Long Tan Le

5 papers and 16 indexed citations i.

About

Long Tan Le is a scholar working on Artificial Intelligence, Computer Networks and Communications and Cognitive Neuroscience. According to data from OpenAlex, Long Tan Le has authored 5 papers receiving a total of 16 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 1 paper in Cognitive Neuroscience. Recurrent topics in Long Tan Le’s work include Network Security and Intrusion Detection (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). Long Tan Le is often cited by papers focused on Network Security and Intrusion Detection (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). Long Tan Le collaborates with scholars based in United States, Australia and India. Long Tan Le's co-authors include Tran Ngoc Thinh, Hootan Nakhost, Elli Kanal, Wei Bao, Tomas Pfister, Nguyen H. Tran, Vikas Menon, Chunliang Li, Sercan Ö. Arık and Jinsung Yoon and has published in prestigious journals such as IEEE/ACM Transactions on Networking, Neural Information Processing Systems and IEEE INFOCOM 2022 - IEEE Conference on Computer Communications.

In The Last Decade

Co-authorship network of co-authors of Long Tan Le i

Fields of papers citing papers by Long Tan Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Tan Le

Since Specialization
Citations

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