Keqin Feng

About

Keqin Feng is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Keqin Feng has authored 79 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 30 papers in Electrical and Electronic Engineering and 30 papers in Computational Theory and Mathematics. Recurrent topics in Keqin Feng’s work include Coding theory and cryptography (45 papers), graph theory and CDMA systems (29 papers) and Quantum Computing Algorithms and Architecture (15 papers). Keqin Feng is often cited by papers focused on Coding theory and cryptography (45 papers), graph theory and CDMA systems (29 papers) and Quantum Computing Algorithms and Architecture (15 papers). Keqin Feng collaborates with scholars based in China, Singapore and United States. Keqin Feng's co-authors include Jinquan Luo, Wen-Ching Winnie Li, Chaoping Xing, San Ling, Xiwang Cao, Chunming Tang, Feng Liu, Jing Yang, Lei Wang and Longjiang Qu and has published in prestigious journals such as Physical Review A, IEEE Transactions on Information Theory and Transactions of the American Mathematical Society.

In The Last Decade

Co-authorship network of co-authors of Keqin Feng i

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Fields of papers citing papers by Keqin Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Keqin Feng

Since Specialization

Citations

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