Wei Wang

38.4k total citations · 2 hit papers
857 papers, 20.3k citations indexed

About

Wei Wang is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Wei Wang has authored 857 papers receiving a total of 20.3k indexed citations (citations by other indexed papers that have themselves been cited), including 263 papers in Artificial Intelligence, 232 papers in Molecular Biology and 153 papers in Information Systems. Recurrent topics in Wei Wang's work include Data Management and Algorithms (101 papers), Data Mining Algorithms and Applications (73 papers) and Bioinformatics and Genomic Networks (72 papers). Wei Wang is often cited by papers focused on Data Management and Algorithms (101 papers), Data Mining Algorithms and Applications (73 papers) and Bioinformatics and Genomic Networks (72 papers). Wei Wang collaborates with scholars based in China, United States and Australia. Wei Wang's co-authors include Jiong Yang, Philip S. Yu, Xuemin Lin, Richard R. Muntz, Haixun Wang, Jan F. Prins, Chuan Xiao, Jun Huan, Jiong Yang and Jeffrey Xu Yu and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Wei Wang

786 papers receiving 19.5k citations

Hit Papers

STING: A Statistical Information Grid Approach to Spatial... 1997 2026 2006 2016 1997 2018 250 500 750

Peers

Wei Wang
Comparison fields: 5 of 224
  • Artificial Intelligence 6.3k
  • Molecular Biology 6.0k
  • Information Systems 3.9k
  • Signal Processing 3.4k
  • Computer Networks and Communications 2.7k
Replace David Heckerman with:
David Heckerman United States
Nello Cristianini Brazil
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Daphne Koller United States
Eibe Frank New Zealand
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John Shawe‐Taylor United Kingdom
Charles Elkan United States
Mark Hall United Kingdom
Thomas Hofmann Germany
David Heckerman United States View profile →
Citations per field, relative to Wei Wang
Wei Wang · 1×
Citations per year, relative to Wei Wang
Wei Wang · 1×

Countries citing papers authored by Wei Wang

Since Specialization
Citations

This map shows the geographic impact of Wei 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 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 Wang more than expected).

Fields of papers citing papers by Wei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Wang. A scholar is included among the top collaborators of Wei 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 Wang. Wei 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
# Work Indexed citations
1 7
2 1
3 0
4 0
5 20
6 6
7 2
8 0
9 1
10 1
11 40
12 8
13 1
14 20
15 15
16 39
17 216
18 3
19 4
20 29

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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