Xiao‐Bing Zhang
- Public Health, Environmental and Occupational Health top 5%
- Modeling and Simulation top 1%
- Genetics top 10%
- Computer Networks and Communications
- Applied Mathematics top 10%
- Co-authors
- Hai‐Feng HuoXin-You MengHong XiangQihong ShiXiaodong WangLiang ZhangShitao LiuAibing Li
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (22 papers)Evolution and Genetic Dynamics (13 papers)COVID-19 epidemiological studies (11 papers)
- Journals
- Angewandte Chemie International EditionSHILAP Revista de lepidopterologíaAdvanced Functional Materials
- Partner nations
- ChinaIndiaUnited States
In The Last Decade
Xiao‐Bing Zhang
31 papers receiving 516 citations
Peers
Comparison fields: 5 of 71
- Public Health, Environmental and Occupational Health 439
- Modeling and Simulation 321
- Genetics 220
- Computer Networks and Communications 58
- Applied Mathematics 45
Countries citing papers authored by Xiao‐Bing Zhang
This map shows the geographic impact of Xiao‐Bing 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 Xiao‐Bing Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao‐Bing Zhang more than expected).
Fields of papers citing papers by Xiao‐Bing Zhang
This network shows the impact of papers produced by Xiao‐Bing 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 Xiao‐Bing Zhang. The network helps show where Xiao‐Bing Zhang may publish in the future.
Co-authorship network of co-authors of Xiao‐Bing Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiao‐Bing Zhang. A scholar is included among the top collaborators of Xiao‐Bing Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiao‐Bing Zhang. Xiao‐Bing Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 11 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 10 | |
| 9 | 36 | |
| 10 | Dynamic behavior of a stochastic SIR epidemic model with vertical transmission | 5 |
| 11 | 6 | |
| 12 | 52 | |
| 13 | 41 | |
| 14 | 11 | |
| 15 | 40 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 27 | |
| 19 | 3 | |
| 20 | 9 |
About Xiao‐Bing Zhang
Xiao‐Bing Zhang is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics, having authored 33 papers that have together received 539 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (22 papers), Evolution and Genetic Dynamics (13 papers) and COVID-19 epidemiological studies (11 papers). The work is most often cited by research in Modeling and Simulation (321 citations), Public Health, Environmental and Occupational Health (439 citations) and Genetics (220 citations). Xiao‐Bing Zhang has collaborated with scholars based in China, India and United States. Frequent co-authors include Hai‐Feng Huo, Xin-You Meng, Hong Xiang, Qihong Shi, Xiaodong Wang, Liang Zhang, Shitao Liu, Aibing Li, Ruijie Liu and Hui Cao. Their work appears in journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Advanced Functional Materials.
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.