Yuming Chen

2.7k citations
143 papers · 2.1k indexed · h-index 25

Impact in

    • Fractional Differential Equations Solutions
    • COVID-19 epidemiological studies
    • Mathematical Biology Tumor Growth
    • Nonlinear Differential Equations Analysis

Papers in

Yuming Chen

136 papers receiving 2.0k citations

Peers

Yuming Chen
Comparison fields: 5 of 120
  • Modeling and Simulation 871
  • Applied Mathematics 492
  • Public Health, Environmental and Occupational Health 1.3k
  • Numerical Analysis 163
  • Genetics 659
Replace Hai‐Feng Huo with:
Hai‐Feng Huo China
Wenzhang Huang United States
Tongqian Zhang China
Xinzhu Meng China
Fathalla A. Rihan United Arab Emirates
Stephen A. Gourley United Kingdom
Salih Djilali Algeria
Zhidong Teng China
Xinyu Song China
S. Blythe United Kingdom
Yuming Chen relative to Hai‐Feng Huo China Hai‐Feng Huo's profile →
Citations per field
00.5×1.7×
Hai‐Feng Huo · 1×
Citations per year

Countries citing papers authored by Yuming Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yuming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20241
5 20244
6 20233
7 20235
8 20234
9 20231
10 20222
11 20222
12 201932
13 20198
14 20186
15 20188
16 20178
17 20156
18 200779
19 20066
20 20032

About Yuming Chen

Yuming Chen is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Genetics, Applied Mathematics and Numerical Analysis, having authored 143 papers that have together received 2.1k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (109 papers), Evolution and Genetic Dynamics (65 papers), COVID-19 epidemiological studies (34 papers), Nonlinear Differential Equations Analysis (20 papers), Mathematical Biology Tumor Growth (20 papers), Evolutionary Game Theory and Cooperation (11 papers), Fractional Differential Equations Solutions (11 papers) and Neural Networks Stability and Synchronization (9 papers). The work is most often cited by research in Modeling and Simulation (871 citations), Applied Mathematics (492 citations), Public Health, Environmental and Occupational Health (1.3k citations), Numerical Analysis (163 citations) and Genetics (659 citations). Yuming Chen has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Jian Wu, Junyuan Yang, Xiao‐Bao Shu, Yongzeng Lai, Fengqin Zhang, Zhan Zhou, Taishan Yi, Lin Wang, De Tang and Jianquan Li. Their work appears in journals such as Applied Mathematics Letters, Journal of Differential Equations, Journal of Biological Dynamics, Mathematical Methods in the Applied Sciences and Mathematical Biosciences & Engineering.

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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