.5× 7 0.2× 48 1.4× 7 284
Eunice You Canada 9 59 0.4× 49 0.4× 8 0.2× 13 0.3× 56 1.6× 31 388
Alexander Khalaf United States 8 70 0.5× 117 1.1× 17 0.3× 4 0.1× 78 2.2× 14 286

Countries citing papers authored by Kaili Che

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kaili Che

This figure shows the co-authorship network connecting the top 25 collaborators of Kaili Che. A scholar is included among the top collaborators of Kaili Che based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaili Che. Kaili Che is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chu, Tongpeng, Xiaopeng Si, Xicheng Song, et al.. (2025). Understanding structural-functional connectivity coupling in patients with major depressive disorder: A white matter perspective. Journal of Affective Disorders. 373. 219–226. 1 indexed citations
2.
Chen, Danni, Yuting Guo, Kaili Che, et al.. (2025). Gene expression profiles associated with gray matter and dynamic connectivity disruptions in major depressive disorder. Journal of Affective Disorders. 389. 119697–119697.
3.
Guo, Yuting, Tongpeng Chu, Heng Ma, et al.. (2024). Diagnosis of Major Depressive Disorder Based on Individualized Brain Functional and Structural Connectivity. Journal of Magnetic Resonance Imaging. 61(4). 1712–1725. 5 indexed citations
4.
Chu, Tongpeng, Yuting Guo, Ying‐Hong Shi, et al.. (2024). Altered intersubject functional variability of brain white‐matter in major depressive disorder and its association with gene expression profiles. Human Brain Mapping. 45(5). e26670–e26670. 5 indexed citations
5.
Chu, Tongpeng, Xiaopeng Si, Haizhu Xie, et al.. (2024). Regional Structural-Functional Connectivity Coupling in Major Depressive Disorder Is Associated With Neurotransmitter and Genetic Profiles. Biological Psychiatry. 97(3). 290–301. 4 indexed citations
6.
Che, Kaili, Heng Ma, Feng Zhao, et al.. (2023). Diagnosis of Major Depressive Disorder Using Machine Learning Based on Multisequence MRI Neuroimaging Features. Journal of Magnetic Resonance Imaging. 58(5). 1420–1430. 13 indexed citations
7.
Li, Yuna, Tongpeng Chu, Yaou Liu, et al.. (2022). Classification of major depression disorder via using minimum spanning tree of individual high-order morphological brain network. Journal of Affective Disorders. 323. 10–20. 7 indexed citations
8.
Wu, Xinxin, Ning Mao, Kaili Che, et al.. (2022). Radiomics Analysis of Computed Tomography for Prediction of Thyroid Capsule Invasion in Papillary Thyroid Carcinoma: A Multi-Classifier and Two-Center Study. Frontiers in Endocrinology. 13. 849065–849065. 6 indexed citations
9.
Zhang, Zhongsheng, Tongpeng Chu, Kaili Che, et al.. (2022). Altered dynamic amplitude of low-frequency fluctuations in patients with postpartum depression. Behavioural Brain Research. 433. 113980–113980. 9 indexed citations
10.
Chu, Tongpeng, Kaili Che, Yuna Li, et al.. (2022). Classification of Major Depressive Disorder Based on Integrated Temporal and Spatial Functional MRI Variability Features of Dynamic Brain Network. Journal of Magnetic Resonance Imaging. 58(3). 827–837. 9 indexed citations
11.
Wu, Xinxin, Jinɡjinɡ Li, Ning Mao, et al.. (2022). Extrathyroidal Extension Prediction of Papillary Thyroid Cancer With Computed Tomography Based Radiomics Nomogram: A Multicenter Study. Frontiers in Endocrinology. 13. 874396–874396. 17 indexed citations
12.
Li, Yuna, Tongpeng Chu, Kaili Che, et al.. (2021). Abnormalities of cortical structures in patients with postpartum depression: A surface-based morphometry study. Behavioural Brain Research. 410. 113340–113340. 18 indexed citations
13.
Li, Yuna, Tongpeng Chu, Kaili Che, et al.. (2021). Altered gray matter structural covariance networks in postpartum depression: a graph theoretical analysis. Journal of Affective Disorders. 293. 159–167. 12 indexed citations
14.
Chu, Tongpeng, Jian Li, Zhongsheng Zhang, et al.. (2021). Altered structural covariance of hippocampal subregions in patients with Alzheimer’s disease. Behavioural Brain Research. 409. 113327–113327. 7 indexed citations
15.
Bai, Wei, Xiao Xu, Haixia Ji, et al.. (2020). Evaluation of the anatomical variations of the coronary venous system in patients with coronary artery calcification using 256-slice computed tomography. PLoS ONE. 15(11). e0242216–e0242216. 3 indexed citations
16.
17.
Mao, Ning, Kaili Che, Haizhu Xie, et al.. (2020). Abnormal information flow in postpartum depression: A resting-state functional magnetic resonance imaging study. Journal of Affective Disorders. 277. 596–602. 18 indexed citations
18.
Che, Kaili, Ning Mao, Yuna Li, et al.. (2020). Altered Spontaneous Neural Activity in Peripartum Depression: A Resting-State Functional Magnetic Resonance Imaging Study. Frontiers in Psychology. 11. 656–656. 17 indexed citations
19.
Mao, Ning, Ping Yin, Li Qin, et al.. (2020). Radiomics nomogram of contrast-enhanced spectral mammography for prediction of axillary lymph node metastasis in breast cancer: a multicenter study. European Radiology. 30(12). 6732–6739. 50 indexed citations
20.
Mao, Ning, Kaili Che, Tongpeng Chu, et al.. (2020). Aberrant Resting-State Brain Function in Adolescent Depression. Frontiers in Psychology. 11. 1784–1784. 29 indexed citations

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.

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