Suguo Du
Impact in
-
- Opportunistic and Delay-Tolerant Networks
- Mobile Ad Hoc Networks
- Caching and Content Delivery
- Artificial Intelligence top 2%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
Papers in
-
- Mobile Ad Hoc Networks 7
- Opportunistic and Delay-Tolerant Networks 6
- Caching and Content Delivery 5
-
- Privacy-Preserving Technologies in Data 14
- Co-authors
- Haojin Zhu (33 shared papers)Mianxiong Dong (7 shared papers)Xuemin Shen (3 shared papers)Zhaoyu Gao (6 shared papers)Kaoru Ota (7 shared papers)Huaxin Li (2 shared papers)Xiaohui Liang (1 shared paper)Zhenfu Cao (3 shared papers)
In The Last Decade
Suguo Du
34 papers receiving 1.1k citations
Suguo Du's Hit Papers
Peers
Comparison fields: 5 of 78
- Computer Networks and Communications 557
- Artificial Intelligence 505
- Computer Science Applications 67
- Transportation 63
- Health Informatics 12
Countries citing papers authored by Suguo Du
This map shows the geographic impact of Suguo Du'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 Suguo Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suguo Du more than expected).
Fields of papers citing papers by Suguo Du
This network shows the impact of papers produced by Suguo Du. 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 Suguo Du. The network helps show where Suguo Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Suguo Du, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 157 | |
| 2 | A Federated Learning Based Privacy-Preserving Smart Healthcare System Hit paper breakdown → | 2021 | 156 |
| 3 | 2014 | 138 | |
| 4 | 2013 | 126 | |
| 5 | 2012 | 77 | |
| 6 | 2018 | 49 | |
| 7 | 2018 | 49 | |
| 8 | 2019 | 46 | |
| 9 | 2013 | 32 | |
| 10 | 2013 | 32 | |
| 11 | 2011 | 30 | |
| 12 | 2013 | 28 | |
| 13 | 2012 | 22 | |
| 14 | 2010 | 20 | |
| 15 | 2014 | 17 | |
| 16 | 2018 | 16 | |
| 17 | 2012 | 15 | |
| 18 | 2022 | 14 | |
| 19 | 2020 | 9 | |
| 20 | 2023 | 8 |
About Suguo Du
Suguo Du is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Sociology and Political Science and Signal Processing, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (14 papers), Privacy, Security, and Data Protection (8 papers), Vehicular Ad Hoc Networks (VANETs) (8 papers), Mobile Ad Hoc Networks (7 papers), Opportunistic and Delay-Tolerant Networks (6 papers), Caching and Content Delivery (5 papers), Advanced Malware Detection Techniques (5 papers) and Human Mobility and Location-Based Analysis (5 papers). The work is most often cited by research in Computer Networks and Communications (557 citations), Artificial Intelligence (505 citations), Computer Science Applications (67 citations), Transportation (63 citations) and Health Informatics (12 citations). Suguo Du has collaborated with scholars based in China, Canada and Japan. Frequent co-authors include Haojin Zhu, Mianxiong Dong, Xuemin Shen, Zhaoyu Gao, Kaoru Ota, Huaxin Li, Xiaohui Liang, Zhenfu Cao, Yan Meng and Man Lin. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, IEEE Wireless Communications and IEEE Access.
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.