Dejun Fan

553 citations
30 papers · 460 · h-index 12

Impact in

Papers in

Dejun Fan

30 papers receiving 440 citations

Peers

Dejun Fan
Comparison fields: 5 of 50
  • Modeling and Simulation 168
  • Statistical and Nonlinear Physics 141
  • Public Health, Environmental and Occupational Health 252
  • Computer Networks and Communications 188
  • Genetics 139
Replace Xuebing Zhang with:
Xuebing Zhang China
Javad Alidousti Iran
Yuanfu Shao China
Ting‐Hui Yang Taiwan
Hongbin Wang China
Mohammed-Salah Abdelouahab Algeria
Haijun Hu China
Feng Rao China
Zhanji Gui China
Zhichun Yang China
Dejun Fan relative to Xuebing Zhang China Xuebing Zhang's profile →
Citations per field
00.5×1.5×
Xuebing Zhang · 1×
Citations per year

Countries citing papers authored by Dejun Fan

Since Specialization
Citations

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

Fields of papers citing papers by Dejun Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Dejun Fan, 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 Dejun Fan Line = papers co-authored together Dejun Fan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011131
2 200638
3 200935
4 201025
5 202125
6 200724
7 201522
8 201321
9 200916
10 201313
11 200612
12 202311
13 20239
14 20139
15 20218
16 20137
17 20237
18 20127
19 20096
20 20136

About Dejun Fan

Dejun Fan is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Genetics, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 30 papers that have together received 460 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (21 papers), Evolution and Genetic Dynamics (13 papers), Neural Networks Stability and Synchronization (6 papers), Fractional Differential Equations Solutions (6 papers), Mathematical Biology Tumor Growth (5 papers), Nonlinear Differential Equations Analysis (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers) and COVID-19 epidemiological studies (4 papers). The work is most often cited by research in Modeling and Simulation (168 citations), Statistical and Nonlinear Physics (141 citations), Public Health, Environmental and Occupational Health (252 citations), Computer Networks and Communications (188 citations) and Genetics (139 citations). Dejun Fan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Junjie Wei, Hongying Shu, Ling Hong, Chuncheng Wang, Yujia Wang, Xiaoling Zou, Sitian Qin, Ke Wang, Ke Wang and Lijun Zhao. Their work appears in journals such as Communications in Nonlinear Science and Numerical Simulation, International Journal of Bifurcation and Chaos, Discrete and Continuous Dynamical Systems - B, International Journal of Biomathematics and Nonlinear Analysis Real World 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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