Suguo Du

1.6k citations
39 papers · 1.3k · 1 hit paper · h-index 18

Impact in

Papers in

Suguo Du

39 papers receiving 1.2k citations

Suguo Du's Hit Papers

A Federated Learning Based Privacy-Preserving Smart Healthcare System 2021 · 179 citations
1790+1+3Years since publication50100150

Peers

Suguo Du
Comparison fields: 5 of 82
  • Computer Networks and Communications 618
  • Artificial Intelligence 582
  • Computer Science Applications 73
  • Health Informatics 15
  • Transportation 69
Replace Hanine Tout with:
Hanine Tout Canada
Zuobin Ying China
Linqi Song Hong Kong
Junggab Son South Korea
Yue Tan China
Adnan Mahmood Australia
Ηλίας Τράγος Greece
Gaoyang Liu China
Ezedin Barka United Arab Emirates
Suguo Du relative to Hanine Tout Canada Hanine Tout's profile →
Citations per field
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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-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.

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

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Federated Learning Based Privacy-Preserving Smart Healthcare System
Hit paper breakdown →
2021179
2 2016179
3 2014143
4 2013136
5 201285
6 201854
7 201853
8 201948
9 201341
10 201334
11 201133
12 201330
13 201930
14 201225
15 201024
16 201420
17 201218
18 202217
19 201816
20 201914

About Suguo Du

Suguo Du is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Sociology and Political Science and Information Systems, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (17 papers), Vehicular Ad Hoc Networks (VANETs) (9 papers), Privacy, Security, and Data Protection (9 papers), Mobile Ad Hoc Networks (7 papers), Opportunistic and Delay-Tolerant Networks (6 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Advanced Malware Detection Techniques (6 papers) and Human Mobility and Location-Based Analysis (5 papers). The work is most often cited by research in Computer Networks and Communications (618 citations), Artificial Intelligence (582 citations), Computer Science Applications (73 citations), Health Informatics (15 citations) and Transportation (69 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, Huaxin Li, Kaoru Ota, Xiaohui Liang, Zhenfu Cao, Yan Meng and Qingqi Pei. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, IEEE Transactions on Parallel and Distributed Systems and IEEE Security & Privacy.

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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