Jia‐Bing Wang

1.1k citations
67 papers · 779 · h-index 16

Impact in

Papers in

Jia‐Bing Wang

66 papers receiving 757 citations

Peers

Jia‐Bing Wang
Comparison fields: 5 of 111
  • Modeling and Simulation 234
  • Public Health, Environmental and Occupational Health 459
  • Genetics 288
  • Applied Mathematics 111
  • Mathematical Physics 54
Replace Fengyan Wang with:
Fengyan Wang China
Jianwen Jia China
B. Shi China
Yuting Ding China
Magali Ribot France
Alessandra Micheletti Italy
Nabil T. Fadai United Kingdom
Xiao He China
Swati Yadav India
Jia‐Bing Wang relative to Fengyan Wang China Fengyan Wang's profile →
Citations per field
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Fengyan Wang · 1×
Citations per year

Countries citing papers authored by Jia‐Bing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jia‐Bing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jia‐Bing Wang. 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 Jia‐Bing Wang. The network helps show where Jia‐Bing Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201871
2 202055
3 197755
4 201545
5 202136
6
SPATIAL DYNAMICS OF A NONLOCAL DISPERSAL VECTOR DISEASE MODEL WITH SPATIO-TEMPORAL DELAY
201535
7 201933
8 201532
9 202230
10 201924
11 202021
12 202319
13 200419
14 201718
15 201816
16 202215
17 201815
18 201614
19 202114
20 202113

About Jia‐Bing Wang

Jia‐Bing Wang is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Modeling and Simulation, Pulmonary and Respiratory Medicine and Applied Mathematics, having authored 67 papers that have together received 779 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (34 papers), Evolution and Genetic Dynamics (21 papers), Mathematical Biology Tumor Growth (9 papers), Nonlinear Differential Equations Analysis (8 papers), Fractional Differential Equations Solutions (5 papers), Evolutionary Game Theory and Cooperation (5 papers), COVID-19 epidemiological studies (4 papers) and Advanced Mathematical Physics Problems (4 papers). The work is most often cited by research in Modeling and Simulation (234 citations), Public Health, Environmental and Occupational Health (459 citations), Genetics (288 citations), Applied Mathematics (111 citations) and Mathematical Physics (54 citations). Jia‐Bing Wang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Wan‐Tong Li, Xiao‐Qiang Zhao, Chufen Wu, Fei-Ying Yang, J L Marshall, Xin-Chen Hong, Yuning Cheng, Jiang Liu, Gang Zhao and Jian‐Wen Sun. Their work appears in journals such as Journal of Differential Equations, Cancer Research, Applied Mathematics Letters, Discrete and Continuous Dynamical Systems - B and Regulatory Peptides.

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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