Kun Zhao

1.3k total citations
47 papers, 586 citations indexed

About

Kun Zhao is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Kun Zhao has authored 47 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 19 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Psychiatry and Mental health. Recurrent topics in Kun Zhao's work include Functional Brain Connectivity Studies (19 papers), Dementia and Cognitive Impairment Research (11 papers) and Advanced Neuroimaging Techniques and Applications (11 papers). Kun Zhao is often cited by papers focused on Functional Brain Connectivity Studies (19 papers), Dementia and Cognitive Impairment Research (11 papers) and Advanced Neuroimaging Techniques and Applications (11 papers). Kun Zhao collaborates with scholars based in China, United States and Germany. Kun Zhao's co-authors include Yong Liu, Yanhui Ding, Shuyu Li, Tongtong Che, Honghao Gao, Lilan Liu, Qiongling Li, Bing Liu, Hongwei Yang and Yuqing Li and has published in prestigious journals such as Scientific Reports, Biological Psychiatry and Brain Research.

In The Last Decade

Kun Zhao

37 papers receiving 578 citations

Peers

Countries citing papers authored by Kun Zhao

Since Specialization

Citations

This map shows the geographic impact of Kun Zhao'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 Kun Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Zhao more than expected).

Fields of papers citing papers by Kun Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun Zhao. 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 Kun Zhao. The network helps show where Kun Zhao may publish in the future.

Co-authorship network of co-authors of Kun Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Zhao. A scholar is included among the top collaborators of Kun Zhao 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 Kun Zhao. Kun Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Enhanced therapeutic efficacy of Eupolyphaga sinensis Walker in females through sex-specific metabolomic-pharmacodynamic divergence 2025 ·Scientific Reports ·Chenghao Fei, (unknown), (unknown), (unknown), Long‐Sheng Lu, Kun Zhao, Hong-Zhuan Shi	0
2	Structural MRI–based Computer-aided Diagnosis Models for Alzheimer Disease: Insights into Misclassifications and Diagnostic Limitations 2025 ·Radiology Artificial Intelligence ·Xiaopeng Kang, Jiaji Lin, Kun Zhao, Shaozhen Yan, Pindong Chen, Dawei Wang, Hongxiang Yao, (unknown), Chunshui Yu, (unknown), Zhengluan Liao, Yan Chen, (unknown), Ying Han, (unknown), Yong Liu, (unknown)	0
3	Network Topography Alterations in Alzheimer's Disease: Insights From Motif Changes via Multisite Datasets (N = 3262) 2025 ·CNS Neuroscience & Therapeutics ·(unknown), Yunyun Duan, Kun Zhao, (unknown), Dawei Wang, Hongxiang Yao, Bo Zhou, Jie Lu, Pan Wang, (unknown), Xi Zhang, Ying Han, Yong Liu, Zhengluan Liao	0
4	Brain topology alteration in Alzheimer’s disease brain networks: A multi-center study 2025 ·NeuroImage Clinical ·(unknown), Pan Wang, Dawei Wang, Hongxiang Yao, Bo Zhou, (unknown), Zhengluan Liao, (unknown), Xi Zhang, Ying Han, Jie Lu, Kun Zhao, Yihe Zhang, Yong Liu	0
5	How brain structure–function decoupling supports individual cognition and its molecular mechanism 2024 ·Human Brain Mapping ·Xiaoxi Dong, Qiongling Li, Xuetong Wang, (unknown), (unknown), Lei Chu, Kun Zhao, Shuyu Li	6
6	A Generative Elastic Network Method for R Peak Detection Suitable for Few-Shot Learning 2024 ·IEEE Access ·(unknown), Kun Zhao, (unknown), (unknown)	0
7	Macroscale Gradient Dysfunction in Alzheimer's Disease: Patterns With Cognition Terms and Gene Expression Profiles 2024 ·Human Brain Mapping ·Dawei Wang, Zhuangzhuang Li, Kun Zhao, Pindong Chen, Fan Yang, Hongxiang Yao, Bo Zhou, Yongbin Wei, Jie Lu, Yuqi Chen, Xi Zhang, Ying Han, Pan Wang, Yong Liu	3
8	Macroscale Brain Structural Network Coupling is Related to AD Progression 2024 ·(unknown), Pindong Chen, Yong Liu, Kun Zhao	0
9	Morphological connectivity differences in Alzheimer's disease correlate with gene transcription and cell‐type 2023 ·Human Brain Mapping ·(unknown), Yanhui Ding, Yongbin Wei, Martin Dyrba, Dong Wang, Xiaopeng Kang, (unknown), Kun Zhao, Yong Liu, (unknown)	13
10	Robustly uncovering the heterogeneity of neurodegenerative disease by using data-driven subtyping in neuroimaging: A review 2023 ·Brain Research ·Pindong Chen, (unknown), Kun Zhao, Xiaopeng Kang, Timothy Rittman, Yong Liu	6
11	A systematic analysis of diagnostic performance for Alzheimer's disease using structural MRI 2022 ·PubMed ·Jiangping Wu, Kun Zhao, Zhuangzhuang Li, (unknown), Yanhui Ding, Yongbin Wei, Han Zhang, Yong Liu	5
12	Impaired time-distance reconfiguration patterns in Alzheimer's disease: a dynamic functional connectivity study with 809 individuals from 7 sites 2022 ·BMC Bioinformatics ·(unknown), Pindong Chen, Kun Zhao, (unknown), Xiaopeng Kang, Yong Liu, Xi Zhang, Yuying Zhou, Ying Han, Qing Wang	2
13	Regional radiomics similarity networks (R2SNs) in the human brain: Reproducibility, small-world properties and a biological basis 2021 ·Network Neuroscience ·Kun Zhao, Qiang Zheng, Tongtong Che, Martin Dyrba, Qiongling Li, Yanhui Ding, Yuanjie Zheng, Yong Liu, Shuyu Li	40
14	Quantitative Radiomic Features as New Biomarkers for Alzheimer’s Disease: An Amyloid PET Study 2021 ·Cerebral Cortex ·Yanhui Ding, Kun Zhao, Tongtong Che, Kai Du, Hongzan Sun, Shu Liu, Yuanjie Zheng, Shuyu Li, Bing Liu, Yong Liu, (unknown)	23
15	Abnormal Cerebral Blood Flow and Functional Connectivity Strength in Subjects With White Matter Hyperintensities 2021 ·Frontiers in Neurology ·Hao Huang, Kun Zhao, Wenzhen Zhu, Hui Li, (unknown), (unknown)	17
16	MRU-NET: A U-Shaped Network for Retinal Vessel Segmentation 2020 ·Applied Sciences ·Hongwei Ding, Xiaohui Cui, (unknown), Kun Zhao	13
17	Episodic Memory–Related Imaging Features as Valuable Biomarkers for the Diagnosis of Alzheimer’s Disease: A Multicenter Study Based on Machine Learning 2020 ·Biological Psychiatry Cognitive Neuroscience and Neuroimaging ·Yachen Shi, Zan Wang, Pindong Chen, (unknown), Kun Zhao, Hong‐Xing Zhang, Hao Shu, Lihua Gu, Lijuan Gao, Qīng Wáng, Haisan Zhang, Chunming Xie, Yong Liu, Zhijun Zhang	16
18	Study of altered functional connectivity in individuals at risk for Alzheimer’s Disease 2018 ·Technology and Health Care ·Yongxin Zhang, Xiyu Liu, Kun Zhao, Lin Li, Yanhui Ding	10
19	Early classification of Alzheimer's disease using hippocampal texture from structural MRI 2017 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Kun Zhao, Yanhui Ding, Pan Wang, (unknown), Bo Zhou, Hongxiang Yao, Ningyu An, Yongxin Zhang, Xi Zhang, Yong Liu	4
20	Preliminary Results from the Field Experiment of OPACC 2015 ·EGU General Assembly Conference Abstracts ·Kun Zhao, (unknown)	1

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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