Jie Song

124 papers and 1.1k indexed citations i.

About

Jie Song is a scholar working on Artificial Intelligence, Information Systems and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jie Song has authored 124 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 40 papers in Information Systems and 33 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jie Song’s work include Quantum Information and Cryptography (36 papers), Quantum Mechanics and Applications (29 papers) and Cloud Computing and Resource Management (25 papers). Jie Song is often cited by papers focused on Quantum Information and Cryptography (36 papers), Quantum Mechanics and Applications (29 papers) and Cloud Computing and Resource Management (25 papers). Jie Song collaborates with scholars based in China, United States and France. Jie Song's co-authors include Yan Xia, He‐Shan Song, Ge Yu, Jing Nie, K. J. Ray Liu, Shou Zhang, Jin‐Liang Guo, Radha Poovendran, Wade Trappe and H. S. Song and has published in prestigious journals such as Applied Physics Letters, Physical Review A and Sensors.

In The Last Decade

Co-authorship network of co-authors of Jie Song i

Fields of papers citing papers by Jie Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jie Song

Since Specialization
Citations

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