Weike Wang
Impact in
- Applied Mathematics top 2%
- Navier-Stokes equation solutions
- Nonlinear Partial Differential Equations
- Mathematical Physics top 5%
- Advanced Mathematical Physics Problems
Papers in
-
- Security and Verification in Computing 14
- Cryptographic Implementations and Security 7
-
- Advanced Malware Detection Techniques 14
- Co-authors
- Tai-Ping Liu (1 shared paper)Tong Yang (2 shared papers)Kenji Nishihara (1 shared paper)Teresa T. Fung (3 shared papers)Fred K. Tabung (3 shared papers)Stephanie A. Smith‐Warner (3 shared papers)Edward L. Giovannucci (3 shared papers)Frank B. Hu (2 shared papers)
- Journals
- Electronics (2 papers)IEEE Access (2 papers)Journal of Differential Equations (2 papers)IEEE Communications Letters (1 paper)Communications in Mathematical Physics (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Weike Wang
41 papers receiving 648 citations
Peers
Comparison fields: 5 of 80
- Applied Mathematics 282
- Mathematical Physics 231
- Computational Mechanics 112
- Public Health, Environmental and Occupational Health 154
- Physiology 112
Countries citing papers authored by Weike Wang
This map shows the geographic impact of Weike 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 Weike Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weike Wang more than expected).
Fields of papers citing papers by Weike Wang
This network shows the impact of papers produced by Weike 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 Weike Wang. The network helps show where Weike Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Weike 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 181 | |
| 2 | 2016 | 103 | |
| 3 | 2000 | 95 | |
| 4 | 2018 | 62 | |
| 5 | 2018 | 36 | |
| 6 | 2003 | 25 | |
| 7 | 2015 | 21 | |
| 8 | 2018 | 20 | |
| 9 | 2021 | 19 | |
| 10 | 2019 | 16 | |
| 11 | 2021 | 13 | |
| 12 | 2022 | 8 | |
| 13 | 2016 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2007 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2017 | 5 | |
| 18 | 2015 | 4 | |
| 19 | 2017 | 4 | |
| 20 | 2020 | 4 |
About Weike Wang
Weike Wang is a scholar working on Artificial Intelligence, Signal Processing, Hardware and Architecture, Pharmacology and Electrical and Electronic Engineering, having authored 45 papers that have together received 678 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (14 papers), Security and Verification in Computing (14 papers), Fungal Biology and Applications (7 papers), Cryptographic Implementations and Security (7 papers), Physical Unclonable Functions (PUFs) and Hardware Security (5 papers), Advanced Mathematical Modeling in Engineering (4 papers), Diet and metabolism studies (3 papers) and Phytochemicals and Antioxidant Activities (3 papers). The work is most often cited by research in Applied Mathematics (282 citations), Mathematical Physics (231 citations), Computational Mechanics (112 citations), Public Health, Environmental and Occupational Health (154 citations) and Physiology (112 citations). Weike Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tai-Ping Liu, Tong Yang, Kenji Nishihara, Teresa T. Fung, Fred K. Tabung, Stephanie A. Smith‐Warner, Edward L. Giovannucci, Frank B. Hu, Charles S. Fuchs and Walter C. Willett. Their work appears in journals such as Electronics, IEEE Access, Journal of Differential Equations, IEEE Communications Letters and Communications in Mathematical Physics.
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.