Mao-Fa Fang

208 papers and 1.8k indexed citations i.

About

Mao-Fa Fang is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Mao-Fa Fang has authored 208 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 198 papers in Atomic and Molecular Physics, and Optics, 195 papers in Artificial Intelligence and 27 papers in Statistical and Nonlinear Physics. Recurrent topics in Mao-Fa Fang’s work include Quantum Information and Cryptography (195 papers), Quantum Mechanics and Applications (134 papers) and Quantum Computing Algorithms and Architecture (87 papers). Mao-Fa Fang is often cited by papers focused on Quantum Information and Cryptography (195 papers), Quantum Mechanics and Applications (134 papers) and Quantum Computing Algorithms and Architecture (87 papers). Mao-Fa Fang collaborates with scholars based in China, United Kingdom and United States. Mao-Fa Fang's co-authors include S. Swain, Xing Xiao, Ke Zeng, Yan‐Ling Li, Shiyang Zhang, Guanghui Zhou, Xiang Liu, Chao Wu, Min Yu and Xiaojuan Liu and has published in prestigious journals such as Physical Review A, Physics Letters A and EPL (Europhysics Letters).

In The Last Decade

Co-authorship network of co-authors of Mao-Fa Fang i

Fields of papers citing papers by Mao-Fa Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mao-Fa Fang

Since Specialization
Citations

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