Fan Wang

47 papers receiving 270 citations

Fan Wang's Hit Papers

Machine learning-enhanced flavoromics: Identifying key aroma compounds and predicting sensory quality in sauce-flavor baijiu 2025 · 19 citations
190Years since publication51015

Peers

Fan Wang
Comparison fields: 5 of 101
  • Radiological and Ultrasound Technology 29
  • Hepatology 34
  • Statistics, Probability and Uncertainty 25
  • Medical Laboratory Technology 4
  • Energy Engineering and Power Technology 7
Replace Xinyao Guo with:
Xinyao Guo China
Mohamed Yousef Saudi Arabia
Walid Al-Zyoud Jordan
Lu Deng China
Zheyu Zhang China
Ling Liao China
Jin-Hyuk Lee South Korea
Felix Felix Germany
Shixian Li China
Ting Dong China
Fan Wang relative to Xinyao Guo China Xinyao Guo's profile →
Citations per field
00.5×3.2×
Xinyao Guo · 1×
Citations per year

Countries citing papers authored by Fan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200043
2 202038
3
Machine learning-enhanced flavoromics: Identifying key aroma compounds and predicting sensory quality in sauce-flavor baijiu
Hit paper breakdown →
202519
4 202417
5 202413
6 202411
7 20249
8 20229
9 20238
10 20248
11 20248
12 20247
13 20257
14 20246
15 20246
16 20246
17 20245
18 20255
19 20245
20 20245

About Fan Wang

Fan Wang is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Nutrition and Dietetics, Food Science and Astronomy and Astrophysics, having authored 62 papers that have together received 281 indexed citations. Recurring topics across this work include Stellar, planetary, and galactic studies (4 papers), Food composition and properties (4 papers), Polysaccharides Composition and Applications (3 papers), Neonatal and fetal brain pathology (2 papers), Hepatitis B Virus Studies (2 papers), Advanced Battery Materials and Technologies (2 papers), Thermal and Kinetic Analysis (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Radiological and Ultrasound Technology (29 citations), Hepatology (34 citations), Statistics, Probability and Uncertainty (25 citations), Medical Laboratory Technology (4 citations) and Energy Engineering and Power Technology (7 citations). Fan Wang has collaborated with scholars based in China, Hungary and United States. Frequent co-authors include Hak Hotta, Xincong Yang, Manabu Takamatsu, Isao Yoshida, Heng Li, Kiyomasa Oka, Tsunenori Fujita, Andy S. K. Cheng, Jue Li and Hongwei Wang. Their work appears in journals such as International Journal of Biological Macromolecules, Scientia Horticulturae, Food Chemistry, The Astronomical Journal and Animals.

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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