Shaofu Yang

2.6k citations
54 papers · 2.1k · h-index 19

Impact in

Papers in

Shaofu Yang

52 papers receiving 2.0k citations

Peers

Shaofu Yang
Comparison fields: 5 of 64
  • Computer Networks and Communications 1.7k
  • Statistical and Nonlinear Physics 446
  • Control and Systems Engineering 381
  • Computational Theory and Mathematics 205
  • Electrical and Electronic Engineering 622
Replace Bahman Gharesifard with:
Bahman Gharesifard United States
Sitian Qin China
Nicola Elia United States
Eloy García United States
Wenbing Zhang China
Solmaz S. Kia United States
Xianlin Zeng China
Yong Kang Xu China
Yuanqing Wu China
Xisheng Zhan China
Shaofu Yang relative to Bahman Gharesifard United States Bahman Gharesifard's profile →
Citations per field
00.5×2×2.8×
Bahman Gharesifard · 1×
Citations per year

Countries citing papers authored by Shaofu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shaofu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016257
2 2016230
3 2016207
4 2015191
5 2017150
6 2017142
7 2014139
8 201675
9 201867
10 201858
11 201857
12 201655
13 201848
14 201247
15 201838
16 201533
17 201633
18 201931
19 202221
20 202217

About Shaofu Yang

Shaofu Yang is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Public Health, Environmental and Occupational Health, Artificial Intelligence and Computational Theory and Mathematics, having authored 54 papers that have together received 2.1k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (33 papers), Neural Networks Stability and Synchronization (24 papers), Mathematical and Theoretical Epidemiology and Ecology Models (12 papers), Nonlinear Dynamics and Pattern Formation (8 papers), stochastic dynamics and bifurcation (8 papers), Cooperative Communication and Network Coding (7 papers), Stochastic Gradient Optimization Techniques (5 papers) and Advanced Memory and Neural Computing (4 papers). The work is most often cited by research in Computer Networks and Communications (1.7k citations), Statistical and Nonlinear Physics (446 citations), Control and Systems Engineering (381 citations), Computational Theory and Mathematics (205 citations) and Electrical and Electronic Engineering (622 citations). Shaofu Yang has collaborated with scholars based in China, Hong Kong and Qatar. Frequent co-authors include Jun Wang, Qingshan Liu, Zhenyuan Guo, Tingwen Huang, Yiguang Hong, Jinde Cao, Shuqing Gong, Wenying Xu, Xiaoxuan Wang and Jianquan Lu. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Neural Networks, IEEE Transactions on Automatic Control, IEEE Transactions on Systems Man and Cybernetics Systems and IEEE Transactions on Emerging Topics in Computational Intelligence.

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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