Renyu Ye

481 citations
21 papers · 387 · h-index 11

Impact in

Papers in

Renyu Ye

19 papers receiving 381 citations

Peers

Renyu Ye
Comparison fields: 5 of 38
  • Statistical and Nonlinear Physics 192
  • Modeling and Simulation 72
  • Computer Networks and Communications 299
  • Artificial Intelligence 164
  • Control and Systems Engineering 52
Replace Trayan Stamov with:
Trayan Stamov Bulgaria
C. Maharajan India
C. Sowmiya India
Qinghua Zhou China
Huaiqin Wu China
Hao Yin China
Yao Xu China
Yajuan Gu China
Zhilong He China
Vijay K. Yadav India
Renyu Ye relative to Trayan Stamov Bulgaria Trayan Stamov's profile →
Citations per field
00.5×1.5×2.3×
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Citations per year

Countries citing papers authored by Renyu Ye

Since Specialization
Citations

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

Fields of papers citing papers by Renyu Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Renyu Ye, 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 Renyu Ye Line = papers co-authored together Renyu Ye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201764
2 201855
3 201753
4 201850
5 201748
6 202321
7 202317
8 201717
9 202314
10 202311
11 202310
12 202310
13 20225
14 20203
15 20233
16 20242
17 20202
18 20251
19 20241
20 20240

About Renyu Ye

Renyu Ye is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Artificial Intelligence, Modeling and Simulation and Computational Theory and Mathematics, having authored 21 papers that have together received 387 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (19 papers), Neural Networks and Applications (10 papers), stochastic dynamics and bifurcation (9 papers), Nonlinear Dynamics and Pattern Formation (7 papers), Fractional Differential Equations Solutions (5 papers), Advanced Memory and Neural Computing (2 papers), Stability and Controllability of Differential Equations (1 paper) and Probability and Risk Models (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (192 citations), Modeling and Simulation (72 citations), Computer Networks and Communications (299 citations), Artificial Intelligence (164 citations) and Control and Systems Engineering (52 citations). Renyu Ye has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Hai Zhang, Jinde Cao, Xiaodi Li, Xinsheng Liu, Ivanka Stamova, Ahmed Alsaedi, Ahmad Alsaedi, Ying Wan, Chen Wang and Ahmed Alsaedi. Their work appears in journals such as Mathematics and Computers in Simulation, Neural Processing Letters, Communications in Nonlinear Science and Numerical Simulation, Asian Journal of Control and International Journal of Systems Science.

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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