Song-Ya Ma

56 papers and 733 indexed citations i.

About

Song-Ya Ma is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Song-Ya Ma has authored 56 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 39 papers in Atomic and Molecular Physics, and Optics and 4 papers in Biomedical Engineering. Recurrent topics in Song-Ya Ma’s work include Quantum Information and Cryptography (51 papers), Quantum Computing Algorithms and Architecture (47 papers) and Quantum Mechanics and Applications (35 papers). Song-Ya Ma is often cited by papers focused on Quantum Information and Cryptography (51 papers), Quantum Computing Algorithms and Architecture (47 papers) and Quantum Mechanics and Applications (35 papers). Song-Ya Ma collaborates with scholars based in China and Ireland. Song-Ya Ma's co-authors include Xiu‐Bo Chen, Ming‐Xing Luo, Yixian Yang, Xinxin Niu, Ru Zhang, Zhiguo Qu, Yuan Su, Niannian Wang, Xiaojun Wang and M. X. Luo and has published in prestigious journals such as Scientific Reports, Physical Review A and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Co-authorship network of co-authors of Song-Ya Ma i

Fields of papers citing papers by Song-Ya Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Song-Ya Ma. 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 Song-Ya Ma. The network helps show where Song-Ya Ma may publish in the future.

Countries citing papers authored by Song-Ya Ma

Since Specialization
Citations

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