Guihong Fan
- Public Health, Environmental and Occupational Health top 10%
- Infectious Diseases top 10%
- Modeling and Simulation top 2%
- Genetics
- Insect Science top 10%
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (13 papers)Evolution and Genetic Dynamics (10 papers)Nonlinear Dynamics and Pattern Formation (6 papers)
- Cited by
- Modeling and SimulationInfectious DiseasesPublic Health, Environmental and Occupational Health
- Journals
- Emerging infectious diseasesPhysics Letters APhysica A Statistical Mechanics and its Applications
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Guihong Fan
36 papers receiving 405 citations
Peers
Comparison fields: 5 of 79
- Public Health, Environmental and Occupational Health 178
- Infectious Diseases 145
- Modeling and Simulation 130
- Genetics 87
- Insect Science 47
Countries citing papers authored by Guihong Fan
This map shows the geographic impact of Guihong 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 Guihong Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guihong Fan more than expected).
Fields of papers citing papers by Guihong Fan
This network shows the impact of papers produced by Guihong 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 Guihong Fan. The network helps show where Guihong Fan may publish in the future.
Co-authorship network of co-authors of Guihong Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Guihong Fan. A scholar is included among the top collaborators of Guihong Fan 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 Guihong Fan. Guihong Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 25 | |
| 7 | 6 | |
| 8 | 19 | |
| 9 | Effect of nursing based on the hopeless self-esteem theory plus multi-dimensional intensive nursing for elderly patients with acute cerebral infarction complicated with depression. | 5 |
| 10 | 107 | |
| 11 | 2 | |
| 12 | 10 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 36 | |
| 16 | 11 | |
| 17 | 27 | |
| 18 | 36 | |
| 19 | 8 | |
| 20 | Existence Of Positive Periodic Solution For A Single Species Model With State Dependent Delay | 6 |
About Guihong Fan
Guihong Fan is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 39 papers that have together received 416 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (13 papers), Evolution and Genetic Dynamics (10 papers) and Nonlinear Dynamics and Pattern Formation (6 papers). The work is most often cited by research in Modeling and Simulation (130 citations), Infectious Diseases (145 citations) and Public Health, Environmental and Occupational Health (178 citations). Guihong Fan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Daihai He, Huaiping Zhu, Shi Zhao, Zhichun Yang, Qianying Lin, Lin Yang, Horst R. Thieme, Shangbing Ai, Liming Cai and Gail S. K. Wolkowicz. Their work appears in journals such as Emerging infectious diseases, Physics Letters A and Physica A Statistical Mechanics and its 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.