Dandan Fan

506 total citations
27 papers, 315 citations indexed

About

Dandan Fan is a scholar working on Cognitive Neuroscience, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dandan Fan has authored 27 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 9 papers in Signal Processing and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dandan Fan's work include Functional Brain Connectivity Studies (12 papers), Biometric Identification and Security (8 papers) and Child Abuse and Trauma (6 papers). Dandan Fan is often cited by papers focused on Functional Brain Connectivity Studies (12 papers), Biometric Identification and Security (8 papers) and Child Abuse and Trauma (6 papers). Dandan Fan collaborates with scholars based in China, Macao and Australia. Dandan Fan's co-authors include Chunming Xie, Zhijun Zhang, Cancan He, David Zhang, Haisan Zhang, Xinyi Liu, Hongxing Zhang, Xu Liang, Guangming Lu and Wei Jia and has published in prestigious journals such as Nature Communications, NeuroImage and IEEE Transactions on Image Processing.

In The Last Decade

Dandan Fan

24 papers receiving 312 citations

Peers

Dandan Fan
Andrew Michael United States
Yan Tang China
Eduardo Castro United States
Dandan Fan
Citations per year, relative to Dandan Fan Dandan Fan (= 1×) peers Jianping Qiao

Countries citing papers authored by Dandan Fan

Since Specialization
Citations

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

Fields of papers citing papers by Dandan Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dandan Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Dandan Fan. A scholar is included among the top collaborators of Dandan Fan 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 Dandan Fan. Dandan Fan 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.
Fan, Dandan, et al.. (2025). Smart touchless palm sensing via palm adjustment and dynamic registration. Nature Communications. 16(1). 2912–2912. 1 indexed citations
2.
Fan, Dandan, Cancan He, Xinyi Liu, et al.. (2025). Neural effect of childhood maltreatment on neurovascular coupling in adolescent depression. European Child & Adolescent Psychiatry. 34(9). 2859–2870.
3.
Fan, Dandan, Cancan He, Xinyi Liu, et al.. (2025). Altered neurovascular coupling in depression with childhood maltreatment. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 138. 111348–111348.
4.
He, Cancan, Qing Wang, Dandan Fan, et al.. (2024). MicroRNA-124 influenced depressive symptoms via large-scale brain connectivity in major depressive disorder patients. Asian Journal of Psychiatry. 95. 104025–104025. 5 indexed citations
5.
Fan, Dandan, Xu Liang, Wei Jia, & David Zhang. (2024). Toward Large-Scale Palmprint Image Analysis by a Rich Orientation Code. IEEE Transactions on Systems Man and Cybernetics Systems. 54(7). 4113–4125. 3 indexed citations
6.
Liu, Xinyi, et al.. (2024). Dynamic functional network connectivity and its association with lipid metabolism in Alzheimer's disease. CNS Neuroscience & Therapeutics. 30(9). e70029–e70029. 3 indexed citations
7.
Wáng, Qīng, Cancan He, Dandan Fan, et al.. (2024). Occipital connectivity networks mediate the neural effects of childhood maltreatment on depressive symptoms in major depressive disorder. Asian Journal of Psychiatry. 97. 104093–104093. 3 indexed citations
8.
Liang, Xu, et al.. (2024). HGAIQA: A Novel Hand-Geometry-Aware Image Quality Assessment Framework for Contactless Palmprint Recognition. IEEE Transactions on Instrumentation and Measurement. 73. 1–13.
9.
Fan, Dandan, Cancan He, Xinyi Liu, et al.. (2023). Resting‐state cerebral blood flow and functional connectivity abnormalities in depressed patients with childhood maltreatment: Potential biomarkers of vulnerability?. Psychiatry and Clinical Neurosciences. 78(1). 41–50. 4 indexed citations
10.
Fan, Dandan, et al.. (2023). AMGNet: Aligned Multilevel Gabor Convolution Network for Palmprint Recognition. IEEE Transactions on Circuits and Systems for Video Technology. 34(6). 4175–4189. 6 indexed citations
11.
Fan, Dandan, et al.. (2022). Collateral circulation detected by arterial spin labeling predicts outcome in acute ischemic stroke. Acta Neurologica Scandinavica. 146(5). 635–642. 5 indexed citations
12.
He, Cancan, Dandan Fan, Xinyi Liu, et al.. (2022). Insula network connectivity mediates the association between childhood maltreatment and depressive symptoms in major depressive disorder patients. Translational Psychiatry. 12(1). 89–89. 24 indexed citations
13.
Fan, Dandan, Cancan He, Xinyi Liu, et al.. (2022). Altered resting-state cerebral blood flow and functional connectivity mediate suicidal ideation in major depressive disorder. Journal of Cerebral Blood Flow & Metabolism. 42(9). 1603–1615. 14 indexed citations
14.
Wang, Qing, Dandan Fan, Xinyi Liu, et al.. (2022). Neural effects of childhood maltreatment on dynamic large-scale brain networks in major depressive disorder. Psychiatry Research. 317. 114870–114870. 5 indexed citations
15.
Zhang, Qianqian, Qing Wang, Cancan He, et al.. (2021). Altered Regional Cerebral Blood Flow and Brain Function Across the Alzheimer's Disease Spectrum: A Potential Biomarker. Frontiers in Aging Neuroscience. 13. 630382–630382. 36 indexed citations
16.
Liu, Xinyi, Cancan He, Dandan Fan, et al.. (2021). Alterations of core structural network connectome associated with suicidal ideation in major depressive disorder patients. Translational Psychiatry. 11(1). 243–243. 25 indexed citations
17.
Shi, Yachen, Linhai Zhang, Cancan He, et al.. (2021). Sleep disturbance-related neuroimaging features as potential biomarkers for the diagnosis of major depressive disorder: A multicenter study based on machine learning. Journal of Affective Disorders. 295. 148–155. 19 indexed citations
18.
He, Cancan, Ying Bai, Zan Wang, et al.. (2020). Identification of microRNA-9 linking the effects of childhood maltreatment on depression using amygdala connectivity. NeuroImage. 224. 117428–117428. 39 indexed citations
19.
Liu, Xinyi, Cancan He, Dandan Fan, et al.. (2020). Disrupted rich-club network organization and individualized identification of patients with major depressive disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 108. 110074–110074. 30 indexed citations
20.
Zhang, Yanqin, et al.. (2016). SVR based voice traffic prediction incorporating impact from neighboring cells. Wireless Personal Multimedia Communications. 142–146. 1 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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