James Fan

29 papers and 928 indexed citations i.

About

James Fan is a scholar working on Artificial Intelligence, Management Science and Operations Research and Safety Research. According to data from OpenAlex, James Fan has authored 29 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 3 papers in Safety Research. Recurrent topics in James Fan’s work include Topic Modeling (19 papers), Natural Language Processing Techniques (17 papers) and Semantic Web and Ontologies (8 papers). James Fan is often cited by papers focused on Topic Modeling (19 papers), Natural Language Processing Techniques (17 papers) and Semantic Web and Ontologies (8 papers). James Fan collaborates with scholars based in United States, United Kingdom and Hong Kong. James Fan's co-authors include Bruce Porter, Ken Barker, David Gondek, Aditya Kalyanpur and David Ferrucci and has published in prestigious journals such as Production and Operations Management, Applied Spectroscopy and Manufacturing & Service Operations Management.

In The Last Decade

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

Countries citing papers authored by James Fan

Since Specialization
Citations

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

Rankless by CCL
2025