Wang Yao
Impact in
- Artificial Intelligence top 5%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Cryptographic Implementations and Security
- Information Systems top 5%
- Cloud Data Security Solutions
- Blockchain Technology Applications and Security
Papers in
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- Cryptography and Data Security 7
- Privacy-Preserving Technologies in Data 5
- Cryptographic Implementations and Security 3
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- Network Security and Intrusion Detection 4
- Co-authors
- Yichen Zhang (1 shared paper)Jinguang Han (1 shared paper)Jiguo Li (1 shared paper)Zhiming Zheng (6 shared papers)Hongwu Tang (1 shared paper)Hao Wang (1 shared paper)Xiao Zhang (4 shared papers)R. H. Victora (1 shared paper)
In The Last Decade
Wang Yao
45 papers receiving 579 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 285
- Information Systems 145
- Computer Vision and Pattern Recognition 111
- Computational Theory and Mathematics 75
- Soil Science 37
Countries citing papers authored by Wang Yao
This map shows the geographic impact of Wang Yao'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 Wang Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Yao more than expected).
Fields of papers citing papers by Wang Yao
This network shows the impact of papers produced by Wang Yao. 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 Wang Yao. The network helps show where Wang Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang Yao, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 164 | |
| 2 | 2016 | 67 | |
| 3 | 2021 | 58 | |
| 4 | 2015 | 40 | |
| 5 | 2017 | 29 | |
| 6 | 2012 | 29 | |
| 7 | 2022 | 14 | |
| 8 | 2021 | 12 | |
| 9 | 2021 | 12 | |
| 10 | 2016 | 11 | |
| 11 | 2020 | 11 | |
| 12 | 2023 | 9 | |
| 13 | 2014 | 9 | |
| 14 | 2018 | 9 | |
| 15 | 2018 | 8 | |
| 16 | 2018 | 8 | |
| 17 | 2013 | 8 | |
| 18 | 2018 | 7 | |
| 19 | 2016 | 7 | |
| 20 | 2022 | 6 |
About Wang Yao
Wang Yao is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Aerospace Engineering, having authored 51 papers that have together received 596 indexed citations. Recurring topics across this work include Cryptography and Data Security (7 papers), Privacy-Preserving Technologies in Data (5 papers), Network Security and Intrusion Detection (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers), Complexity and Algorithms in Graphs (4 papers), Guidance and Control Systems (3 papers), Robotic Path Planning Algorithms (3 papers) and Cryptographic Implementations and Security (3 papers). The work is most often cited by research in Artificial Intelligence (285 citations), Information Systems (145 citations), Computer Vision and Pattern Recognition (111 citations), Computational Theory and Mathematics (75 citations) and Soil Science (37 citations). Wang Yao has collaborated with scholars based in China, Australia and Austria. Frequent co-authors include Yichen Zhang, Jinguang Han, Jiguo Li, Zhiming Zheng, Hongwu Tang, Hao Wang, Xiao Zhang, R. H. Victora, Sujoy Sinha Roy and David Oswald. Their work appears in journals such as IEEE Transactions on Network Science and Engineering, PLoS ONE, Journal of Natural Gas Science and Engineering, IEEE Transactions on Services Computing and Chemical Communications.
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.