Chun‐Wei Yang
Impact in
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- Quantum Mechanics and Applications
- Quantum optics and atomic interactions
- Artificial Intelligence top 1%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Cryptography and Data Security
Papers in
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- Quantum Information and Cryptography 67
- Quantum Computing Algorithms and Architecture 61
- Machine Learning and ELM 3
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- Quantum Mechanics and Applications 62
- Quantum optics and atomic interactions 7
- Co-authors
- Tzonelih Hwang (23 shared papers)Chia‐Wei Tsai (42 shared papers)Jason Lin (23 shared papers)Tzonelih Hwang (4 shared papers)Jau-Ji Shen (1 shared paper)Yiping Luo (4 shared papers)Narn-Yih Lee (2 shared papers)Yao‐Chung Chang (3 shared papers)
In The Last Decade
Chun‐Wei Yang
72 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 33
- Atomic and Molecular Physics, and Optics 1.2k
- Artificial Intelligence 1.3k
- Computer Vision and Pattern Recognition 124
- Computational Theory and Mathematics 32
- Media Technology 8
Countries citing papers authored by Chun‐Wei Yang
This map shows the geographic impact of Chun‐Wei 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 Chun‐Wei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Wei Yang more than expected).
Fields of papers citing papers by Chun‐Wei Yang
This network shows the impact of papers produced by Chun‐Wei 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 Chun‐Wei Yang. The network helps show where Chun‐Wei Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun‐Wei Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 115 | |
| 2 | 2009 | 95 | |
| 3 | 2012 | 86 | |
| 4 | 2011 | 81 | |
| 5 | 2014 | 74 | |
| 6 | 2012 | 71 | |
| 7 | 2012 | 59 | |
| 8 | 2013 | 53 | |
| 9 | 2021 | 45 | |
| 10 | 2012 | 42 | |
| 11 | 2019 | 39 | |
| 12 | 2020 | 37 | |
| 13 | 2013 | 35 | |
| 14 | 2015 | 33 | |
| 15 | 2022 | 32 | |
| 16 | 2011 | 28 | |
| 17 | 2013 | 25 | |
| 18 | 2019 | 24 | |
| 19 | 2019 | 23 | |
| 20 | 2020 | 23 |
About Chun‐Wei Yang
Chun‐Wei Yang is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 78 papers that have together received 1.5k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (67 papers), Quantum Mechanics and Applications (62 papers), Quantum Computing Algorithms and Architecture (61 papers), Quantum optics and atomic interactions (7 papers), Video Surveillance and Tracking Methods (3 papers), Machine Learning and ELM (3 papers), Electricity Theft Detection Techniques (2 papers) and Smart Grid Security and Resilience (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.2k citations), Artificial Intelligence (1.3k citations), Computer Vision and Pattern Recognition (124 citations), Computational Theory and Mathematics (32 citations) and Media Technology (8 citations). Chun‐Wei Yang has collaborated with scholars based in Taiwan and China. Frequent co-authors include Tzonelih Hwang, Chia‐Wei Tsai, Jason Lin, Tzonelih Hwang, Jau-Ji Shen, Yiping Luo, Narn-Yih Lee, Yao‐Chung Chang, Chih‐Hung Chang and Ruay-Shiung Chang. Their work appears in journals such as Quantum Information Processing, EPJ Quantum Technology, Sensors, Scientific Reports and International Journal of Theoretical Physics.
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.