Lian-Fang Han

26 papers and 370 indexed citations i.

About

Lian-Fang Han is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Industrial relations. According to data from OpenAlex, Lian-Fang Han has authored 26 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 26 papers in Atomic and Molecular Physics, and Optics and 0 papers in Industrial relations. Recurrent topics in Lian-Fang Han’s work include Quantum Information and Cryptography (26 papers), Quantum Mechanics and Applications (23 papers) and Quantum Computing Algorithms and Architecture (21 papers). Lian-Fang Han is often cited by papers focused on Quantum Information and Cryptography (26 papers), Quantum Mechanics and Applications (23 papers) and Quantum Computing Algorithms and Architecture (21 papers). Lian-Fang Han collaborates with scholars based in China and Taiwan. Lian-Fang Han's co-authors include Zhanjun Zhang, Yimin Liu, Hao Yuan, Shi Shou-Hua, Jun Liu, Xin Wang, Gan Gao, Yimin Liu, Haifeng Xu and Jun Song and has published in prestigious journals such as Optics Express, Physics Letters A and Optics Communications.

In The Last Decade

Co-authorship network of co-authors of Lian-Fang Han i

Fields of papers citing papers by Lian-Fang Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lian-Fang Han

Since Specialization
Citations

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