Guo‐Wei Wei

8.9k citations
130 papers · 4.3k · 2 hit papers · h-index 35

Impact in

Papers in

Guo‐Wei Wei

126 papers receiving 4.2k citations

Guo‐Wei Wei's Hit Papers

Machine Learning Methods for Small Data Challenges in Molecular Science 2023 · 245 citations
2450+1+2Years since publication100200300400

Peers

Guo‐Wei Wei
Comparison fields: 5 of 176
  • Computational Theory and Mathematics 1.6k
  • Infectious Diseases 768
  • Biophysics 209
  • Modeling and Simulation 129
  • Molecular Biology 1.8k
Replace Gianni De Fabritiis with:
Gianni De Fabritiis Spain
Anders Wallqvist United States
Dong‐Qing Wei China
Bruce Tidor United States
Nathan Baker United States
Rommie E. Amaro United States
Joseph Lehár United States
Michael Holst United States
Guo-Wei Wei United States
David J. Evans United Kingdom
Guo‐Wei Wei relative to Gianni De Fabritiis Spain Gianni De Fabritiis's profile →
Citations per field
00.5×7.2×
Gianni De Fabritiis · 1×
Citations per year

Countries citing papers authored by Guo‐Wei Wei

Since Specialization
Citations

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

Fields of papers citing papers by Guo‐Wei Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guo‐Wei Wei. 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 Guo‐Wei Wei. The network helps show where Guo‐Wei Wei may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Omicron Variant (B.1.1.529): Infectivity, Vaccine Breakthrough, and Antibody Resistance
Hit paper breakdown →
2022452
2
Machine Learning Methods for Small Data Challenges in Molecular Science
Hit paper breakdown →
2023245
3 2019165
4 2017130
5 2011128
6 2010127
7 2007125
8 2013124
9 2018124
10 2012101
11 202093
12 201191
13 201086
14 202085
15 201785
16 202181
17 201879
18 202079
19 200871
20 202271

About Guo‐Wei Wei

Guo‐Wei Wei is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering, having authored 130 papers that have together received 4.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (39 papers), Protein Structure and Dynamics (33 papers), Topological and Geometric Data Analysis (14 papers), Machine Learning in Materials Science (11 papers), Bioinformatics and Genomic Networks (10 papers), Nanopore and Nanochannel Transport Studies (9 papers), Advanced Numerical Methods in Computational Mathematics (9 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). The work is most often cited by research in Computational Theory and Mathematics (1.6k citations), Infectious Diseases (768 citations), Biophysics (209 citations), Modeling and Simulation (129 citations) and Molecular Biology (1.8k citations). Guo‐Wei Wei has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Rui Wang, Jiahui Chen, Duc Duy Nguyen, Kelin Xia, Kedi Wu, Duan Chen, Kaifu Gao, Zixuan Cang, Weihua Geng and Yuchi Qiu. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Computational Chemistry, Journal of Computational Physics, The Journal of Physical Chemistry Letters and International Journal for Numerical Methods in Biomedical Engineering.

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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