Suguo Du

1.5k citations
34 papers · 1.1k indexed · 1 hit paper · h-index 16

Impact in

Papers in

Suguo Du

34 papers receiving 1.1k citations

Hit Papers

A Federated Learning Based Privacy-Preserving Smart Healthcare System 2021 · 156 citations
156202120262022202450100150

Peers

Suguo Du
Comparison fields: 5 of 78
  • Computer Networks and Communications 557
  • Artificial Intelligence 505
  • Computer Science Applications 67
  • Transportation 63
  • Health Informatics 12
Replace Hanine Tout with:
Hanine Tout Canada
Zuobin Ying China
Qiyang Zhao United Kingdom
Junggab Son South Korea
Wang Miao China
Xindi Ma China
Xizhao Luo China
Suguo Du relative to Hanine Tout Canada Hanine Tout's profile →
Citations per field
00.5×10×20×31.7×
Hanine Tout · 1×
Citations per year

Countries citing papers authored by Suguo Du

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Suguo Du Line = papers co-authored together Suguo Du links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2 20238
3 202214
4
A Federated Learning Based Privacy-Preserving Smart Healthcare System
Hit paper breakdown →
2021156
5 201946
6 201816
7 20176
8 201417
9 2014138
10 20133
11 201332
12 20131
13 2013126
14 201332
15 20133
16 20124
17 20121
18 201215
19 20115
20 201130

About Suguo Du

Suguo Du is a scholar working on Computer Networks and Communications, Transportation, Signal Processing, Artificial Intelligence and Information Systems, 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.

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