Jun Feng

68 papers and 1.3k indexed citations
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About

Jun Feng is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Jun Feng has authored 68 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 11 papers in Information Systems. Recurrent topics in Jun Feng’s work include Privacy-Preserving Technologies in Data (15 papers), Cryptography and Data Security (13 papers) and Tensor decomposition and applications (8 papers). Jun Feng is often cited by papers focused on Privacy-Preserving Technologies in Data (15 papers), Cryptography and Data Security (13 papers) and Tensor decomposition and applications (8 papers). Jun Feng collaborates with scholars based in China, Canada and Australia. Jun Feng's co-authors include Laurence T. Yang, Wei Zhu, Daixing Zhou, Shusheng Li, Qing Lü, Qing Zhu, Junshuai Wang, Kim‐Kwang Raymond Choo, Shunli Zhang and Fangcheng Zhang and has published in prestigious journals such as Neuroscience, International Journal of Molecular Sciences and European Journal of Pharmacology.

In The Last Decade

Co-authorship network of co-authors of Jun Feng

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

Fields of papers citing papers by Jun Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Feng

Since Specialization
Citations

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