Mingzhong Wang
Impact in
- Artificial Intelligence top 2%
- Internet Traffic Analysis and Secure E-voting
- Advanced Graph Neural Networks
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Topic Modeling
-
- Network Security and Intrusion Detection
Papers in
-
- Advanced Graph Neural Networks 5
- Adversarial Robustness in Machine Learning 4
-
- Distributed and Parallel Computing Systems 5
- Co-authors
- Liehuang Zhu (15 shared papers)Mingwei Wei (3 shared papers)Meng Shen (4 shared papers)Xin Li (12 shared papers)Yu‐an Tan (1 shared paper)Chang Liu (1 shared paper)Rui Ye (3 shared papers)Kotagiri Ramamohanarao (7 shared papers)
- Journals
- Information Sciences (2 papers)ACM Transactions on Information Systems (2 papers)IEEE Access (2 papers)Computing (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Mingzhong Wang
57 papers receiving 931 citations
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 564
- Computer Networks and Communications 302
- Information Systems 263
- Signal Processing 99
- Transportation 45
Countries citing papers authored by Mingzhong Wang
This map shows the geographic impact of Mingzhong 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 Mingzhong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingzhong Wang more than expected).
Fields of papers citing papers by Mingzhong Wang
This network shows the impact of papers produced by Mingzhong 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 Mingzhong Wang. The network helps show where Mingzhong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingzhong 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 141 | |
| 2 | 2017 | 139 | |
| 3 | 2019 | 107 | |
| 4 | 2014 | 70 | |
| 5 | 2009 | 48 | |
| 6 | 2019 | 37 | |
| 7 | 2016 | 30 | |
| 8 | 2021 | 30 | |
| 9 | 2019 | 29 | |
| 10 | 2021 | 29 | |
| 11 | 2023 | 28 | |
| 12 | 2004 | 26 | |
| 13 | 2019 | 24 | |
| 14 | 2023 | 15 | |
| 15 | 2014 | 15 | |
| 16 | 2018 | 14 | |
| 17 | 2023 | 11 | |
| 18 | 2013 | 10 | |
| 19 | 2023 | 10 | |
| 20 | 2016 | 10 |
About Mingzhong Wang
Mingzhong Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 63 papers that have together received 960 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (5 papers), Distributed and Parallel Computing Systems (5 papers), Advanced Graph Neural Networks (5 papers), Scientific Computing and Data Management (5 papers), Human Mobility and Location-Based Analysis (5 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Music and Audio Processing (4 papers) and Adversarial Robustness in Machine Learning (4 papers). The work is most often cited by research in Artificial Intelligence (564 citations), Computer Networks and Communications (302 citations), Information Systems (263 citations), Signal Processing (99 citations) and Transportation (45 citations). Mingzhong Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Liehuang Zhu, Mingwei Wei, Meng Shen, Xin Li, Yu‐an Tan, Chang Liu, Rui Ye, Kotagiri Ramamohanarao, Jinjun Chen and Xin Li. Their work appears in journals such as Information Sciences, ACM Transactions on Information Systems, IEEE Access, Computing and Scientific Reports.
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.