Xiaohong Wan

1.1k citations
31 papers · 769 · h-index 17

Impact in

Papers in

    • Neural and Behavioral Psychology Studies 9
    • Neural dynamics and brain function 9
    • Functional Brain Connectivity Studies 7
    • Memory and Neural Mechanisms 3
    • Cognitive Science and Mapping 3

Xiaohong Wan

29 papers receiving 752 citations

Peers

Xiaohong Wan
Comparison fields: 5 of 113
  • Cognitive Neuroscience 434
  • General Decision Sciences 12
  • Radiology, Nuclear Medicine and Imaging 130
  • Experimental and Cognitive Psychology 56
  • Signal Processing 46
Replace J.M. Segall with:
J.M. Segall United States
Toralf Mildner Germany
Moti Salti Israel
Daniel L. Weber Germany
Jonathan D. Cohen United States
Andreas Schulz Germany
Jyh-Horng Chen Taiwan
Julien Sein France
Junichi Takahashi Japan
Richard Murray Canada
Xiaohong Wan relative to J.M. Segall United States J.M. Segall's profile →
Citations per field
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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 201196
2 201883
3 200658
4 200654
5 200247
6 200646
7 200246
8 200540
9 200634
10 201730
11 201228
12 200225
13 200622
14 201920
15 201220
16 201520
17 201619
18 202215
19 202312
20 201611

About Xiaohong Wan

Xiaohong Wan is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Social Psychology and General Decision Sciences, having authored 31 papers that have together received 769 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (9 papers), Neural dynamics and brain function (9 papers), Functional Brain Connectivity Studies (7 papers), Advanced MRI Techniques and Applications (3 papers), Memory and Neural Mechanisms (3 papers), Decision-Making and Behavioral Economics (3 papers), Cognitive Science and Mapping (3 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Cognitive Neuroscience (434 citations), General Decision Sciences (12 citations), Radiology, Nuclear Medicine and Imaging (130 citations), Experimental and Cognitive Psychology (56 citations) and Signal Processing (46 citations). Xiaohong Wan has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Jorge Riera, Kang Cheng, Keiji Tanaka, Ryuta Kawashima, Juan Carlos Jiménez, Kenichi Ueno, Momoji Kubo, Seiichi Takami, Akira Miyamoto and Kazuki Iwata. Their work appears in journals such as Human Brain Mapping, Cell Reports, Journal of Neuroscience, Clinical Neurophysiology and PLoS Biology.

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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