Yu‐Guang Yang

221 papers and 4.3k indexed citations i.

About

Yu‐Guang Yang is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yu‐Guang Yang has authored 221 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 192 papers in Artificial Intelligence, 146 papers in Atomic and Molecular Physics, and Optics and 30 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yu‐Guang Yang’s work include Quantum Information and Cryptography (173 papers), Quantum Computing Algorithms and Architecture (159 papers) and Quantum Mechanics and Applications (132 papers). Yu‐Guang Yang is often cited by papers focused on Quantum Information and Cryptography (173 papers), Quantum Computing Algorithms and Architecture (159 papers) and Quantum Mechanics and Applications (132 papers). Yu‐Guang Yang collaborates with scholars based in China, Iran and Switzerland. Yu‐Guang Yang's co-authors include Qiaoyan Wen, Yi‐Hua Zhou, Wei‐Min Shi, Xin Jia, Si-Jia Sun, Wen Qiao-yan, Peng Xu, Hua Zhang, Weifeng Cao and Ju Tian and has published in prestigious journals such as Journal of Applied Physics, Scientific Reports and Carbon.

In The Last Decade

Co-authorship network of co-authors of Yu‐Guang Yang i

Fields of papers citing papers by Yu‐Guang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yu‐Guang Yang

Since Specialization
Citations

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