Yi Shen

929 total citations
41 papers, 744 citations indexed

About

Yi Shen is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Yi Shen has authored 41 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistical and Nonlinear Physics, 17 papers in Computer Networks and Communications and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Yi Shen's work include Complex Network Analysis Techniques (20 papers), Opinion Dynamics and Social Influence (10 papers) and Neural Networks Stability and Synchronization (7 papers). Yi Shen is often cited by papers focused on Complex Network Analysis Techniques (20 papers), Opinion Dynamics and Social Influence (10 papers) and Neural Networks Stability and Synchronization (7 papers). Yi Shen collaborates with scholars based in China, United States and Hong Kong. Yi Shen's co-authors include Leimin Wang, Jun Wang, Gang Ren, Bin Ran, Guodong Zhang, Zhixia Ding, Kangli Wang, Kai Jiang, Wenjiang Pei and Sheng Wang and has published in prestigious journals such as Applied Energy, Physics Letters A and Energy storage materials.

In The Last Decade

Yi Shen

36 papers receiving 707 citations

Peers

Yi Shen
Comparison fields: 5 of 63
  • Computer Networks and Communications 477
  • Statistical and Nonlinear Physics 339
  • Electrical and Electronic Engineering 292
  • Artificial Intelligence 138
  • Control and Systems Engineering 117
Replace Zhenbin Du with:
Zhenbin Du China
Min Xue United States
Zheng Dong United States
Caixia Yang China
HE Guo-guang China
Gangquan Si China
Chunyu Wang China
Boudour Ammar Tunisia
Madhushi Verma India
Suhua Tang Japan
Zhenbin Du China View profile →
Citations per field, relative to Yi Shen
Yi Shen · 1×
Citations per year, relative to Yi Shen
Yi Shen · 1×

Countries citing papers authored by Yi Shen

Since Specialization
Citations

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

Fields of papers citing papers by Yi Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Shen. A scholar is included among the top collaborators of Yi Shen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yi Shen. Yi Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 2
3 30
4 17
5 32
6 0
7 22
8 0
9 20
10 0
11 2
12 53
13 4
14 78
15 5
16 1
17 5
18 4
19 5
20 103

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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