Lian-Ao Wu

159 papers and 3.5k indexed citations i.

About

Lian-Ao Wu is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Lian-Ao Wu has authored 159 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Atomic and Molecular Physics, and Optics, 114 papers in Artificial Intelligence and 22 papers in Statistical and Nonlinear Physics. Recurrent topics in Lian-Ao Wu’s work include Quantum Information and Cryptography (110 papers), Quantum Computing Algorithms and Architecture (63 papers) and Quantum and electron transport phenomena (56 papers). Lian-Ao Wu is often cited by papers focused on Quantum Information and Cryptography (110 papers), Quantum Computing Algorithms and Architecture (63 papers) and Quantum and electron transport phenomena (56 papers). Lian-Ao Wu collaborates with scholars based in Spain, China and United States. Lian-Ao Wu's co-authors include Daniel A. Lidar, M. S. Sarandy, Dvira Segal, Jun Jing, Mark Byrd, Paolo Zanardi, Ting Yu, Yong Li, Zhao-Ming Wang and Bin Shao and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Physical Review B.

In The Last Decade

Co-authorship network of co-authors of Lian-Ao Wu i

Fields of papers citing papers by Lian-Ao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lian-Ao Wu. 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 Lian-Ao Wu. The network helps show where Lian-Ao Wu may publish in the future.

Countries citing papers authored by Lian-Ao Wu

Since Specialization
Citations

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