Song Lin

About

Song Lin is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Song Lin has authored 76 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 49 papers in Atomic and Molecular Physics, and Optics and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Song Lin’s work include Quantum Information and Cryptography (54 papers), Quantum Computing Algorithms and Architecture (54 papers) and Quantum Mechanics and Applications (45 papers). Song Lin is often cited by papers focused on Quantum Information and Cryptography (54 papers), Quantum Computing Algorithms and Architecture (54 papers) and Quantum Mechanics and Applications (45 papers). Song Lin collaborates with scholars based in China, United Kingdom and Switzerland. Song Lin's co-authors include Fu-Chen Zhu, Qiaoyan Wen, Fei Gao, Gongde Guo, Xiaofen Liu, Chao‐Hua Yu, Fen-Zhuo Guo, Ying Sun, Su‐Juan Qin and Wen Qiao-yan and has published in prestigious journals such as Physical Review A, Physics Letters A and Physica A Statistical Mechanics and its Applications.

In The Last Decade

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

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Fields of papers citing papers by Song Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Lin

Since Specialization

Citations

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