Yu Ren

402 citations
26 papers · 293 · h-index 12

Impact in

Papers in

Yu Ren

25 papers receiving 278 citations

Peers

Yu Ren
Comparison fields: 5 of 58
  • Statistical and Nonlinear Physics 160
  • Computer Vision and Pattern Recognition 78
  • Computer Networks and Communications 68
  • Global and Planetary Change 52
  • Ecology 43
Replace John M. Harris with:
John M. Harris United States
Robbert Fokkink Netherlands
H. Hoffmann Germany
Hironori Hirata Japan
Valérie Girardin France
Yogesh Virkar United States
Alejandro Ramírez-Rojas Mexico
K. Hauke Kraemer Germany
Adonios Thanailakis Greece
John Patchett United States
Yu Ren relative to John M. Harris United States John M. Harris's profile →
Citations per field
00.5×8.9×
John M. Harris · 1×
Citations per year

Countries citing papers authored by Yu Ren

Since Specialization
Citations

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

Fields of papers citing papers by Yu Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202135
2 202329
3 202125
4 202224
5 202320
6 202219
7 202319
8 202218
9 202315
10 202315
11 202215
12 202311
13 202210
14 20136
15 20225
16 20234
17 20234
18 20144
19 20224
20 20233

About Yu Ren

Yu Ren is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Ecology, Global and Planetary Change and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 293 indexed citations. Recurring topics across this work include Chaos control and synchronization (11 papers), stochastic dynamics and bifurcation (8 papers), Nonlinear Dynamics and Pattern Formation (5 papers), Land Use and Ecosystem Services (5 papers), Remote Sensing in Agriculture (5 papers), Chaos-based Image/Signal Encryption (4 papers), Advanced Memory and Neural Computing (3 papers) and Fractal and DNA sequence analysis (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (160 citations), Computer Vision and Pattern Recognition (78 citations), Computer Networks and Communications (68 citations), Global and Planetary Change (52 citations) and Ecology (43 citations). Yu Ren has collaborated with scholars based in China, Hong Kong and Mongolia. Frequent co-authors include Shaohui Yan, Qiyu Wang, Xidong Chen, Xiangjun Liu, Bo Zhang, Bo Zhang, Yue Qin, Yu Cui, Jianjian Wang and Yuyan Zhang. Their work appears in journals such as Remote Sensing, International Journal of Bifurcation and Chaos, Nonlinear Dynamics, Mathematics and Computers in Simulation and Physica A Statistical Mechanics and its Applications.

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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