Feng Wu

4.3k citations
127 papers · 3.1k indexed · h-index 30

Impact in

Papers in

Feng Wu

123 papers receiving 3.1k citations

Peers

Feng Wu
Comparison fields: 5 of 144
  • Radiology, Nuclear Medicine and Imaging 881
  • Biological Psychiatry 93
  • Hepatology 293
  • Cognitive Neuroscience 556
  • Biomedical Engineering 975
Replace Satoshi Kato with:
Satoshi Kato Japan
Yusuke Inoue Japan
Kurt Kletter Austria
Masafumi Harada Japan
Paul B. Hoffer United States
Marc Colombel France
Keiichi Takahashi Japan
Ronald Borra Netherlands
Carlos Alberto Buchpiguel Brazil
Feng Wu relative to Satoshi Kato Japan Satoshi Kato's profile →
Citations per field
00.5×5.9×
Satoshi Kato · 1×
Citations per year

Countries citing papers authored by Feng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Feng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20241
4 20232
5 20232
6 20239
7 20230
8 20212
9 202028
10 20196
11 201939
12
Epidemiological analysis of visceral leishmaniasis in Hancheng City of Shaanxi Province in 2017.
20181
13 20161
14 20148
15 201429
16 201377
17 20111
18
Oncomelania hupensis snail reproduction and susceptibility in schistosomiasis non-endemic area in Southern Jiangsu.
20101
19
Virtual Land Research for the Purpose of Food Security
20091
20
The Effect of High Intensity Focused Ultrasound on Breast Cancer Tissues and Carcinoma Vascularities
20061

About Feng Wu

Feng Wu is a scholar working on Biological Psychiatry, Cognitive Neuroscience, Pulmonary and Respiratory Medicine, Hepatology and Radiology, Nuclear Medicine and Imaging, having authored 127 papers that have together received 3.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (21 papers), Advanced Neuroimaging Techniques and Applications (11 papers), Respiratory and Cough-Related Research (11 papers), Asthma and respiratory diseases (11 papers), Ultrasound and Hyperthermia Applications (10 papers), Atherosclerosis and Cardiovascular Diseases (9 papers), Advanced MRI Techniques and Applications (8 papers) and Bipolar Disorder and Treatment (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (881 citations), Biological Psychiatry (93 citations), Hepatology (293 citations), Cognitive Neuroscience (556 citations) and Biomedical Engineering (975 citations). Feng Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jin Bai, Hui Zhu, Lingtao Kong, Zhibiao Wang, Wenzhi Chen, Kequan Li, Hai-Bing Su, Fang-Lin Xie, Chengbing Jin and Jianzhong Zou. Their work appears in journals such as Journal of Affective Disorders, Frontiers in Psychiatry, BMC Pulmonary Medicine, Radiology and Nuclear Medicine and Biology.

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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