Xinan Zhang

1.3k citations
40 papers · 994 · h-index 17

Impact in

Papers in

Xinan Zhang

37 papers receiving 959 citations

Peers

Xinan Zhang
Comparison fields: 5 of 115
  • Modeling and Simulation 469
  • Public Health, Environmental and Occupational Health 576
  • Genetics 309
  • Marketing 66
  • Infectious Diseases 91
Replace Fatmawati Fatmawati with:
Fatmawati Fatmawati Indonesia
Laurent Hébert‐Dufresne United States
Luis Fernández López Brazil
Pierre Nouvellet United Kingdom
Jaline Gerardin United States
Olivia Prosper United States
Anne‐Sophie Lequarré Belgium
Yun Kang United States
Deborah Lacitignola Italy
Prime Mulembakani Democratic Republic of the Congo
Xinan Zhang relative to Fatmawati Fatmawati Indonesia Fatmawati Fatmawati's profile →
Citations per field
00.5×10×16.7×
Fatmawati Fatmawati · 1×
Citations per year

Countries citing papers authored by Xinan Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Xinan Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000184
2 201571
3 201567
4 201556
5 202055
6 201652
7 201451
8 201646
9 201443
10 201541
11 199940
12 201028
13 201528
14 201925
15 201520
16 202019
17 201919
18 201816
19 201614
20 201713

About Xinan Zhang

Xinan Zhang is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Genetics, Epidemiology and Infectious Diseases, having authored 40 papers that have together received 994 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (21 papers), COVID-19 epidemiological studies (13 papers), Evolution and Genetic Dynamics (10 papers), Mathematical Biology Tumor Growth (8 papers), Influenza Virus Research Studies (4 papers), Immune Cell Function and Interaction (3 papers), Viral Infections and Vectors (3 papers) and Animal Disease Management and Epidemiology (3 papers). The work is most often cited by research in Modeling and Simulation (469 citations), Public Health, Environmental and Occupational Health (576 citations), Genetics (309 citations), Marketing (66 citations) and Infectious Diseases (91 citations). Xinan Zhang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lansun Chen, Shigui Ruan, Sanhong Liu, Avidan U. Neumann, Liuyong Pang, Tianhai Tian, Gong Sun, Jie Li, Jicai Huang and Yong Li. Their work appears in journals such as Journal of Biological Dynamics, Applied Mathematics and Computation, Discrete and Continuous Dynamical Systems - B, Mathematical Biosciences and International Journal of Biomathematics.

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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