Pan‐Yu Hou

66 total papers · 576 total citations
29 papers, 359 citations indexed

About

Pan‐Yu Hou is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Pan‐Yu Hou has authored 29 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Atomic and Molecular Physics, and Optics, 19 papers in Artificial Intelligence and 4 papers in Materials Chemistry. Recurrent topics in Pan‐Yu Hou's work include Quantum Information and Cryptography (19 papers), Quantum Mechanics and Applications (11 papers) and Quantum Computing Algorithms and Architecture (8 papers). Pan‐Yu Hou is often cited by papers focused on Quantum Information and Cryptography (19 papers), Quantum Mechanics and Applications (11 papers) and Quantum Computing Algorithms and Architecture (8 papers). Pan‐Yu Hou collaborates with scholars based in China, United States and Egypt. Pan‐Yu Hou's co-authors include Chong Zu, X.-Y. Chang, Luming Duan, L.-M. Duan, Dong Deng, L-M Duan, Kopin Liu, D. Leibfried, Daniel C. Cole and Dong-Ling Deng and has published in prestigious journals such as Physical Review Letters, Nature Communications and Journal of Hazardous Materials.

In The Last Decade

Pan‐Yu Hou

23 papers receiving 340 citations

Author Peers

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

Author Last Decade Papers Cites
Pan‐Yu Hou 309 270 38 34 21 29 359
X.-Y. Chang 236 0.8× 176 0.7× 48 1.3× 41 1.2× 32 1.5× 19 311
Jing Zhang 316 1.0× 287 1.1× 38 1.0× 28 0.8× 8 0.4× 27 379
Hiraku Toida 318 1.0× 244 0.9× 42 1.1× 24 0.7× 28 1.3× 21 354
Thiago Guerreiro 283 0.9× 243 0.9× 26 0.7× 72 2.1× 9 0.4× 26 348
Guillermo Albareda 316 1.0× 140 0.5× 67 1.8× 78 2.3× 20 1.0× 38 353
Davide Poderini 319 1.0× 326 1.2× 45 1.2× 60 1.8× 26 1.2× 25 404
Valeria Cimini 150 0.5× 211 0.8× 44 1.2× 41 1.2× 15 0.7× 24 294
Georg Sulyok 291 0.9× 227 0.8× 89 2.3× 25 0.7× 5 0.2× 16 359
Yulin Wu 274 0.9× 256 0.9× 37 1.0× 28 0.8× 11 0.5× 25 365
I. Cohen 360 1.2× 258 1.0× 26 0.7× 24 0.7× 40 1.9× 13 394

Countries citing papers authored by Pan‐Yu Hou

Since Specialization
Citations

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

Fields of papers citing papers by Pan‐Yu Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pan‐Yu Hou. 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 Pan‐Yu Hou. The network helps show where Pan‐Yu Hou may publish in the future.

Co-authorship network of co-authors of Pan‐Yu Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Pan‐Yu Hou. A scholar is included among the top collaborators of Pan‐Yu Hou 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 Pan‐Yu Hou. Pan‐Yu Hou 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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