Pinghui Wang
Impact in
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- Complex Network Analysis Techniques
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Internet Traffic Analysis and Secure E-voting
- Topic Modeling
- Data Stream Mining Techniques
Papers in
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- Advanced Graph Neural Networks 25
- Internet Traffic Analysis and Secure E-voting 12
- Topic Modeling 8
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- Complex Network Analysis Techniques 30
- Co-authors
- Xiaohong Guan (50 shared papers)Junzhou Zhao (42 shared papers)John C. S. Lui (22 shared papers)Jing Tao (30 shared papers)Don Towsley (16 shared papers)Nuo Xu (3 shared papers)Tao Qin (9 shared papers)Li Pan (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (13 papers)Information Sciences (6 papers)ACM Transactions on Knowledge Discovery from Data (3 papers)Knowledge and Information Systems (3 papers)Knowledge-Based Systems (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Pinghui Wang
93 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 89
- Statistical and Nonlinear Physics 248
- Artificial Intelligence 520
- Computer Networks and Communications 293
- Transportation 72
- Signal Processing 111
Countries citing papers authored by Pinghui Wang
This map shows the geographic impact of Pinghui 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 Pinghui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pinghui Wang more than expected).
Fields of papers citing papers by Pinghui Wang
This network shows the impact of papers produced by Pinghui 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 Pinghui Wang. The network helps show where Pinghui Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pinghui 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 109 | |
| 2 | 2023 | 83 | |
| 3 | 2014 | 63 | |
| 4 | 2016 | 48 | |
| 5 | 2021 | 38 | |
| 6 | 2017 | 32 | |
| 7 | 2010 | 31 | |
| 8 | 2022 | 28 | |
| 9 | 2014 | 25 | |
| 10 | 2016 | 23 | |
| 11 | 2024 | 20 | |
| 12 | 2011 | 20 | |
| 13 | 2019 | 18 | |
| 14 | 2010 | 18 | |
| 15 | 2018 | 16 | |
| 16 | 2019 | 15 | |
| 17 | 2017 | 15 | |
| 18 | 2023 | 15 | |
| 19 | 2021 | 15 | |
| 20 | 2021 | 14 |
About Pinghui Wang
Pinghui Wang is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, having authored 103 papers that have together received 1.0k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (30 papers), Advanced Graph Neural Networks (25 papers), Network Security and Intrusion Detection (14 papers), Internet Traffic Analysis and Secure E-voting (12 papers), Data Management and Algorithms (8 papers), Topic Modeling (8 papers), Caching and Content Delivery (8 papers) and Human Mobility and Location-Based Analysis (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (248 citations), Artificial Intelligence (520 citations), Computer Networks and Communications (293 citations), Transportation (72 citations) and Signal Processing (111 citations). Pinghui Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiaohong Guan, Junzhou Zhao, John C. S. Lui, Jing Tao, Don Towsley, Nuo Xu, Tao Qin, Li Pan, Long Chen and Xiaoyan Wang. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Information Sciences, ACM Transactions on Knowledge Discovery from Data, Knowledge and Information Systems and Knowledge-Based Systems.
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.