Jun-Feng Tang

15 papers and 307 indexed citations i.

About

Jun-Feng Tang is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Jun-Feng Tang has authored 15 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Atomic and Molecular Physics, and Optics and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Jun-Feng Tang’s work include Quantum Information and Cryptography (15 papers), Quantum Computing Algorithms and Architecture (10 papers) and Quantum Mechanics and Applications (9 papers). Jun-Feng Tang is often cited by papers focused on Quantum Information and Cryptography (15 papers), Quantum Computing Algorithms and Architecture (10 papers) and Quantum Mechanics and Applications (9 papers). Jun-Feng Tang collaborates with scholars based in China, Hong Kong and Australia. Jun-Feng Tang's co-authors include Guo‐Yong Xiang, Chuan‐Feng Li, Zhibo Hou, Guang‐Can Guo, Guang−Can Guo, Haidong Yuan, Jiangwei Shang, Huangjun Zhu, Kang‐Da Wu and Hongzhen Chen and has published in prestigious journals such as Physical Review Letters, Nature Communications and Science Advances.

In The Last Decade

Co-authorship network of co-authors of Jun-Feng Tang i

Fields of papers citing papers by Jun-Feng Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun-Feng Tang

Since Specialization
Citations

This map shows the geographic impact of Jun-Feng Tang'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 Tang 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 Tang 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