Hui Shen

6.4k citations
163 papers · 4.6k indexed · 1 hit paper · h-index 35

Impact in

Papers in

Hui Shen

150 papers receiving 4.6k citations

Hit Papers

Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis 2012 · 607 citations
6072012202620162021200400600

Peers

Hui Shen
Comparison fields: 5 of 165
  • Cognitive Neuroscience 3.0k
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Experimental and Cognitive Psychology 807
  • Health Informatics 61
  • Biological Psychiatry 97
Replace Dezhong Yao with:
Dezhong Yao China
Miguel Castelo‐Branco Portugal
Anders Eklund Sweden
Adeel Razi United Kingdom
Srikanth Ryali United States
Janaı́na Mourão-Miranda United Kingdom
Ling‐Li Zeng China
Yuhui Du China
Jussi Tohka Finland
Jia Huang China
Hui Shen relative to Dezhong Yao China Dezhong Yao's profile →
Citations per field
00.5×6.1×
Dezhong Yao · 1×
Citations per year

Countries citing papers authored by Hui Shen

Since Specialization
Citations

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

Fields of papers citing papers by Hui Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20240
4 20230
5 202334
6 20222
7 202232
8 202219
9 2020136
10 20206
11 20193
12 201940
13 201926
14 201839
15 20188
16 20174
17 20174
18 201510
19 2013146
20 2012261

About Hui Shen

Hui Shen is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Computational Mathematics, Neurology and Signal Processing, having authored 163 papers that have together received 4.6k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (81 papers), Advanced Neuroimaging Techniques and Applications (45 papers), Neural dynamics and brain function (34 papers), EEG and Brain-Computer Interfaces (32 papers), Advanced MRI Techniques and Applications (27 papers), Mental Health Research Topics (9 papers), Blind Source Separation Techniques (8 papers) and Neuroscience and Neural Engineering (6 papers). The work is most often cited by research in Cognitive Neuroscience (3.0k citations), Radiology, Nuclear Medicine and Imaging (1.5k citations), Experimental and Cognitive Psychology (807 citations), Health Informatics (61 citations) and Biological Psychiatry (97 citations). Hui Shen has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Dewen Hu, Ling‐Li Zeng, Lubin Wang, Baojuan Li, Li Liu, Peng Fang, Li Liu, Jian Qin, Zongtan Zhou and Yadong Liu. Their work appears in journals such as PLoS ONE, Neuroreport, Human Brain Mapping, Brain Research and NeuroImage.

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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