Fei Long

15 papers and 316 indexed citations
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About

Fei Long is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Fei Long has authored 15 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Fei Long’s work include Advanced Graph Neural Networks (3 papers), Software Reliability and Analysis Research (2 papers) and Digital Media Forensic Detection (2 papers). Fei Long is often cited by papers focused on Advanced Graph Neural Networks (3 papers), Software Reliability and Analysis Research (2 papers) and Digital Media Forensic Detection (2 papers). Fei Long collaborates with scholars based in China, United States and Canada. Fei Long's co-authors include Antonio Páez, Steven Farber, Samuel P. Midkiff, Xifeng Yan, Jiawei Han, Chao Liu, Chao Liu, Jiawei Han, Hua Xu and Peifa Jia and has published in prestigious journals such as Applied Soft Computing, IEEE Transactions on Software Engineering and Urban Studies.

In The Last Decade

Co-authorship network of co-authors of Fei Long

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Long. A scholar is included among the top collaborators of Fei Long 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 Fei Long. Fei Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Fei Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fei Long

Since Specialization
Citations

This map shows the geographic impact of Fei 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 Fei Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei 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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2026