Lansun Chen

11.3k citations
341 papers · 9.7k · h-index 50

Impact in

Papers in

Lansun Chen

338 papers receiving 9.2k citations

Peers

Lansun Chen
Comparison fields: 5 of 127
  • Modeling and Simulation 3.5k
  • Public Health, Environmental and Occupational Health 8.2k
  • Applied Mathematics 1.8k
  • Genetics 4.4k
  • Geometry and Topology 1.3k
Replace Hal L. Smith with:
Hal L. Smith United States
Yang Kuang United States
H. I. Freedman Canada
Shigui Ruan United States
Junping Shi United States
Xingfu Zou Canada
J. M. Cushing United States
Xiao‐Qiang Zhao Canada
Paul Waltman United States
Junjie Wei China
Lansun Chen relative to Hal L. Smith United States Hal L. Smith's profile →
Citations per field
00.5×1.5×1.9×
Hal L. Smith · 1×
Citations per year

Countries citing papers authored by Lansun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lansun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 341 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002313
2 2002260
3 1997260
4 2006259
5 1996247
6 2001199
7 2000182
8 2007168
9 2002124
10 2004122
11 2005114
12 2003106
13 2009100
14 200499
15 200298
16 200495
17 200793
18 200288
19 200487
20 200881

About Lansun Chen

Lansun Chen is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Modeling and Simulation, Applied Mathematics and Computer Networks and Communications, having authored 341 papers that have together received 9.7k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (319 papers), Evolution and Genetic Dynamics (162 papers), Nonlinear Differential Equations Analysis (59 papers), Advanced Differential Equations and Dynamical Systems (57 papers), Nonlinear Dynamics and Pattern Formation (55 papers), Mathematical Biology Tumor Growth (52 papers), Evolutionary Game Theory and Cooperation (48 papers) and Fractional Differential Equations Solutions (42 papers). The work is most often cited by research in Modeling and Simulation (3.5k citations), Public Health, Environmental and Occupational Health (8.2k citations), Applied Mathematics (1.8k citations), Genetics (4.4k citations) and Geometry and Topology (1.3k citations). Lansun Chen has collaborated with scholars based in China, Taiwan and United Kingdom. Frequent co-authors include Sanyi Tang, Xinzhu Meng, Jianjun Jiao, Xinyu Song, Xianning Liu, Shujing Gao, Juan J. Nieto, Shuwen Zhang, Wendi Wang and Yanni Xiao. Their work appears in journals such as Chaos Solitons & Fractals, Applied Mathematics and Computation, Nonlinear Dynamics, Nonlinear Analysis Real World Applications and Journal of Mathematical Analysis and 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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