Yan-Ling Wang

43 total papers · 1.2k total citations
28 papers, 794 citations indexed

About

Yan-Ling Wang is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Control and Systems Engineering. According to data from OpenAlex, Yan-Ling Wang has authored 28 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 14 papers in Atomic and Molecular Physics, and Optics and 3 papers in Control and Systems Engineering. Recurrent topics in Yan-Ling Wang's work include Quantum Information and Cryptography (18 papers), Quantum Computing Algorithms and Architecture (16 papers) and Quantum Mechanics and Applications (11 papers). Yan-Ling Wang is often cited by papers focused on Quantum Information and Cryptography (18 papers), Quantum Computing Algorithms and Architecture (16 papers) and Quantum Mechanics and Applications (11 papers). Yan-Ling Wang collaborates with scholars based in China, Germany and United States. Yan-Ling Wang's co-authors include Mao-Sheng Li, Trevor Jim, Michael Hicks, Dan Grossman, James Cheney, Zhu‐Jun Zheng, Shao-Ming Fei, Man‐Hong Yung, Wei Chen and Zhi‐Xi Wang and has published in prestigious journals such as Physical Review A, IEEE Access and IEEE Transactions on Computers.

In The Last Decade

Yan-Ling Wang

28 papers receiving 716 citations

Hit Papers

Cyclone: A Safe Dialect of C 2002 2026 2010 2018 2002 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Yan-Ling Wang 693 294 191 172 155 28 794
Tamiya Onodera 424 0.6× 70 0.2× 33 0.2× 293 1.7× 347 2.2× 50 741
Edgar Solomonik 231 0.3× 82 0.3× 26 0.1× 301 1.8× 414 2.7× 40 760
Mariusz Jakubowski 169 0.2× 168 0.6× 190 1.0× 90 0.5× 18 0.1× 38 865
W. M. McKeeman 298 0.4× 31 0.1× 104 0.5× 137 0.8× 189 1.2× 25 818
Rudy Raymond 649 0.9× 236 0.8× 43 0.2× 60 0.3× 33 0.2× 64 840
Timon Gehr 890 1.3× 19 0.1× 121 0.6× 63 0.4× 81 0.5× 18 1.0k
Scott Beamer 259 0.4× 47 0.2× 33 0.2× 339 2.0× 289 1.9× 23 958
Richard B. Kieburtz 425 0.6× 36 0.1× 105 0.5× 168 1.0× 193 1.2× 67 829
M. Pleško 185 0.3× 52 0.2× 25 0.1× 374 2.2× 285 1.8× 44 709
Adolfo Piperno 318 0.5× 33 0.1× 60 0.3× 128 0.7× 25 0.2× 23 862

Countries citing papers authored by Yan-Ling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yan-Ling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan-Ling Wang. 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 Yan-Ling Wang. The network helps show where Yan-Ling Wang may publish in the future.

Co-authorship network of co-authors of Yan-Ling Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yan-Ling Wang. A scholar is included among the top collaborators of Yan-Ling Wang 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 Yan-Ling Wang. Yan-Ling Wang 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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