Kai Wu

6.7k citations
275 papers · 5.1k · h-index 36

Impact in

Papers in

Kai Wu

264 papers receiving 5.0k citations

Peers

Kai Wu
Comparison fields: 5 of 181
  • Biological Psychiatry 195
  • Cognitive Neuroscience 1.1k
  • Radiology, Nuclear Medicine and Imaging 645
  • Psychiatry and Mental health 346
  • Experimental and Cognitive Psychology 296
Replace Bin Wang with:
Bin Wang China
David R. Fowler United States
David Matthew White United States
Jun Liu China
Jason Haitao Huang United States
Zheng Wang China
Motomu Suga Japan
Jong‐Hoon Kim South Korea
Xiaosong He United States
Jing Tao China
Kai Wu relative to Bin Wang China Bin Wang's profile →
Citations per field
00.5×1.5×
Bin Wang · 1×
Citations per year

Countries citing papers authored by Kai Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 275 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000232
2 2017184
3 2011153
4 2013149
5 2020112
6 2021103
7 201198
8 199685
9 201183
10 201581
11 199781
12 201680
13 201479
14 202275
15 201868
16 201168
17 201567
18 202060
19 202360
20 201157

About Kai Wu

Kai Wu is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Psychiatry and Mental health and Biological Psychiatry, having authored 275 papers that have together received 5.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (43 papers), Advanced Neuroimaging Techniques and Applications (27 papers), Malaria Research and Control (15 papers), Gut microbiota and health (14 papers), Tryptophan and brain disorders (9 papers), EEG and Brain-Computer Interfaces (9 papers), Treatment of Major Depression (8 papers) and Advanced MRI Techniques and Applications (8 papers). The work is most often cited by research in Biological Psychiatry (195 citations), Cognitive Neuroscience (1.1k citations), Radiology, Nuclear Medicine and Imaging (645 citations), Psychiatry and Mental health (346 citations) and Experimental and Cognitive Psychology (296 citations). Kai Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yasuyuki Taki, Ryuta Kawashima, Hiroshi Fukuda, Kazunori Sato, Fengchun Wu, Yuping Ning, Yuko Sassa, Ryoi Goto, Christopher D. Reeves and W. Peter Revill. Their work appears in journals such as Journal of Affective Disorders, Frontiers in Psychiatry, Human Brain Mapping, Frontiers in Neuroscience and Scientific Reports.

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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