Hong‐Yi Dai

92 papers and 1.2k indexed citations i.

About

Hong‐Yi Dai is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Plant Science. According to data from OpenAlex, Hong‐Yi Dai has authored 92 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 56 papers in Atomic and Molecular Physics, and Optics and 22 papers in Plant Science. Recurrent topics in Hong‐Yi Dai’s work include Quantum Information and Cryptography (59 papers), Quantum Mechanics and Applications (41 papers) and Quantum Computing Algorithms and Architecture (41 papers). Hong‐Yi Dai is often cited by papers focused on Quantum Information and Cryptography (59 papers), Quantum Mechanics and Applications (41 papers) and Quantum Computing Algorithms and Architecture (41 papers). Hong‐Yi Dai collaborates with scholars based in China, United States and United Kingdom. Hong‐Yi Dai's co-authors include Cheng-Zu Li, Ping‐Xing Chen, Ming Zhang, Lin-Mei Liang, Yugang Zhang, Chaohua Dong, Jiahua Wei, Erfeng Zhang, Jun Zhu and Yao-Kun Xu and has published in prestigious journals such as PLoS ONE, Physical Review A and Automatica.

In The Last Decade

Co-authorship network of co-authors of Hong‐Yi Dai i

Fields of papers citing papers by Hong‐Yi Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong‐Yi Dai. 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 Hong‐Yi Dai. The network helps show where Hong‐Yi Dai may publish in the future.

Countries citing papers authored by Hong‐Yi Dai

Since Specialization
Citations

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