Weiwei Yan

2.8k citations
138 papers · 2.2k · h-index 27

Impact in

Papers in

Weiwei Yan

132 papers receiving 2.1k citations

Peers

Weiwei Yan
Comparison fields: 5 of 140
  • Parasitology 480
  • Small Animals 252
  • Infectious Diseases 332
  • Catalysis 121
  • Computational Mechanics 331
Replace Pascal Lenormand with:
Pascal Lenormand France
Samuel A. Lewis United States
Yasuhiro Fukuda Japan
Gregory A. Campbell United States
Robert Patterson Australia
Dipankar Ghosh India
Yujian Wang China
Qiang Miao China
Yixing Li China
Xiaowei Tian China
Weiwei Yan relative to Pascal Lenormand France Pascal Lenormand's profile →
Citations per field
00.5×7.4×
Pascal Lenormand · 1×
Citations per year

Countries citing papers authored by Weiwei Yan

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201488
2 200783
3 200876
4 200866
5 201465
6 201059
7 201554
8 201551
9 201145
10 200744
11 201043
12 201441
13 201341
14 201940
15 201140
16 201435
17 201034
18 201533
19 200933
20 200932

About Weiwei Yan

Weiwei Yan is a scholar working on Computational Mechanics, Electrical and Electronic Engineering, Biomedical Engineering, Mechanical Engineering and Parasitology, having authored 138 papers that have together received 2.2k indexed citations. Recurring topics across this work include Lattice Boltzmann Simulation Studies (28 papers), Leptospirosis research and findings (14 papers), Aerosol Filtration and Electrostatic Precipitation (11 papers), Veterinary medicine and infectious diseases (10 papers), Advancements in Battery Materials (9 papers), Fluid Dynamics and Turbulent Flows (8 papers), Supercapacitor Materials and Fabrication (8 papers) and Ammonia Synthesis and Nitrogen Reduction (7 papers). The work is most often cited by research in Parasitology (480 citations), Small Animals (252 citations), Infectious Diseases (332 citations), Catalysis (121 citations) and Computational Mechanics (331 citations). Weiwei Yan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yung‐Fu Chang, Sean P. McDonough, Syed M. Faisal, Yang Liu, Jie Wu, Bingmei M. Fu, Thomas J. Divers, Ming-Jeng Pan, Chao-Fu Chang and Bruce Akey. Their work appears in journals such as Vaccine, Physics of Fluids, PLoS ONE, Journal of Membrane Science and Energy & Fuels.

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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