Chuanjun Dai

767 citations
64 papers · 531 indexed · h-index 13

Impact in

Papers in

Chuanjun Dai

61 papers receiving 514 citations

Peers

Chuanjun Dai
Comparison fields: 5 of 77
  • Modeling and Simulation 122
  • Public Health, Environmental and Occupational Health 310
  • Oceanography 72
  • Industrial and Manufacturing Engineering 45
  • Genetics 145
Replace Hengguo Yu with:
Hengguo Yu China
Dung Quang Le Malaysia
Yadigar Sekerci Türkiye
P. Fergola Italy
Francis Mairet France
Maitri Verma India
Zeyan Wu China
C. E. Clark United States
Guillaume Kon Kam King France
Б. В. Адамович Belarus
Chuanjun Dai relative to Hengguo Yu China Hengguo Yu's profile →
Citations per field
00.5×4.1×
Hengguo Yu · 1×
Citations per year

Countries citing papers authored by Chuanjun Dai

Since Specialization
Citations

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

Fields of papers citing papers by Chuanjun Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202355
4 20235
5 20237
6 20234
7 20229
8 20224
9 20214
10 20214
11 20218
12 202017
13 20203
14 20203
15 201913
16 20151
17 20155
18 20143
19 20145
20 20135

About Chuanjun Dai

Chuanjun Dai is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Computer Networks and Communications, Global and Planetary Change and Oceanography, having authored 64 papers that have together received 531 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (49 papers), Nonlinear Dynamics and Pattern Formation (23 papers), Evolution and Genetic Dynamics (22 papers), Ecosystem dynamics and resilience (20 papers), Mathematical Biology Tumor Growth (15 papers), Marine and coastal ecosystems (11 papers), Aquatic Ecosystems and Phytoplankton Dynamics (8 papers) and Advanced Differential Equations and Dynamical Systems (4 papers). The work is most often cited by research in Modeling and Simulation (122 citations), Public Health, Environmental and Occupational Health (310 citations), Oceanography (72 citations), Industrial and Manufacturing Engineering (45 citations) and Genetics (145 citations). Chuanjun Dai has collaborated with scholars based in China, Canada and India. Frequent co-authors include Min Zhao, Hengguo Yu, Min Zhao, Lansun Chen, Zengling Ma, Qi Wang, Qing Guo, Jianbing Li, Dezhao Liu and Yì Wáng. Their work appears in journals such as Mathematical Biosciences & Engineering, Abstract and Applied Analysis, Complexity, Mathematics and Computers in Simulation and Advances in Difference Equations.

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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