Hailong Shi

About

Hailong Shi is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Networks and Communications. According to data from OpenAlex, Hailong Shi has authored 38 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Atomic and Molecular Physics, and Optics and 6 papers in Computer Networks and Communications. Recurrent topics in Hailong Shi’s work include Quantum Information and Cryptography (12 papers), Quantum Computing Algorithms and Architecture (9 papers) and Quantum and electron transport phenomena (6 papers). Hailong Shi is often cited by papers focused on Quantum Information and Cryptography (12 papers), Quantum Computing Algorithms and Architecture (9 papers) and Quantum and electron transport phenomena (6 papers). Hailong Shi collaborates with scholars based in China, Italy and United States. Hailong Shi's co-authors include Xiao-Hui Wang, Wen‐Li Yang, Heng Fan, Zhan-Ying Yang, Yun‐Hao Shi, Haji Akber Aisa, Tao Wu, Hankui Wu, Zhihui Xiao and Siyuan Liu and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Chemosphere.

In The Last Decade

Co-authorship network of co-authors of Hailong Shi i

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Fields of papers citing papers by Hailong Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hailong Shi

Since Specialization

Citations

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