Ying Han

12.1k total citations · 1 hit paper
265 papers, 6.5k citations indexed

About

Ying Han is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ying Han has authored 265 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Cognitive Neuroscience, 83 papers in Psychiatry and Mental health and 72 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ying Han's work include Functional Brain Connectivity Studies (88 papers), Dementia and Cognitive Impairment Research (79 papers) and Alzheimer's disease research and treatments (46 papers). Ying Han is often cited by papers focused on Functional Brain Connectivity Studies (88 papers), Dementia and Cognitive Impairment Research (79 papers) and Alzheimer's disease research and treatments (46 papers). Ying Han collaborates with scholars based in China, United States and Germany. Ying Han's co-authors include Jie Lu, Kuncheng Li, Yu Sun, Yong He, Frank Jessen, Zhilian Zhao, Xiaoni Wang, Jianping Jia, Michael Wagner and Xiaochen Hu and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Ying Han

248 papers receiving 6.4k citations

Hit Papers

The characterisation of subjective cognitive decline 2020 2026 2022 2024 2020 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Han China 42 2.8k 2.0k 1.4k 1.3k 993 265 6.5k
Lei Wang United States 51 3.3k 1.2× 2.6k 1.3× 2.4k 1.7× 1.5k 1.2× 1.1k 1.2× 293 8.8k
Yonggui Yuan China 41 2.9k 1.1× 1.3k 0.6× 1.3k 0.9× 892 0.7× 752 0.8× 292 6.4k
Matthias L. Schroeter Germany 58 3.1k 1.1× 2.2k 1.1× 2.2k 1.5× 1.6k 1.2× 1.3k 1.3× 220 9.5k
Beau M. Ances United States 50 3.0k 1.1× 2.0k 1.0× 2.1k 1.5× 2.2k 1.7× 1.1k 1.1× 318 10.6k
Richard Camicioli Canada 50 1.9k 0.7× 3.7k 1.8× 1.6k 1.1× 1.5k 1.2× 607 0.6× 206 9.4k
Yun Zhou United States 43 1.5k 0.5× 1.9k 0.9× 2.2k 1.5× 1.8k 1.4× 814 0.8× 170 7.4k
Gwenn S. Smith United States 46 2.1k 0.8× 2.0k 1.0× 1.1k 0.8× 1.3k 1.0× 776 0.8× 131 7.6k
James H. Cole United Kingdom 40 2.3k 0.8× 1.2k 0.6× 1.4k 1.0× 596 0.5× 894 0.9× 159 6.4k
Konstantinos Arfanakis United States 39 3.4k 1.2× 1.4k 0.7× 3.4k 2.4× 1.1k 0.9× 509 0.5× 160 7.9k
Juan Zhou Singapore 42 5.3k 1.9× 2.4k 1.2× 2.5k 1.8× 1.4k 1.1× 622 0.6× 197 8.4k

Countries citing papers authored by Ying Han

Since Specialization
Citations

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

Fields of papers citing papers by Ying Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Han

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Han. A scholar is included among the top collaborators of Ying Han 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 Ying Han. Ying Han 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.
Zhang, Mingkai, Jie Yang, Ruixian Li, et al.. (2025). Amyloid pathology related to aberrant structure-function coupling of brain networks in Alzheimer’s disease: insights from [18F]-florbetapir PET imaging. European Journal of Nuclear Medicine and Molecular Imaging. 52(8). 2929–2940. 4 indexed citations
2.
Wang, Yongzhuang, Ying Han, Long Yang, et al.. (2025). Low Molecular Weight Organic Acids Promote Uptake of Cadmium by Maize (Zea mays L.) in Cadmium-Contaminated Acidic Soils. Journal of soil science and plant nutrition. 25(3). 5690–5703. 2 indexed citations
3.
Zhang, Yifan, Yalin Zhang, Shi Qiu, et al.. (2025). Label-free microfiber biosensor for ultrahigh sensitivity detection of TNF-α protein. Optics Express. 33(4). 7546–7546. 1 indexed citations
4.
Cheng, Yuxin, Yingjun Xie, Mingkai Zhang, et al.. (2025). Multimodal integration of plasma biomarkers, MRI, and genetic risk to predict cerebral amyloid burden in Alzheimer’s disease. NeuroImage. 322. 121550–121550.
5.
Kang, Xiaopeng, Jiaji Lin, Kun Zhao, et al.. (2025). Structural MRI–based Computer-aided Diagnosis Models for Alzheimer Disease: Insights into Misclassifications and Diagnostic Limitations. Radiology Artificial Intelligence. 7(6). e240508–e240508.
6.
Han, Ying, Xinyue Xu, Yinghui Peng, et al.. (2025). CircFLNB upregulated by chemotherapy via alternative splicing suppresses the progression of colorectal cancer. Cancer Letters. 631. 217932–217932. 1 indexed citations
7.
Duan, Yunyun, Kun Zhao, Dawei Wang, et al.. (2025). Network Topography Alterations in Alzheimer's Disease: Insights From Motif Changes via Multisite Datasets (N = 3262). CNS Neuroscience & Therapeutics. 31(6). e70428–e70428.
8.
Li, Anqi, Mingkai Zhang, Pan Sun, et al.. (2024). [18F]-D3FSP β-amyloid PET imaging in older adults and alzheimer’s disease. European Journal of Nuclear Medicine and Molecular Imaging. 51(13). 3990–4000. 3 indexed citations
9.
An, Xingwei, et al.. (2024). A Novel Method to Identify Mild Cognitive Impairment Using Dynamic Spatio-Temporal Graph Neural Network. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 3328–3337. 1 indexed citations
10.
Zhang, Mingkai, Weijie Huang, Tengfei Guo, et al.. (2024). Relationship between topological efficiency of white matter structural connectome and plasma biomarkers across the Alzheimer's disease continuum. Human Brain Mapping. 45(1). e26566–e26566. 6 indexed citations
11.
Du, Wenying, et al.. (2024). APOEε4 Carriers Exhibit Objective Cognitive Deficits: A Cross-Sectional Study in a Single Center Trial. Brain Sciences. 14(3). 281–281. 2 indexed citations
12.
13.
Li, Qiongling, et al.. (2023). Functional gradients reveal altered functional segregation in patients with amnestic mild cognitive impairment and Alzheimer’s disease. Cerebral Cortex. 33(21). 10836–10847. 9 indexed citations
14.
Li, Lin, Yu Sun, Xiaoqi Wang, et al.. (2021). Resilience to Plasma and Cerebrospinal Fluid Amyloid-β in Cognitively Normal Individuals: Findings From Two Cohort Studies. Frontiers in Aging Neuroscience. 13. 610755–610755. 4 indexed citations
15.
Ren, Jianxun, Ting Xu, Danhong Wang, et al.. (2020). Individual Variability in Functional Organization of the Human and Monkey Auditory Cortex. Cerebral Cortex. 31(5). 2450–2465. 24 indexed citations
16.
Li, Yuxia, Can Sheng, Guanqun Chen, et al.. (2020). Relationship between Urinary Alzheimer-Associated Neuronal Thread Protein and Apolipoprotein Epsilon 4 Allele in the Cognitively Normal Population. Neural Plasticity. 2020. 1–10. 6 indexed citations
17.
Sheng, Can, Kun Yang, Xiaoni Wang, et al.. (2020). Advances in Non-Pharmacological Interventions for Subjective Cognitive Decline: A Systematic Review and Meta-Analysis. Journal of Alzheimer s Disease. 77(2). 903–920. 18 indexed citations
18.
Li, Taoran, Yue Wu, Hua Lin, et al.. (2020). Radiomics Analysis of Magnetic Resonance Imaging Facilitates the Identification of Preclinical Alzheimer’s Disease: An Exploratory Study. Frontiers in Cell and Developmental Biology. 8. 605734–605734. 31 indexed citations
20.
Yin, Changhao, Longfei Jia, Jinhui Wang, et al.. (2014). Early morphological brain abnormalities in patients with amnestic mild cognitive impairment. Translational Neuroscience. 5(4). 12 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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