Kun Fang

39 papers and 683 indexed citations i.

About

Kun Fang is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Kun Fang has authored 39 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 18 papers in Atomic and Molecular Physics, and Optics and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Kun Fang’s work include Quantum Information and Cryptography (19 papers), Quantum Computing Algorithms and Architecture (18 papers) and Quantum Mechanics and Applications (11 papers). Kun Fang is often cited by papers focused on Quantum Information and Cryptography (19 papers), Quantum Computing Algorithms and Architecture (18 papers) and Quantum Mechanics and Applications (11 papers). Kun Fang collaborates with scholars based in China, Australia and United States. Kun Fang's co-authors include Xin Wang, Bartosz Regula, Zi-Wen Liu, Gerardo Adesso, Geert Leus, Hamza Fawzi, Luca Rugini, Runyao Duan, Marco Tomamichel and Ludovico Lami and has published in prestigious journals such as Physical Review Letters, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Kun Fang i

Fields of papers citing papers by Kun Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Fang

Since Specialization
Citations

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