Wenjun Wang
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Advanced Clustering Algorithms Research
Papers in
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- Complex Network Analysis Techniques 23
- Opinion Dynamics and Social Influence 8
-
- Advanced Graph Neural Networks 17
- Advanced Clustering Algorithms Research 3
- Co-authors
- Pengfei Jiao (17 shared papers)Lin Pan (8 shared papers)Dongxiao He (6 shared papers)Dong Liu (1 shared paper)Xiao Liu (1 shared paper)Huaming Wu (5 shared papers)Di Jin (6 shared papers)Xuan Guo (5 shared papers)
- Journals
- Knowledge-Based Systems (4 papers)IEEE Transactions on Neural Networks and Learning Systems (3 papers)Physica A Statistical Mechanics and its Applications (2 papers)Scientific Reports (2 papers)Applied Materials Today (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wenjun Wang
39 papers receiving 455 citations
Peers
Comparison fields: 5 of 86
- Statistical and Nonlinear Physics 229
- Artificial Intelligence 210
- Computational Mathematics 3
- Transportation 24
- Condensed Matter Physics 34
Countries citing papers authored by Wenjun Wang
This map shows the geographic impact of Wenjun 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 Wenjun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenjun Wang more than expected).
Fields of papers citing papers by Wenjun Wang
This network shows the impact of papers produced by Wenjun 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 Wenjun Wang. The network helps show where Wenjun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenjun 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 58 | |
| 2 | 2021 | 54 | |
| 3 | 2016 | 37 | |
| 4 | 2017 | 32 | |
| 5 | 2016 | 31 | |
| 6 | 2022 | 28 | |
| 7 | 2010 | 26 | |
| 8 | 2021 | 19 | |
| 9 | 2017 | 17 | |
| 10 | 1999 | 17 | |
| 11 | 2000 | 16 | |
| 12 | 2012 | 13 | |
| 13 | 2021 | 13 | |
| 14 | 2022 | 10 | |
| 15 | 2022 | 10 | |
| 16 | 2022 | 10 | |
| 17 | 2023 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2000 | 7 | |
| 20 | 2001 | 7 |
About Wenjun Wang
Wenjun Wang is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Molecular Biology, Condensed Matter Physics and Biomedical Engineering, having authored 41 papers that have together received 466 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (23 papers), Advanced Graph Neural Networks (17 papers), Opinion Dynamics and Social Influence (8 papers), Bioinformatics and Genomic Networks (5 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Advanced Clustering Algorithms Research (3 papers), Network Security and Intrusion Detection (3 papers) and Micro and Nano Robotics (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (229 citations), Artificial Intelligence (210 citations), Computational Mathematics (3 citations), Transportation (24 citations) and Condensed Matter Physics (34 citations). Wenjun Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Pengfei Jiao, Lin Pan, Dongxiao He, Dong Liu, Xiao Liu, Huaming Wu, Di Jin, Xuan Guo, Wei Yu and Fei Cai. Their work appears in journals such as Knowledge-Based Systems, IEEE Transactions on Neural Networks and Learning Systems, Physica A Statistical Mechanics and its Applications, Scientific Reports and Applied Materials Today.
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.