Hui Fang

44 papers and 656 indexed citations i.

About

Hui Fang is a scholar working on Applied Mathematics, Public Health, Environmental and Occupational Health and Statistical and Nonlinear Physics. According to data from OpenAlex, Hui Fang has authored 44 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Applied Mathematics, 16 papers in Public Health, Environmental and Occupational Health and 16 papers in Statistical and Nonlinear Physics. Recurrent topics in Hui Fang’s work include Mathematical and Theoretical Epidemiology and Ecology Models (16 papers), Nonlinear Differential Equations Analysis (14 papers) and Nonlinear Waves and Solitons (9 papers). Hui Fang is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (16 papers), Nonlinear Differential Equations Analysis (14 papers) and Nonlinear Waves and Solitons (9 papers). Hui Fang collaborates with scholars based in China. Hui Fang's co-authors include Chuanjian Wang, Xingyong Zhang, Chunhua Zeng, Hongbo Duan and Feng Fu and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Physica A Statistical Mechanics and its Applications and Computers & Mathematics with Applications.

In The Last Decade

Fields of papers citing papers by Hui Fang

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Hui Fang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Hui Fang may publish in the future.

Countries citing papers authored by Hui Fang

Since Specialization
Citations

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

Rankless by CCL
2025