S. L. Wu

43 total papers · 421 total citations
38 papers, 326 citations indexed

About

S. L. Wu is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, S. L. Wu has authored 38 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Atomic and Molecular Physics, and Optics, 26 papers in Artificial Intelligence and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in S. L. Wu's work include Quantum Information and Cryptography (26 papers), Quantum Mechanics and Applications (10 papers) and Quantum Computing Algorithms and Architecture (10 papers). S. L. Wu is often cited by papers focused on Quantum Information and Cryptography (26 papers), Quantum Mechanics and Applications (10 papers) and Quantum Computing Algorithms and Architecture (10 papers). S. L. Wu collaborates with scholars based in China, Spain and United States. S. L. Wu's co-authors include X. X. Yi, Peili Zhang, Yang Du, X. L. Huang, Yi Zhou, Wei Ma, Sheng Qi, Guoqing Li, L. C. Wang and C. H. Oh and has published in prestigious journals such as Scientific Reports, Physical Review A and Optics Letters.

In The Last Decade

S. L. Wu

33 papers receiving 308 citations

Author Peers

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

Author Last Decade Papers Cites
S. L. Wu 156 136 117 87 61 38 326
Luiz M. Faria 78 0.5× 8 0.1× 62 0.5× 22 0.3× 23 0.4× 25 265
Hao Wang 25 0.2× 58 0.4× 71 0.6× 4 0.0× 5 0.1× 32 313
Stylianos Chatzidakis 17 0.1× 19 0.1× 113 1.0× 20 0.2× 17 0.3× 49 328
Peng Tong 44 0.3× 40 0.3× 155 1.3× 5 0.1× 14 0.2× 28 343
J. J. Wagschal 13 0.1× 5 0.0× 229 2.0× 35 0.4× 34 0.6× 34 303
H. A. Mangalvedekar 43 0.3× 11 0.1× 27 0.2× 23 0.3× 3 0.0× 40 313
Gabriele Ciaramella 53 0.3× 36 0.3× 5 0.0× 8 0.1× 9 0.1× 30 244
Shiying Xiong 15 0.1× 31 0.2× 34 0.3× 8 0.1× 4 0.1× 33 337
Lénard Pál 34 0.2× 16 0.1× 242 2.1× 20 0.2× 81 1.3× 20 351
Jan Dufek 8 0.1× 9 0.1× 328 2.8× 16 0.2× 45 0.7× 32 357

Countries citing papers authored by S. L. Wu

Since Specialization
Citations

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

Fields of papers citing papers by S. L. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. L. Wu. 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 S. L. Wu. The network helps show where S. L. Wu may publish in the future.

Co-authorship network of co-authors of S. L. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of S. L. Wu. A scholar is included among the top collaborators of S. L. Wu 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 S. L. Wu. S. L. Wu 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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