Yan Fu

2.2k citations
114 papers · 1.2k · h-index 19

Impact in

    • Hand Gesture Recognition Systems
    • Personality Disorders and Psychopathology
    • Child and Adolescent Psychosocial and Emotional Development
    • Posttraumatic Stress Disorder Research
    • Child Abuse and Trauma

Papers in

Yan Fu

100 papers receiving 1.2k citations

Peers

Yan Fu
Comparison fields: 5 of 149
  • Human-Computer Interaction 63
  • Clinical Psychology 157
  • Genetics 58
  • Emergency Medicine 47
  • Radiology, Nuclear Medicine and Imaging 106
Replace Jee‐Eun Kim with:
Jee‐Eun Kim South Korea
Ronald Mårvik Norway
Ketan M. Patel United States
Elizabeth O. Johnson Greece
Michael C. F. Tong Hong Kong
Mohammad Reza Hadian Iran
Reza Hosseini Ghomi United States
David Wheeler United States
Patrick Staples United States
Willy Chou Taiwan
Yan Fu relative to Jee‐Eun Kim South Korea Jee‐Eun Kim's profile →
Citations per field
00.5×3.0×
Jee‐Eun Kim · 1×
Citations per year

Countries citing papers authored by Yan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013112
2 2020106
3 202155
4 201654
5 202153
6 200644
7 201336
8 202035
9 202034
10 201128
11 201927
12 202326
13 202024
14 201422
15 202220
16 202219
17 201419
18 202218
19 201618
20 201617

About Yan Fu

Yan Fu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 114 papers that have together received 1.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Personality Disorders and Psychopathology (6 papers), Glioma Diagnosis and Treatment (6 papers), Heart Failure Treatment and Management (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Attention Deficit Hyperactivity Disorder (3 papers), Aortic Disease and Treatment Approaches (3 papers) and Lipoproteins and Cardiovascular Health (3 papers). The work is most often cited by research in Human-Computer Interaction (63 citations), Clinical Psychology (157 citations), Genetics (58 citations), Emergency Medicine (47 citations) and Radiology, Nuclear Medicine and Imaging (106 citations). Yan Fu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiaoping Yi, Bihong T. Chen, Elizabeth A. Franz, Chenchen Yu, Weiya Chen, Yongshun Chen, Zhidong Xue, Jing Tang, Chunhua Yu and Xiaohui Tang. Their work appears in journals such as Frontiers in Oncology, European Child & Adolescent Psychiatry, Frontiers in Cardiovascular Medicine, Journal of Affective Disorders and Frontiers in Aging Neuroscience.

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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