Fan Long

26 papers and 685 indexed citations i.

About

Fan Long is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Fan Long has authored 26 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems, 11 papers in Artificial Intelligence and 11 papers in Software. Recurrent topics in Fan Long’s work include Software Testing and Debugging Techniques (11 papers), Advanced Malware Detection Techniques (10 papers) and Security and Verification in Computing (9 papers). Fan Long is often cited by papers focused on Software Testing and Debugging Techniques (11 papers), Advanced Malware Detection Techniques (10 papers) and Security and Verification in Computing (9 papers). Fan Long collaborates with scholars based in United States, Canada and China. Fan Long's co-authors include Martin Rinard, Stelios Sidiroglou-Douskos, Sara Achour, Howard Shrobe, Hamed Okhravi, Deokhwan Kim, Tao Leí, Regina Barzilay, Brendan Juba and Christopher Musco and has published in prestigious journals such as ACM SIGPLAN Notices, IEEE Transactions on Network and Service Management and Proceedings of the ACM on Programming Languages.

In The Last Decade

Co-authorship network of co-authors of Fan Long i

Fields of papers citing papers by Fan Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fan Long. 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 Fan Long. The network helps show where Fan Long may publish in the future.

Countries citing papers authored by Fan Long

Since Specialization
Citations

This map shows the geographic impact of Fan Long'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 Fan Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Long 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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2025