Baohong Wen

659 total citations
54 papers, 427 citations indexed

About

Baohong Wen is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Clinical Psychology. According to data from OpenAlex, Baohong Wen has authored 54 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 26 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Clinical Psychology. Recurrent topics in Baohong Wen's work include Functional Brain Connectivity Studies (22 papers), Obsessive-Compulsive Spectrum Disorders (13 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). Baohong Wen is often cited by papers focused on Functional Brain Connectivity Studies (22 papers), Obsessive-Compulsive Spectrum Disorders (13 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). Baohong Wen collaborates with scholars based in China, France and United States. Baohong Wen's co-authors include Jingliang Cheng, Jingliang Cheng, Shaoqiang Han, Haifeng Wang, Hongpeng Li, Yarui Wei, Bing Wu, Yong Zhang, Ruiping Zheng and Kangkang Xue and has published in prestigious journals such as Nature Communications, Scientific Reports and Biological Psychiatry.

In The Last Decade

Baohong Wen

45 papers receiving 425 citations

Peers

Baohong Wen
Comparison fields: 5 of 75
  • Radiology, Nuclear Medicine and Imaging 216
  • Cognitive Neuroscience 124
  • Surgery 59
  • Clinical Psychology 47
  • Pulmonary and Respiratory Medicine 47
Replace Shun Qi with:
Shun Qi China
Eiki Nagao Japan
In Seong Kim South Korea
Zhitong Zou China
Lisa Lemen United States
Alessia Catalucci Italy
Jin Kyoung Oh South Korea
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Hanani Abdul Manan Malaysia
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Shun Qi China View profile →
Citations per field, relative to Baohong Wen
Baohong Wen · 1×
Citations per year, relative to Baohong Wen
Baohong Wen · 1×

Countries citing papers authored by Baohong Wen

Since Specialization
Citations

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

Fields of papers citing papers by Baohong Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baohong Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Baohong Wen. A scholar is included among the top collaborators of Baohong Wen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Baohong Wen. Baohong Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 0
5 2
6 2
7 2
8 1
9 5
10 7
11 16
12 2
13 9
14 3
15 0
16 6
17 4
18 10
19 16
20 1

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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