Di Fan

About

Di Fan is a scholar working on Molecular Biology, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Di Fan has authored 35 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Biomedical Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Di Fan’s work include Nanoparticle-Based Drug Delivery (3 papers), Video Surveillance and Tracking Methods (3 papers) and Nanoplatforms for cancer theranostics (3 papers). Di Fan is often cited by papers focused on Nanoparticle-Based Drug Delivery (3 papers), Video Surveillance and Tracking Methods (3 papers) and Nanoplatforms for cancer theranostics (3 papers). Di Fan collaborates with scholars based in China, Germany and United Kingdom. Di Fan's co-authors include Oliver Lieleg, Yan-ting Gu, Petra Mela, Tao Tang and Shang Gao and has published in prestigious journals such as Chemical Communications, Scientific Reports and The FASEB Journal.

In The Last Decade

Fields of papers citing papers by Di Fan

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 Di Fan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Di Fan may publish in the future.

Countries citing papers authored by Di Fan

Since Specialization

Citations

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

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