Yun Fei Wang

548 citations
20 papers · 417 indexed · h-index 12
Topics
Functional Brain Connectivity Studies (13 papers)Dementia and Cognitive Impairment Research (6 papers)Advanced Neuroimaging Techniques and Applications (6 papers)

In The Last Decade

Yun Fei Wang

20 papers receiving 413 citations

Peers

Yun Fei Wang
Comparison fields: 5 of 75
  • Molecular Biology 175
  • Cognitive Neuroscience 154
  • Radiology, Nuclear Medicine and Imaging 93
  • Psychiatry and Mental health 55
  • Physiology 48
Replace Helena Hernández‐Cuervo with:
Helena Hernández‐Cuervo United States
Koji Tominaga Japan
Xueping Hu China
Ellen Anckaert Belgium
Georgia M. Parkin Australia
Shihoko Kimura‐Ohba Japan
Yung‐Shuan Lin Taiwan
Maohua Wang China
Vitalie Văcăraș Romania
Ram Kuwar United States
Yun Fei Wang relative to Helena Hernández‐Cuervo United States Helena Hernández‐Cuervo's profile →
Citations per field
00.5×4.9×
Helena Hernández‐Cuervo · 1×
Citations per year

Countries citing papers authored by Yun Fei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yun Fei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun Fei Wang. 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 Yun Fei Wang. The network helps show where Yun Fei Wang may publish in the future.

Co-authorship network of co-authors of Yun Fei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Fei Wang. A scholar is included among the top collaborators of Yun Fei Wang 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 Yun Fei Wang. Yun Fei Wang 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
#WorkIndexed citations
1 2
2 4
3 9
4 3
5 7
6 14
7 1
8 22
9 23
10 13
11 47
12 35
13 5
14 2
15 12
16 23
17 26
18 15
19 33
20 121

About Yun Fei Wang

Yun Fei Wang is a scholar working on Biological Psychiatry, Cognitive Neuroscience and Psychiatry and Mental health, having authored 20 papers that have together received 417 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (13 papers), Dementia and Cognitive Impairment Research (6 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). The work is most often cited by research in Biological Psychiatry (22 citations), Cognitive Neuroscience (154 citations) and Nephrology (35 citations). Yun Fei Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Long Jiang Zhang, Guangming Lu, Mark T. Muller, Kui Liu, Li Zheng, U. Joseph Schoepf, Ákos Varga‐Szemes, Ya Liu, Gang Zheng and Xiang Kong. Their work appears in journals such as Molecular and Cellular Biology, Scientific Reports and Journal of Affective Disorders.

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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