Ling Song

45 papers and 418 indexed citations i.

About

Ling Song is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Ling Song has authored 45 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 7 papers in Materials Chemistry. Recurrent topics in Ling Song’s work include Cryptographic Implementations and Security (18 papers), Chaos-based Image/Signal Encryption (16 papers) and Coding theory and cryptography (14 papers). Ling Song is often cited by papers focused on Cryptographic Implementations and Security (18 papers), Chaos-based Image/Signal Encryption (16 papers) and Coding theory and cryptography (14 papers). Ling Song collaborates with scholars based in China, Singapore and Japan. Ling Song's co-authors include Jin‐Shun Huang, Jiang‐Gao Mao, Joseph S. Beckman, Xiaohua Li, Patrizia De Sarno, Richard S. Jope, Chao Wang, Xiao‐Ying Huang, Nasour Bagheri and Thomas Peyrin and has published in prestigious journals such as Biochemical Journal, IEEE Transactions on Information Theory and Chemical Physics Letters.

In The Last Decade

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

Fields of papers citing papers by Ling Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ling Song

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025