Dayong Ye
Impact in
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
- Energy Efficient Wireless Sensor Networks
- Artificial Intelligence top 2%
- Privacy-Preserving Technologies in Data
- Adversarial Robustness in Machine Learning
Papers in
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- Privacy-Preserving Technologies in Data 23
- Adversarial Robustness in Machine Learning 12
- Advanced Software Engineering Methodologies 7
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- Network Security and Intrusion Detection 9
- Peer-to-Peer Network Technologies 8
- Co-authors
- Minjie Zhang (22 shared papers)Wanlei Zhou (33 shared papers)Tianqing Zhu (31 shared papers)Yan Kong (5 shared papers)Danny Sutanto (9 shared papers)Philip S. Yu (8 shared papers)Athanasios V. Vasilakos (1 shared paper)Yanchun Wang (9 shared papers)
In The Last Decade
Dayong Ye
71 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 89
- Computer Networks and Communications 564
- Artificial Intelligence 552
- Information Systems 352
- Computer Science Applications 75
- Signal Processing 85
Countries citing papers authored by Dayong Ye
This map shows the geographic impact of Dayong Ye'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 Dayong Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dayong Ye more than expected).
Fields of papers citing papers by Dayong Ye
This network shows the impact of papers produced by Dayong Ye. 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 Dayong Ye. The network helps show where Dayong Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Dayong Ye, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 163 | |
| 2 | 2017 | 100 | |
| 3 | 2016 | 96 | |
| 4 | 2022 | 72 | |
| 5 | 2011 | 72 | |
| 6 | 2021 | 63 | |
| 7 | 2015 | 56 | |
| 8 | 2022 | 53 | |
| 9 | 2016 | 46 | |
| 10 | 2013 | 44 | |
| 11 | 2017 | 36 | |
| 12 | 2020 | 33 | |
| 13 | 2022 | 33 | |
| 14 | 2019 | 29 | |
| 15 | 2022 | 28 | |
| 16 | 2017 | 23 | |
| 17 | 2022 | 23 | |
| 18 | 2021 | 22 | |
| 19 | 2016 | 21 | |
| 20 | 2020 | 20 |
About Dayong Ye
Dayong Ye is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Sociology and Political Science and Computer Science Applications, having authored 75 papers that have together received 1.3k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (23 papers), Adversarial Robustness in Machine Learning (12 papers), Service-Oriented Architecture and Web Services (10 papers), Network Security and Intrusion Detection (9 papers), Mobile Crowdsensing and Crowdsourcing (9 papers), Peer-to-Peer Network Technologies (8 papers), Advanced Software Engineering Methodologies (7 papers) and Evolutionary Game Theory and Cooperation (6 papers). The work is most often cited by research in Computer Networks and Communications (564 citations), Artificial Intelligence (552 citations), Information Systems (352 citations), Computer Science Applications (75 citations) and Signal Processing (85 citations). Dayong Ye has collaborated with scholars based in Australia, Macao and China. Frequent co-authors include Minjie Zhang, Wanlei Zhou, Tianqing Zhu, Yan Kong, Danny Sutanto, Philip S. Yu, Athanasios V. Vasilakos, Yanchun Wang, Yun Yang and Qiang He. Their work appears in journals such as Knowledge-Based Systems, IEEE Transactions on Information Forensics and Security, IEEE Internet of Things Journal, IEEE Transactions on Dependable and Secure Computing and IEEE Transactions on Cybernetics.
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.