Gui‐Lu Long

469 papers and 20.4k indexed citations i.

About

Gui‐Lu Long is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Nuclear and High Energy Physics. According to data from OpenAlex, Gui‐Lu Long has authored 469 papers receiving a total of 20.4k indexed citations (citations by other indexed papers that have themselves been cited), including 357 papers in Atomic and Molecular Physics, and Optics, 319 papers in Artificial Intelligence and 53 papers in Nuclear and High Energy Physics. Recurrent topics in Gui‐Lu Long’s work include Quantum Information and Cryptography (300 papers), Quantum Computing Algorithms and Architecture (242 papers) and Quantum Mechanics and Applications (150 papers). Gui‐Lu Long is often cited by papers focused on Quantum Information and Cryptography (300 papers), Quantum Computing Algorithms and Architecture (242 papers) and Quantum Mechanics and Applications (150 papers). Gui‐Lu Long collaborates with scholars based in China, United States and United Kingdom. Gui‐Lu Long's co-authors include Fu‐Guo Deng, Xiao-Shu Liu, Chuan Wang, Yu‐Bo Sheng, Xiao Li, Fuchuan Lei, Lan Yang, Şahin Kaya Özdemir, Yansong Li and Faraz Monifi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Co-authorship network of co-authors of Gui‐Lu Long i

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Fields of papers citing papers by Gui‐Lu Long

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gui‐Lu Long. 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 Gui‐Lu Long. The network helps show where Gui‐Lu Long may publish in the future.

Countries citing papers authored by Gui‐Lu Long

Since Specialization

Citations

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