Long Kong

35 papers and 663 indexed citations i.

About

Long Kong is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Long Kong has authored 35 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Electrical and Electronic Engineering, 16 papers in Computer Networks and Communications and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Long Kong’s work include Wireless Communication Security Techniques (21 papers), Cooperative Communication and Network Coding (9 papers) and Advanced Wireless Communication Technologies (9 papers). Long Kong is often cited by papers focused on Wireless Communication Security Techniques (21 papers), Cooperative Communication and Network Coding (9 papers) and Advanced Wireless Communication Technologies (9 papers). Long Kong collaborates with scholars based in Canada, Luxembourg and Norway. Long Kong's co-authors include Georges Kaddoum, Yun Ai, Michael Cheffena, Symeon Chatzinotas, Björn Ottersten, Ha-Vu Tran, Aashish Mathur, Daniel Benevides da Costa, Satyanarayana Vuppala and Hatim Chergui and has published in prestigious journals such as Environment International, IEEE Access and IEEE Transactions on Communications.

In The Last Decade

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

Fields of papers citing papers by Long Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Kong

Since Specialization
Citations

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