Cui-Ping Cheng

421 citations
14 papers · 350 · h-index 6

Impact in

Papers in

Cui-Ping Cheng

13 papers receiving 339 citations

Peers

Cui-Ping Cheng
Comparison fields: 5 of 67
  • Modeling and Simulation 44
  • Endocrinology, Diabetes and Metabolism 138
  • Aquatic Science 60
  • Physiology 34
  • Numerical Analysis 31
Replace Romain Yvinec with:
Romain Yvinec France
Anamika Sarkar United States
K Sriram India
Josef Wittmann Germany
Mackenzie Smith Canada
Hideki Murakawa Japan
Stephen Baigent United Kingdom
Kyle C. A. Wedgwood United Kingdom
Gabriel Stölting Germany
Fangfang Jiang China
Cui-Ping Cheng relative to Romain Yvinec France Romain Yvinec's profile →
Citations per field
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Romain Yvinec · 1×
Citations per year

Countries citing papers authored by Cui-Ping Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Cui-Ping Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cui-Ping Cheng. 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 Cui-Ping Cheng. The network helps show where Cui-Ping Cheng may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1995160
2
Positive solutions of fractional differential equations with derivative terms
201275
3 200438
4 199525
5 201017
6 200310
7 20175
8 20085
9 20125
10 20173
11 20143
12 20132
13 20162
14 20160

About Cui-Ping Cheng

Cui-Ping Cheng is a scholar working on Modeling and Simulation, Numerical Analysis, Public Health, Environmental and Occupational Health, Mathematical Physics and Endocrinology, Diabetes and Metabolism, having authored 14 papers that have together received 350 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (8 papers), Differential Equations and Numerical Methods (4 papers), Stochastic processes and statistical mechanics (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Fractional Differential Equations Solutions (2 papers), Nonlinear Differential Equations Analysis (2 papers) and Mathematical Biology Tumor Growth (2 papers). The work is most often cited by research in Modeling and Simulation (44 citations), Endocrinology, Diabetes and Metabolism (138 citations), Aquatic Science (60 citations), Physiology (34 citations) and Numerical Analysis (31 citations). Cui-Ping Cheng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Michael J. Shamblott, David E Bolt, Youhui Su, Zhaosheng Feng, Wan‐Tong Li, Zhi‐Cheng Wang, Carolyn A. Bondy, Jianqing Zhou, Cynthia Shannon Weickert and Anne M. Smith. Their work appears in journals such as International Journal of Bifurcation and Chaos, Nonlinear Analysis Real World Applications, Discrete and Continuous Dynamical Systems - B, Journal of Endocrinology and Applied Mathematics and Computation.

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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