Ercai Chen

633 citations
67 papers · 347 · h-index 11

Impact in

Papers in

Ercai Chen

48 papers receiving 331 citations

Peers

Ercai Chen
Comparison fields: 5 of 31
  • Mathematical Physics 328
  • Geometry and Topology 92
  • Statistical and Nonlinear Physics 122
  • Computational Theory and Mathematics 48
  • Applied Mathematics 28
Replace Huyi Hu with:
Huyi Hu United States
Paulo Varandas Brazil
Ai Hua Fan France
Yongluo Cao China
Weixiao Shen China
Ľubomír Snoha Slovakia
Marek Rychlik United States
Shaobo Gan China
Antti Käenmäki Finland
Jonathan M. Fraser United Kingdom
Ercai Chen relative to Huyi Hu United States Huyi Hu's profile →
Citations per field
00.5×4.2×
Huyi Hu · 1×
Citations per year

Countries citing papers authored by Ercai Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ercai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Ercai Chen, 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 Ercai Chen Line = papers co-authored together Ercai Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200557
2 201629
3 199921
4 201314
5 201614
6 201013
7 201712
8 200912
9 201212
10 201511
11 201411
12 201310
13 202210
14 20228
15 20187
16 19977
17 20126
18 20066
19 20146
20 20246

About Ercai Chen

Ercai Chen is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics, Geometry and Topology, Computational Theory and Mathematics and Applied Mathematics, having authored 67 papers that have together received 347 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (63 papers), Chaos control and synchronization (20 papers), Quantum chaos and dynamical systems (14 papers), Geometric Analysis and Curvature Flows (9 papers), Advanced Topology and Set Theory (9 papers), Cellular Automata and Applications (6 papers), Topological and Geometric Data Analysis (4 papers) and Complex Systems and Time Series Analysis (4 papers). The work is most often cited by research in Mathematical Physics (328 citations), Geometry and Topology (92 citations), Statistical and Nonlinear Physics (122 citations), Computational Theory and Mathematics (48 citations) and Applied Mathematics (28 citations). Ercai Chen has collaborated with scholars based in China, Taiwan and Germany. Frequent co-authors include Dongmei Zheng, Zhenzhen Yan, Dou Dou, Yunping Wang, Yaqing Zhang, Yuan Li, Ping Huang, Qian Li, Ting Wu and Yong Gu Ji. Their work appears in journals such as Dynamical Systems, Discrete and Continuous Dynamical Systems, Ergodic Theory and Dynamical Systems, Stochastics and Dynamics and Nonlinearity.

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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