Kunshu Wang
Impact in
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- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
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- Cellular Automata and Applications
Papers in
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- Advanced Steganography and Watermarking Techniques 11
- Chaos-based Image/Signal Encryption 10
- Digital Media Forensic Detection 3
- Co-authors
- Xiangjun Wu (8 shared papers)Haibin Kan (4 shared papers)Xingyuan Wang (2 shared papers)Jürgen Kurths (2 shared papers)Tiegang Gao (9 shared papers)Zehui Zhang (4 shared papers)Qi Zhang (1 shared paper)Mengqi Liu (3 shared papers)
In The Last Decade
Kunshu Wang
18 papers receiving 551 citations
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 462
- Computational Theory and Mathematics 144
- Mathematical Physics 55
- Artificial Intelligence 159
- Statistical and Nonlinear Physics 47
Countries citing papers authored by Kunshu Wang
This map shows the geographic impact of Kunshu 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 Kunshu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunshu Wang more than expected).
Fields of papers citing papers by Kunshu Wang
This network shows the impact of papers produced by Kunshu 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 Kunshu Wang. The network helps show where Kunshu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kunshu 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 283 | |
| 2 | 2017 | 104 | |
| 3 | 2005 | 31 | |
| 4 | 2021 | 31 | |
| 5 | 2021 | 26 | |
| 6 | 2022 | 21 | |
| 7 | 2022 | 17 | |
| 8 | 2023 | 13 | |
| 9 | 2021 | 12 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2020 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2019 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2017 | 0 |
About Kunshu Wang
Kunshu Wang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computational Theory and Mathematics, Artificial Intelligence and Electronic, Optical and Magnetic Materials, having authored 20 papers that have together received 565 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (11 papers), Chaos-based Image/Signal Encryption (10 papers), Cellular Automata and Applications (4 papers), Digital Media Forensic Detection (3 papers), Sparse and Compressive Sensing Techniques (2 papers), Ga2O3 and related materials (2 papers), Privacy-Preserving Technologies in Data (2 papers) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (462 citations), Computational Theory and Mathematics (144 citations), Mathematical Physics (55 citations), Artificial Intelligence (159 citations) and Statistical and Nonlinear Physics (47 citations). Kunshu Wang has collaborated with scholars based in China and Germany. Frequent co-authors include Xiangjun Wu, Haibin Kan, Xingyuan Wang, Jürgen Kurths, Tiegang Gao, Zehui Zhang, Qi Zhang, Mengqi Liu, Zhang Li and Hang Gao. Their work appears in journals such as Multimedia Tools and Applications, Neural Computing and Applications, ISA Transactions, Optical Materials Express and Applied Physics Letters.
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.