Su‐Juan Qin

224 total papers · 3.9k total citations
152 papers, 3.0k citations indexed

About

Su‐Juan Qin is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Information Systems. According to data from OpenAlex, Su‐Juan Qin has authored 152 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Artificial Intelligence, 78 papers in Atomic and Molecular Physics, and Optics and 23 papers in Information Systems. Recurrent topics in Su‐Juan Qin's work include Quantum Computing Algorithms and Architecture (102 papers), Quantum Information and Cryptography (98 papers) and Quantum Mechanics and Applications (74 papers). Su‐Juan Qin is often cited by papers focused on Quantum Computing Algorithms and Architecture (102 papers), Quantum Information and Cryptography (98 papers) and Quantum Mechanics and Applications (74 papers). Su‐Juan Qin collaborates with scholars based in China, Australia and Singapore. Su‐Juan Qin's co-authors include Qiaoyan Wen, Fei Gao, Fu-Chen Zhu, Fen-Zhuo Guo, Wei Huang, Guang‐Bao Xu, Zhichao Zhang, Heng-Yue Jia, Ying‐Hui Yang and Song Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Scientific Reports.

In The Last Decade

Su‐Juan Qin

141 papers receiving 2.9k citations

Hit Papers

A quantum federated learn... 2024 2026 2024 10 20 30 40

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Su‐Juan Qin 2.8k 2.2k 238 213 181 152 3.0k
Tzonelih Hwang 3.0k 1.1× 2.5k 1.2× 79 0.3× 347 1.6× 322 1.8× 120 3.1k
Xiu‐Bo Chen 3.7k 1.3× 2.7k 1.3× 272 1.1× 451 2.1× 229 1.3× 247 4.3k
Mingsheng Ying 2.7k 0.9× 1.3k 0.6× 1.3k 5.7× 79 0.4× 256 1.4× 200 3.7k
Eleanor Rieffel 1.7k 0.6× 463 0.2× 567 2.4× 142 0.7× 139 0.8× 85 2.1k
Jian Li 1.7k 0.6× 1.1k 0.5× 102 0.4× 435 2.0× 607 3.4× 146 2.5k
Ronald de Wolf 2.8k 1.0× 1.2k 0.5× 1.5k 6.1× 62 0.3× 163 0.9× 87 3.4k
Rodney Van Meter 2.0k 0.7× 1.3k 0.6× 322 1.4× 117 0.5× 396 2.2× 98 2.5k
Krysta M. Svore 3.2k 1.1× 976 0.4× 740 3.1× 755 3.5× 255 1.4× 65 3.9k
Sándor Imre 1.5k 0.5× 797 0.4× 192 0.8× 151 0.7× 549 3.0× 196 2.5k
Prakash Panangaden 2.0k 0.7× 358 0.2× 1.4k 5.9× 211 1.0× 517 2.9× 128 2.9k

Countries citing papers authored by Su‐Juan Qin

Since Specialization
Citations

This map shows the geographic impact of Su‐Juan Qin'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 Su‐Juan Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su‐Juan Qin more than expected).

Fields of papers citing papers by Su‐Juan Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐Juan Qin. 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 Su‐Juan Qin. The network helps show where Su‐Juan Qin may publish in the future.

Co-authorship network of co-authors of Su‐Juan Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Su‐Juan Qin. A scholar is included among the top collaborators of Su‐Juan Qin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Su‐Juan Qin. Su‐Juan Qin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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