Su Deng

519 citations
65 papers · 362 · h-index 10

Impact in

Papers in

Su Deng

58 papers receiving 351 citations

Peers

Su Deng
Comparison fields: 5 of 88
  • Computational Mathematics 7
  • Computer Networks and Communications 156
  • Computer Science Applications 21
  • Statistical and Nonlinear Physics 40
  • Cancer Research 33
Replace J. Y. Shi with:
J. Y. Shi Hong Kong
Feng Lu China
Kenji Yoshigoe United States
Yanglan Gan China
Rong Jin United States
Yinghong Ma China
Tianxi Li United States
Zaobo He United States
Huizhi Liang United Kingdom
Su Deng relative to J. Y. Shi Hong Kong J. Y. Shi's profile →
Citations per field
00.5×2.7×
J. Y. Shi · 1×
Citations per year

Countries citing papers authored by Su Deng

Since Specialization
Citations

This map shows the geographic impact of Su Deng'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 Su Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Deng more than expected).

Fields of papers citing papers by Su Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su Deng. 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 Su Deng. The network helps show where Su Deng may publish in the future.

Co-authors

The 25 scholars most cited alongside Su Deng, 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 Su Deng Line = papers co-authored together Su Deng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201939
2 201229
3 200824
4 201416
5 202315
6 202115
7 202015
8 202213
9 201913
10 202212
11 20049
12 20179
13 20178
14 20138
15
Cyber-physical System Architecture Design
20118
16
Career Counseling for College Students
20027
17 20127
18 20197
19 20146
20 20196

About Su Deng

Su Deng is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics and Signal Processing, having authored 65 papers that have together received 362 indexed citations. Recurring topics across this work include Opportunistic and Delay-Tolerant Networks (25 papers), Mobile Ad Hoc Networks (19 papers), Caching and Content Delivery (18 papers), Complex Network Analysis Techniques (6 papers), Privacy-Preserving Technologies in Data (5 papers), Age of Information Optimization (5 papers), Advanced Computational Techniques and Applications (5 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). The work is most often cited by research in Computational Mathematics (7 citations), Computer Networks and Communications (156 citations), Computer Science Applications (21 citations), Statistical and Nonlinear Physics (40 citations) and Cancer Research (33 citations). Su Deng has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yahui Wu, Hongbin Huang, Fengming Yan, Chongren Xu, Rui Wang, Guiyuan Li, Can Guo, Zhaoyang Zeng, Wei Xiong and Xiaoling Li. Their work appears in journals such as IEEE Systems Journal, IEEE Transactions on Industrial Informatics, PLoS ONE, Communications in Nonlinear Science and Numerical Simulation 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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