Yifei Wang

4.7k citations
90 papers · 1.9k indexed · 2 hit papers · h-index 18
Topics
SARS-CoV-2 and COVID-19 Research (11 papers)Computational Drug Discovery Methods (6 papers)COVID-19 Clinical Research Studies (6 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Yifei Wang

80 papers receiving 1.9k citations

Hit Papers

Concepts of Artificial Intelligence for Computer-Assisted...201920262021202320192025200400600

Peers

Yifei Wang
Comparison fields: 5 of 175
  • Molecular Biology 842
  • Computational Theory and Mathematics 442
  • Infectious Diseases 275
  • Materials Chemistry 233
  • Pharmacology 133
Replace H. C. Stephen Chan with:
H. C. Stephen Chan China
Ana C. Puhl United States
Thomas R. Lane United States
Shuguang Yuan China
Yanjie Wei China
Xiaochen Bo China
Kimberley M. Zorn United States
Konda Mani Saravanan India
Xian Zeng China
Alexey Zakharov United States
Yifei Wang relative to H. C. Stephen Chan China H. C. Stephen Chan's profile →
Citations per field
00.5×1.5×2.5×
H. C. Stephen Chan · 1×
Citations per year

Countries citing papers authored by Yifei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yifei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yifei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yifei Wang. A scholar is included among the top collaborators of Yifei 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 Yifei Wang. Yifei 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 0
2
Artificial intelligence in drug developmentbreakdown →
110
3 0
4 2
5 0
6 5
7 1
8 1
9 21
10 3
11 4
12 5
13 67
14 55
15 2
16 6
17 2
18 16
19
Early immunoresponse of BALB/C mice to inactivated SARS vaccines prepared with different adjuvants
1
20
Three-dimensional Computer Simulation for Protein Folding
0

About Yifei Wang

Yifei Wang is a scholar working on Infectious Diseases, Reproductive Medicine and Biochemistry, having authored 90 papers that have together received 1.9k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), Computational Drug Discovery Methods (6 papers) and COVID-19 Clinical Research Studies (6 papers). The work is most often cited by research in Health Informatics (43 citations), Computational Theory and Mathematics (442 citations) and Infectious Diseases (275 citations). Yifei Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Shengyong Yang, Xin Yang, Ryan Byrne, Gisbert Schneider, Xin Yang, Jun Zou, Jian Yu, Song Lin, Junhua Li and Ajay Singh. Their work appears in journals such as Chemical Reviews, Journal of Biological Chemistry and Nature Medicine.

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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