Chun‐Wei Yang

1.8k citations
74 papers · 1.4k · h-index 21

Impact in

Papers in

Chun‐Wei Yang

68 papers receiving 1.3k citations

Peers

Chun‐Wei Yang
Comparison fields: 5 of 31
  • Artificial Intelligence 1.3k
  • Atomic and Molecular Physics, and Optics 1.2k
  • Computer Vision and Pattern Recognition 103
  • Computational Theory and Mathematics 29
  • Information Systems 15
Replace Wen Qiao-yan with:
Wen Qiao-yan China
Chunyan Li China
Zhengwen Cao China
Zhihao Liu China
Yu-Shuo Lu China
Tian‐Yin Wang China
Yuan-Mei Xie China
Wenyuan Wang Canada
Bikash K. Behera India
Chun‐Wei Yang relative to Wen Qiao-yan China Wen Qiao-yan's profile →
Citations per field
00.5×5.8×
Wen Qiao-yan · 1×
Citations per year

Countries citing papers authored by Chun‐Wei Yang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Chun‐Wei Yang Line = papers co-authored together Chun‐Wei Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014113
2 201284
3 200983
4 201179
5 201270
6 201469
7 201256
8 201351
9 201241
10 201936
11 201334
12 202133
13 201532
14 202031
15 202227
16 201126
17 201323
18 202023
19 202121
20 201920

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 74 papers that have together received 1.4k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (65 papers), Quantum Mechanics and Applications (61 papers), Quantum Computing Algorithms and Architecture (59 papers), Quantum optics and atomic interactions (7 papers), Video Surveillance and Tracking Methods (2 papers), Electricity Theft Detection Techniques (2 papers), Advanced Steganography and Watermarking Techniques (2 papers) and Chaos-based Image/Signal Encryption (2 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Atomic and Molecular Physics, and Optics (1.2k citations), Computer Vision and Pattern Recognition (103 citations), Computational Theory and Mathematics (29 citations) and Information Systems (15 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, Yiping Luo, Jau-Ji Shen, Narn-Yih Lee, Yao‐Chung Chang, Chih‐Hung Chang and Ruay-Shiung Chang. Their work appears in journals such as Quantum Information Processing, Scientific Reports, EPJ Quantum Technology, Sensors 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.

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