Fayi Song

30 papers and 1.8k indexed citations i.

About

Fayi Song is a scholar working on Materials Chemistry, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Fayi Song has authored 30 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Materials Chemistry, 11 papers in Molecular Biology and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Fayi Song’s work include Advanced biosensing and bioanalysis techniques (10 papers), Electrochemical Analysis and Applications (8 papers) and Fullerene Chemistry and Applications (7 papers). Fayi Song is often cited by papers focused on Advanced biosensing and bioanalysis techniques (10 papers), Electrochemical Analysis and Applications (8 papers) and Fullerene Chemistry and Applications (7 papers). Fayi Song collaborates with scholars based in United States, Canada and China. Fayi Song's co-authors include Warren C. W. Chan, Luís Echegoyen, Andrew Emili, Yoram Cohen, Carl Walkey, Rong Liu, Hongbo Guo, Jonathan B. Olsen, François Diederich and Davide Bonifazi and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nano Letters.

In The Last Decade

Co-authorship network of co-authors of Fayi Song i

Fields of papers citing papers by Fayi Song

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

Countries citing papers authored by Fayi Song

Since Specialization
Citations

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

Rankless by CCL
2025