Xiaohong Wan

1.1k citations
31 papers · 749 · h-index 17

Impact in

Papers in

Xiaohong Wan

29 papers receiving 732 citations

Peers

Xiaohong Wan
Comparison fields: 5 of 116
  • Cognitive Neuroscience 454
  • General Decision Sciences 12
  • Radiology, Nuclear Medicine and Imaging 144
  • Signal Processing 49
  • Experimental and Cognitive Psychology 57
Replace J.M. Segall with:
J.M. Segall United States
Toralf Mildner Germany
Moti Salti Israel
Daniel L. Weber Germany
Andreas Schulz Germany
Junichi Takahashi Japan
Jonathan D. Cohen United States
Richard Murray Canada
Chien‐Te Wu Taiwan
Julien Sein France
Xiaohong Wan relative to J.M. Segall United States J.M. Segall's profile →
Citations per field
00.5×
J.M. Segall · 1×
Citations per year

Countries citing papers authored by Xiaohong Wan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohong Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201194
2 201879
3 200658
4 200654
5 200646
6 200246
7 200246
8 200540
9 200634
10 201729
11 201227
12 200225
13 200622
14 201220
15 201920
16 201619
17 201519
18 202213
19 201011
20 201610

About Xiaohong Wan

Xiaohong Wan is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Social Psychology and Atomic and Molecular Physics, and Optics, having authored 31 papers that have together received 749 indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), Neural and Behavioral Psychology Studies (8 papers), Functional Brain Connectivity Studies (8 papers), Advanced MRI Techniques and Applications (4 papers), Memory and Neural Mechanisms (3 papers), Cognitive Science and Mapping (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Blind Source Separation Techniques (3 papers). The work is most often cited by research in Cognitive Neuroscience (454 citations), General Decision Sciences (12 citations), Radiology, Nuclear Medicine and Imaging (144 citations), Signal Processing (49 citations) and Experimental and Cognitive Psychology (57 citations). Xiaohong Wan has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Jorge Riera, Keiji Tanaka, Kang Cheng, Ryuta Kawashima, Juan Carlos Jiménez, Seiichi Takami, Akira Miyamoto, Kenichi Ueno, Momoji Kubo and Ryuta Kawashima. Their work appears in journals such as Human Brain Mapping, Clinical Neurophysiology, Journal of Neuroscience, PLoS Biology and Applied Surface Science.

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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