Mingxia Fan

1.4k citations
51 papers · 1.0k · h-index 20

Impact in

    • Functional Brain Connectivity Studies
    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function
    • Neural and Behavioral Psychology Studies
  • Neurology top 5%
    • Transcranial Magnetic Stimulation Studies

Papers in

Mingxia Fan

50 papers receiving 1.0k citations

Peers

Mingxia Fan
Comparison fields: 5 of 102
  • Cognitive Neuroscience 465
  • Neurology 159
  • Rehabilitation 117
  • Radiology, Nuclear Medicine and Imaging 205
  • Experimental and Cognitive Psychology 73
Replace Dazhi Yin with:
Dazhi Yin China
Katie P. Wadden Canada
Jochen Michely Germany
Yao Sun Canada
Jizhi Ge United States
Luping Song China
Daniel L. W. Pope United States
Mitsunari Abe Japan
Shahabeddin Vahdat Canada
Masahito Mihara Japan
Mingxia Fan relative to Dazhi Yin China Dazhi Yin's profile →
Citations per field
00.5×1.5×1.9×
Dazhi Yin · 1×
Citations per year

Countries citing papers authored by Mingxia Fan

Since Specialization
Citations

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

Fields of papers citing papers by Mingxia Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mingxia Fan, 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 Mingxia Fan Line = papers co-authored together Mingxia Fan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201866
2 201262
3 201360
4 201358
5 201655
6 201645
7 201843
8 201643
9 202041
10 201941
11 201439
12 202235
13 201635
14 201334
15 201333
16 201933
17 201625
18 200923
19 201622
20 201820

About Mingxia Fan

Mingxia Fan is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (13 papers), Advanced Neuroimaging Techniques and Applications (7 papers), EEG and Brain-Computer Interfaces (7 papers), Neuroendocrine regulation and behavior (6 papers), Transcranial Magnetic Stimulation Studies (5 papers), Evolutionary Psychology and Human Behavior (4 papers), Neural and Behavioral Psychology Studies (3 papers) and Pain Management and Placebo Effect (3 papers). The work is most often cited by research in Cognitive Neuroscience (465 citations), Neurology (159 citations), Rehabilitation (117 citations), Radiology, Nuclear Medicine and Imaging (205 citations) and Experimental and Cognitive Psychology (73 citations). Mingxia Fan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Limin Sun, Dazhi Yin, Jie Jia, Dongrong Xu, Zhiyong Zhao, Weiwei Men, Xu Yan, Fan Song, Chaozheng Tang and Jie Wu. Their work appears in journals such as PLoS ONE, Frontiers in Human Neuroscience, Neuroradiology, Human Brain Mapping and Frontiers in Neurology.

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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