F. Fang

103 papers and 3.8k indexed citations i.

About

F. Fang is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Atmospheric Science. According to data from OpenAlex, F. Fang has authored 103 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computational Mechanics, 37 papers in Statistical and Nonlinear Physics and 33 papers in Atmospheric Science. Recurrent topics in F. Fang’s work include Model Reduction and Neural Networks (37 papers), Meteorological Phenomena and Simulations (27 papers) and Fluid Dynamics and Vibration Analysis (22 papers). F. Fang is often cited by papers focused on Model Reduction and Neural Networks (37 papers), Meteorological Phenomena and Simulations (27 papers) and Fluid Dynamics and Vibration Analysis (22 papers). F. Fang collaborates with scholars based in United Kingdom, United States and China. F. Fang's co-authors include Christopher C. Pain, Cornelis W. Oosterlee, I. M. Navon, Dunhui Xiao, A.G. Buchan, Rosemary Morrow, Meiling Cheng, Gang Hu, Matthew D. Piggott and Gerard Gorman and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Journal of Computational Physics.

In The Last Decade

Co-authorship network of co-authors of F. Fang i

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

Countries citing papers authored by F. Fang

Since Specialization
Citations

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

Rankless by CCL
2025