Yan‐Ling Li

51 papers and 625 indexed citations i.

About

Yan‐Ling Li is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Yan‐Ling Li has authored 51 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 44 papers in Atomic and Molecular Physics, and Optics and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Yan‐Ling Li’s work include Quantum Information and Cryptography (45 papers), Quantum Computing Algorithms and Architecture (26 papers) and Quantum Mechanics and Applications (24 papers). Yan‐Ling Li is often cited by papers focused on Quantum Information and Cryptography (45 papers), Quantum Computing Algorithms and Architecture (26 papers) and Quantum Mechanics and Applications (24 papers). Yan‐Ling Li collaborates with scholars based in China. Yan‐Ling Li's co-authors include Xing Xiao, Yao Yao, Mao-Fa Fang, Yingmao Xie, Chao Wu, J. C. Huang, Ke Zeng, Jingwen Wang, Xinghua Wang and Yao Wang and has published in prestigious journals such as Physical Review A, Annals of Physics and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Co-authorship network of co-authors of Yan‐Ling Li i

Fields of papers citing papers by Yan‐Ling Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yan‐Ling Li

Since Specialization
Citations

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