Qu Wang
Impact in
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- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
- Acoustics and Ultrasonics top 10%
Papers in
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- Chaos-based Image/Signal Encryption 20
- Advanced Steganography and Watermarking Techniques 10
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- Advanced Optical Imaging Technologies 10
- Co-authors
- Haiyong Luo (24 shared papers)Fang Zhao (20 shared papers)Qing Guo (18 shared papers)Aidong Men (9 shared papers)Jinyun Zhou (23 shared papers)Liang Lei (16 shared papers)Wenhua Shao (6 shared papers)Lianxiang Luo (5 shared papers)
- Journals
- Optics Communications (10 papers)IEEE Internet of Things Journal (8 papers)Optik (7 papers)Sensors (6 papers)Optics & Laser Technology (6 papers)
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Qu Wang
121 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 143
- Computer Vision and Pattern Recognition 632
- Acoustics and Ultrasonics 15
- Signal Processing 164
- Aerospace Engineering 345
- Electrical and Electronic Engineering 745
Countries citing papers authored by Qu Wang
This map shows the geographic impact of Qu 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 Qu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qu Wang more than expected).
Fields of papers citing papers by Qu Wang
This network shows the impact of papers produced by Qu 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 Qu Wang. The network helps show where Qu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Qu Wang, 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 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 80 | |
| 2 | 2021 | 77 | |
| 3 | 2019 | 76 | |
| 4 | 2016 | 71 | |
| 5 | 2020 | 68 | |
| 6 | 2018 | 60 | |
| 7 | 2012 | 56 | |
| 8 | 2023 | 56 | |
| 9 | 2019 | 55 | |
| 10 | 2019 | 55 | |
| 11 | 2020 | 52 | |
| 12 | 2021 | 44 | |
| 13 | 2016 | 39 | |
| 14 | 2021 | 39 | |
| 15 | 2019 | 38 | |
| 16 | 2020 | 38 | |
| 17 | 2019 | 35 | |
| 18 | 2022 | 32 | |
| 19 | 2022 | 31 | |
| 20 | 2022 | 30 |
About Qu Wang
Qu Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Aerospace Engineering, Electrical and Electronic Engineering and Signal Processing, having authored 141 papers that have together received 1.7k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (25 papers), Chaos-based Image/Signal Encryption (20 papers), Advanced Optical Imaging Technologies (10 papers), Advanced Steganography and Watermarking Techniques (10 papers), Gait Recognition and Analysis (9 papers), Inertial Sensor and Navigation (8 papers), Cryptographic Implementations and Security (8 papers) and Underwater Vehicles and Communication Systems (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (632 citations), Acoustics and Ultrasonics (15 citations), Signal Processing (164 citations), Aerospace Engineering (345 citations) and Electrical and Electronic Engineering (745 citations). Qu Wang has collaborated with scholars based in China, France and United States. Frequent co-authors include Haiyong Luo, Fang Zhao, Qing Guo, Aidong Men, Jinyun Zhou, Liang Lei, Wenhua Shao, Lianxiang Luo, Xile Gao and Changhai Ou. Their work appears in journals such as Optics Communications, IEEE Internet of Things Journal, Optik, Sensors and Optics & Laser Technology.
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.