Xufei Tan

529 total citations
20 papers, 374 citations indexed

About

Xufei Tan is a scholar working on Epidemiology, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xufei Tan has authored 20 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 11 papers in Cognitive Neuroscience and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xufei Tan's work include Traumatic Brain Injury Research (9 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Functional Brain Connectivity Studies (6 papers). Xufei Tan is often cited by papers focused on Traumatic Brain Injury Research (9 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Functional Brain Connectivity Studies (6 papers). Xufei Tan collaborates with scholars based in China, New Zealand and Netherlands. Xufei Tan's co-authors include Shuping Li, Guoping Peng, Zhi Chen, Yiqiong Chen, Wei Wu, Benyan Luo, Yamei Yu, Xiaotong Zhang, Gang Pan and Jie Zhang and has published in prestigious journals such as Neuroscience, Scientometrics and Molecular Immunology.

In The Last Decade

Xufei Tan

18 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xufei Tan China 10 200 106 90 84 52 20 374
Diana Goode United States 9 80 0.4× 316 3.0× 58 0.6× 16 0.2× 72 1.4× 16 538
Sina Rüeger Switzerland 8 68 0.3× 59 0.6× 41 0.5× 19 0.2× 8 0.2× 12 483
Elisabeth Legrand France 11 79 0.4× 90 0.8× 22 0.2× 52 0.6× 29 0.6× 20 442
Megan Dring Ireland 8 101 0.5× 179 1.7× 60 0.7× 123 1.5× 77 1.5× 9 521
Antonella Capozza Italy 11 79 0.4× 52 0.5× 9 0.1× 30 0.4× 77 1.5× 21 358
Joga Chaganti Australia 12 85 0.4× 6 0.1× 20 0.2× 24 0.3× 21 0.4× 43 417
J Moorhead United Kingdom 6 201 1.0× 30 0.3× 56 0.6× 4 0.0× 37 0.7× 9 353
Xiaoming Chen China 10 41 0.2× 12 0.1× 26 0.3× 60 0.7× 12 0.2× 21 375
Susan D. Mellow United States 6 103 0.5× 7 0.1× 35 0.4× 17 0.2× 23 0.4× 8 377
Kathrin Mahler Walther Germany 4 170 0.8× 13 0.1× 34 0.4× 4 0.0× 27 0.5× 5 321

Countries citing papers authored by Xufei Tan

Since Specialization
Citations

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

Fields of papers citing papers by Xufei Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xufei Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Xufei Tan. A scholar is included among the top collaborators of Xufei Tan 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 Xufei Tan. Xufei Tan 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.
Zhu, Lei, et al.. (2025). Multiple class transfer learning framework with source label adaptive correction for EEG emotion recognition. Biomedical Signal Processing and Control. 104. 107536–107536. 4 indexed citations
2.
Zhu, Lei, et al.. (2025). A multi-branch, multi-scale, and multi-view CNN with lightweight temporal attention mechanism for EEG-based motor imagery decoding. Computer Methods in Biomechanics & Biomedical Engineering. 1–15.
3.
Zhu, Lei, et al.. (2024). Multi-source domain transfer network based on subdomain adaptation and minimum class confusion for EEG emotion recognition. Computer Methods in Biomechanics & Biomedical Engineering. 29(4). 908–920.
4.
Zhu, Lei, et al.. (2024). MF-Net: a multimodal fusion network for emotion recognition based on multiple physiological signals. Signal Image and Video Processing. 19(1). 3 indexed citations
5.
Tan, Xufei, Zhen Zhou, Jian Gao, et al.. (2022). White matter connectometry in patients with disorders of consciousness revealed by 7-Tesla magnetic resonance imaging. Brain Imaging and Behavior. 16(5). 1983–1991. 4 indexed citations
6.
7.
Zhang, Jie, Liang Zhou, Yamei Yu, et al.. (2021). Correlations between Dual-Pathway White Matter Alterations and Language Impairment in Patients with Aphasia: A Systematic Review and Meta-analysis. Neuropsychology Review. 31(3). 402–418. 24 indexed citations
8.
Yu, Yamei, Weihao Zheng, Xufei Tan, et al.. (2021). Microstructural profiles of thalamus and thalamocortical connectivity in patients with disorder of consciousness. Journal of Neuroscience Research. 99(12). 3261–3273. 15 indexed citations
9.
Zheng, Weihao, Xufei Tan, Tingting Liu, et al.. (2021). Individualized Thalamic Parcellation Reveals Alterations in Shape and Microstructure of Thalamic Nuclei in Patients with Disorder of Consciousness. Cerebral Cortex Communications. 2(2). tgab024–tgab024. 11 indexed citations
10.
Li, Xiaoxia, Xufei Tan, Pinyi Wang, et al.. (2020). Chronic disorders of consciousness: a case report with longitudinal evaluation of disease progression using 7 T magnetic resonance imaging. BMC Neurology. 20(1). 396–396. 3 indexed citations
11.
Yu, Yamei, Fanxia Meng, Li Zhang, et al.. (2020). A multi-domain prognostic model of disorder of consciousness using resting-state fMRI and laboratory parameters. Brain Imaging and Behavior. 15(4). 1966–1976. 19 indexed citations
12.
13.
Tan, Xufei, Zhen Zhou, Jian Gao, et al.. (2019). Structural connectome alterations in patients with disorders of consciousness revealed by 7-tesla magnetic resonance imaging. NeuroImage Clinical. 22. 101702–101702. 27 indexed citations
14.
Zhang, Li, Zhen Zhou, Kaibin Xu, et al.. (2018). Functional Connectivity of Anterior Insula Predicts Recovery of Patients With Disorders of Consciousness. Frontiers in Neurology. 9. 1024–1024. 17 indexed citations
15.
Tan, Xufei, Jian Gao, Zhen Zhou, et al.. (2018). Spontaneous Recovery from Unresponsive Wakefulness Syndrome to a Minimally Conscious State: Early Structural Changes Revealed by 7-T Magnetic Resonance Imaging. Frontiers in Neurology. 8. 741–741. 11 indexed citations
16.
Tan, Xufei, et al.. (2013). Replication of the methods section in biosciences papers: is it plagiarism?. Scientometrics. 98(1). 337–345. 9 indexed citations
17.
Tan, Xufei, Shanshan Wu, Shuping Li, Zhi Chen, & Feng Chen. (2011). Alpha-1 antitrypsin is a potential biomarker for hepatitis B. Virology Journal. 8(1). 274–274. 18 indexed citations
18.
Tan, Xufei, et al.. (2010). Proteomic analysis of differentially expressed proteins in mice with concanavalin A-induced hepatitis. Journal of Zhejiang University SCIENCE B. 11(3). 221–226. 5 indexed citations
19.
Peng, Guoping, Wen Sun, Wei Wu, et al.. (2008). [PD-L1 expression in circulating dendritic cells of patients with chronic hepatitis B].. PubMed. 37(4). 364–72. 1 indexed citations
20.
Peng, Guoping, Shuping Li, Wei Wu, et al.. (2007). PD-1 upregulation is associated with HBV-specific T cell dysfunction in chronic hepatitis B patients. Molecular Immunology. 45(4). 963–970. 188 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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