Wei Wang
Impact in
- Signal Processing top 0.05%
- Data Management and Algorithms
- Artificial Intelligence top 0.05%
- Advanced Graph Neural Networks
- Advanced Clustering Algorithms Research
Papers in
-
- Advanced Graph Neural Networks 64
-
- Bioinformatics and Genomic Networks 69
- Gene expression and cancer classification 49
- Co-authors
- Jiong Yang (32 shared papers)Philip S. Yu (21 shared papers)Xuemin Lin (32 shared papers)Richard R. Muntz (9 shared papers)Chuan Xiao (14 shared papers)Jan F. Prins (14 shared papers)Haixun Wang (9 shared papers)Jun Huan (8 shared papers)
- Journals
- Bioinformatics (13 papers)PLoS ONE (12 papers)IEEE Transactions on Knowledge and Data Engineering (12 papers)BMC Bioinformatics (11 papers)Proceedings of the VLDB Endowment (6 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wei Wang
880 papers receiving 22.4k citations
Wei Wang's Hit Papers
Peers
Comparison fields: 5 of 225
- Signal Processing 4.2k
- Artificial Intelligence 7.5k
- Information Systems 4.8k
- Computer Networks and Communications 3.2k
- Computer Vision and Pattern Recognition 2.9k
Countries citing papers authored by Wei Wang
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
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-authors
The 25 scholars most cited alongside Wei Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 940 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | STING: A Statistical Information Grid Approach to Spatial Data Mining Hit paper breakdown → | 1997 | 942 |
| 2 | Efficient mining of frequent subgraphs in the presence of isomorphism Hit paper breakdown → | 2004 | 451 |
| 3 | 2003 | 418 | |
| 4 | SymMap: an integrative database of traditional Chinese medicine enhanced by symptom mapping Hit paper breakdown → | 2018 | 402 |
| 5 | 2002 | 377 | |
| 6 | Efficient similarity joins for near duplicate detection Hit paper breakdown → | 2008 | 372 |
| 7 | 2006 | 330 | |
| 8 | 2015 | 304 | |
| 9 | 2012 | 285 | |
| 10 | 2017 | 269 | |
| 11 | 2019 | 261 | |
| 12 | 2004 | 261 | |
| 13 | 2011 | 244 | |
| 14 | 2019 | 235 | |
| 15 | 2018 | 235 | |
| 16 | 2003 | 234 | |
| 17 | 2003 | 229 | |
| 18 | 2004 | 222 | |
| 19 | 2007 | 209 | |
| 20 | 2009 | 208 |
About Wei Wang
Wei Wang is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Signal Processing and Computer Networks and Communications, having authored 940 papers that have together received 23.4k indexed citations. Recurring topics across this work include Data Management and Algorithms (123 papers), Data Mining Algorithms and Applications (89 papers), Bioinformatics and Genomic Networks (69 papers), Advanced Graph Neural Networks (64 papers), Advanced Database Systems and Queries (57 papers), Genetic Mapping and Diversity in Plants and Animals (50 papers), Gene expression and cancer classification (49 papers) and Complex Network Analysis Techniques (46 papers). The work is most often cited by research in Signal Processing (4.2k citations), Artificial Intelligence (7.5k citations), Information Systems (4.8k citations), Computer Networks and Communications (3.2k citations) and Computer Vision and Pattern Recognition (2.9k citations). Wei Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jiong Yang, Philip S. Yu, Xuemin Lin, Richard R. Muntz, Chuan Xiao, Jan F. Prins, Haixun Wang, Jun Huan, Jiong Yang and Jeffrey Xu Yu. Their work appears in journals such as Bioinformatics, PLoS ONE, IEEE Transactions on Knowledge and Data Engineering, BMC Bioinformatics and Proceedings of the VLDB Endowment.
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.