James Fan

52 total papers · 2.6k total citations
24 papers, 766 citations indexed

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 24 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 16 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 (14 papers), Natural Language Processing Techniques (13 papers) and Semantic Web and Ontologies (7 papers). James Fan is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (13 papers) and Semantic Web and Ontologies (7 papers). James Fan collaborates with scholars based in United States, United Kingdom and Italy. James Fan's co-authors include David Gondek, Aditya Kalyanpur, Jennifer Chu‐Carroll, David Ferrucci, Chris Welty, Eric Nyberg, Nico Schlaefer, Jaimie Murdock, Eric W. Brown and John Prager and has published in prestigious journals such as Production and Operations Management, Applied Spectroscopy and Manufacturing & Service Operations Management.

Co-authorship network of co-authors of James Fan

This figure shows the co-authorship network connecting the top 25 collaborators of James Fan. A scholar is included among the top collaborators of James Fan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James Fan. James Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

James Fan

21 papers receiving 689 citations

Fields of papers citing papers by James Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Fan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James Fan. 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 uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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