Dahua Yu

4.1k citations
106 papers · 3.0k · h-index 31

Impact in

Papers in

Dahua Yu

98 papers receiving 3.0k citations

Peers

Dahua Yu
Comparison fields: 5 of 117
  • Cognitive Neuroscience 1.8k
  • Psychiatry and Mental health 875
  • Experimental and Cognitive Psychology 627
  • Computational Mathematics 21
  • Neurology 261
Replace Ilya M. Veer with:
Ilya M. Veer Germany
Xindi Wang China
Ernesto Sanz‐Arigita Netherlands
Reza Momenan United States
Choong‐Wan Woo South Korea
Guofan Xu United States
Håkon Grydeland Norway
Yufeng Wang China
Scott R. Sponheim United States
Philipp G. Sämann Germany
Dahua Yu relative to Ilya M. Veer Germany Ilya M. Veer's profile →
Citations per field
00.5×3.5×
Ilya M. Veer · 1×
Citations per year

Countries citing papers authored by Dahua Yu

Since Specialization
Citations

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

Fields of papers citing papers by Dahua Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012159
2 2012157
3 2016130
4 2013124
5 2012105
6 201399
7 201595
8 201392
9 201591
10 201191
11 201588
12 201688
13 201580
14 201675
15 201164
16 201263
17 201763
18 201358
19 201552
20 201450

About Dahua Yu

Dahua Yu is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Psychiatry and Mental health, having authored 106 papers that have together received 3.0k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (52 papers), Advanced Neuroimaging Techniques and Applications (22 papers), Heart Rate Variability and Autonomic Control (14 papers), Sleep and Wakefulness Research (14 papers), Mental Health Research Topics (13 papers), Migraine and Headache Studies (12 papers), Sleep and related disorders (11 papers) and Nicotinic Acetylcholine Receptors Study (11 papers). The work is most often cited by research in Cognitive Neuroscience (1.8k citations), Psychiatry and Mental health (875 citations), Experimental and Cognitive Psychology (627 citations), Computational Mathematics (21 citations) and Neurology (261 citations). Dahua Yu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Kai Yuan, Jie Tian, Wei Qin, Yanzhi Bi, Karen M. von Deneen, Yangding Li, Ling Zhao, Chenwang Jin, Ting Xue and Jixin Liu. Their work appears in journals such as Brain Imaging and Behavior, PLoS ONE, Addiction Biology, Human Brain Mapping and NMR in Biomedicine.

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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