Fei Wang

195 papers receiving 3.6k citations

Fei Wang's Hit Papers

Multi-workflow dynamic scheduling in product design: A generalizable approach based on meta-reinforcement learning 2025 · 21 citations
210+7+14Years since publication200400600

Peers

Fei Wang
Comparison fields: 5 of 184
  • Geriatrics and Gerontology 947
  • Aging 118
  • Physiology 156
  • Physiology 821
  • Epidemiology 628
Replace Biao Li with:
Biao Li China
Ran Zhang China
Deyu Fang United States
Shih‐Jen Chen Taiwan
Sung Jun Park South Korea
Yong Li China
Tao Shen China
Yuanyuan Zhang China
Yong Huang China
Xing Liu China
Fei Wang relative to Biao Li China Biao Li's profile →
Citations per field
00.5×3.6×
Biao Li · 1×
Citations per year

Countries citing papers authored by Fei Wang

Since Specialization
Citations

This map shows the geographic impact of 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 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 Fei Wang more than expected).

Fields of papers citing papers by Fei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 232 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SIRT3, a Mitochondrial Sirtuin Deacetylase, Regulates Mitochondrial Function and Thermogenesis in Brown Adipocytes
Hit paper breakdown →
2005600
2
SIRT2 deacetylates FOXO3a in response to oxidative stress and caloric restriction
Hit paper breakdown →
2007523
3 2008222
4 2015127
5 201594
6 201787
7 201168
8 201667
9 201059
10 201856
11 201054
12 201549
13 201944
14 201143
15 201843
16 201542
17 201041
18 201539
19 201439
20 201636

About Fei Wang

Fei Wang is a scholar working on Surgery, Molecular Biology, Pathology and Forensic Medicine, Epidemiology and Artificial Intelligence, having authored 232 papers that have together received 3.7k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (8 papers), Spine and Intervertebral Disc Pathology (7 papers), Machine Learning in Healthcare (7 papers), Sirtuins and Resveratrol in Medicine (6 papers), Pelvic and Acetabular Injuries (6 papers), Total Knee Arthroplasty Outcomes (5 papers), Spinal Fractures and Fixation Techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Geriatrics and Gerontology (947 citations), Aging (118 citations), Physiology (156 citations), Physiology (821 citations) and Epidemiology (628 citations). Fei Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Qiang Tong, Emily S. Stieren, Tong Shi, F. Xiao‐Feng Qin, Yu‐Qing Zhang, Shun‐Yi Wang, Tong-Chun Bai, Shun‐Jun Ji, Pei Xu and Ying Wen. Their work appears in journals such as Medicine, Scientific Reports, Materials Science and Engineering C, Frontiers in Endocrinology and PLoS neglected tropical diseases.

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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