Xufei Tan

539 citations
20 papers · 384 · h-index 10

Impact in

  • Hepatology top 10%
    • Hepatitis C virus research
    • Hepatitis B Virus Studies
    • Traumatic Brain Injury Research

Papers in

Xufei Tan

19 papers receiving 381 citations

Peers

Xufei Tan
Comparison fields: 5 of 65
  • Hepatology 56
  • Epidemiology 177
  • Immunology 82
  • Cognitive Neuroscience 75
  • Health Informatics 3
Replace Sina Rüeger with:
Sina Rüeger Switzerland
Megan Dring Ireland
Brad Milner Australia
Dietmar Knop Germany
Xiaoming Chen China
Lindsey Sattler United States
Katherine M. Bryan United States
Kathrin Mahler Walther Germany
Joga Chaganti Australia
Muhip Özkan Türkiye
Xufei Tan relative to Sina Rüeger Switzerland Sina Rüeger's profile →
Citations per field
00.5×3.1×
Sina Rüeger · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Xufei Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xufei Tan Line = papers co-authored together Xufei Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2007188
2 201929
3 202126
4 202019
5 201118
6 201818
7 202115
8 202112
9 201811
10 20139
11 20198
12 20217
13 20246
14 20105
15 20254
16 20224
17 20203
18 20081
19 20241
20 20250

About Xufei Tan

Xufei Tan is a scholar working on Cognitive Neuroscience, Epidemiology, Radiology, Nuclear Medicine and Imaging, Experimental and Cognitive Psychology and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 384 indexed citations. Recurring topics across this work include Traumatic Brain Injury Research (9 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Functional Brain Connectivity Studies (5 papers), EEG and Brain-Computer Interfaces (4 papers), Emotion and Mood Recognition (3 papers), Gaze Tracking and Assistive Technology (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper) and Color perception and design (1 paper). The work is most often cited by research in Hepatology (56 citations), Epidemiology (177 citations), Immunology (82 citations), Cognitive Neuroscience (75 citations) and Health Informatics (3 citations). Xufei Tan has collaborated with scholars based in China, Thailand and Bangladesh. Frequent co-authors include Shuping Li, Guoping Peng, Wei Wu, Yiqiong Chen, Zhi Chen, Benyan Luo, Yamei Yu, Xiaotong Zhang, Jie Zhang and Zhen Zhou. Their work appears in journals such as Frontiers in Neurology, Computer Methods in Biomechanics & Biomedical Engineering, Brain Imaging and Behavior, Neuroscience and Neuropsychology Review.

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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