Wei Min Wang

653 total citations · 1 hit paper
17 papers, 446 citations indexed

About

Wei Min Wang is a scholar working on Artificial Intelligence, Mechanical Engineering and Strategy and Management. According to data from OpenAlex, Wei Min Wang has authored 17 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Mechanical Engineering and 4 papers in Strategy and Management. Recurrent topics in Wei Min Wang's work include Design Education and Practice (5 papers), Product Development and Customization (2 papers) and Business Process Modeling and Analysis (2 papers). Wei Min Wang is often cited by papers focused on Design Education and Practice (5 papers), Product Development and Customization (2 papers) and Business Process Modeling and Analysis (2 papers). Wei Min Wang collaborates with scholars based in China, Germany and United States. Wei Min Wang's co-authors include Eric Gifford, Andy Liaw, Junshui Ma, Robert P. Sheridan, Rainer Stark, Henrique Rozenfeld, Kai Lindow, Jun Xiang, Hao Ding and Dandan Wu and has published in prestigious journals such as Sensors, Journal of Chemical Information and Modeling and Frontiers in Marine Science.

In The Last Decade

Wei Min Wang

15 papers receiving 432 citations

Hit Papers

Extreme Gradient Boosting as a Method for Quantitative St... 2016 2026 2019 2022 2016 100 200 300

Peers

Wei Min Wang
Comparison fields: 5 of 144
  • Computational Theory and Mathematics 150
  • Molecular Biology 101
  • Materials Chemistry 76
  • Artificial Intelligence 49
  • Mechanical Engineering 30
Replace Enas Elgeldawi with:
Enas Elgeldawi Egypt
Eun Jung Kim United States
Yingying Song China
Xiaohong Li China
Lanqing Li China
Yuting Sun China
Hu Li China
Belmiro P.M. Duarte Portugal
George Brownbridge United Kingdom
Feng China
Enas Elgeldawi Egypt View profile →
Citations per field, relative to Wei Min Wang
Wei Min Wang · 1×
Citations per year, relative to Wei Min Wang
Wei Min Wang · 1×

Countries citing papers authored by Wei Min Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Min Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Min Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Min Wang. A scholar is included among the top collaborators of Wei Min 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 Wei Min Wang. Wei Min Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 4
2 0
3 1
4 0
5 7
6 1
7 8
8 1
9 2
10 1
11 3
12 10
13 10
14
Extreme Gradient Boosting as a Method for Quantitative Structure–Activity Relationships breakdown →
385
15 7
16 1
17 5

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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