Qi Cui
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Media Technology top 10%
- Electrical and Electronic Engineering
- Hardware and Architecture top 10%
- Topics
- Advanced Steganography and Watermarking Techniques (11 papers)Digital Media Forensic Detection (10 papers)Generative Adversarial Networks and Image Synthesis (7 papers)
- Journals
- IEEE AccessIEEE Transactions on Wireless CommunicationsInternational Journal of Biological Macromolecules
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Qi Cui
33 papers receiving 313 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 166
- Artificial Intelligence 70
- Media Technology 46
- Electrical and Electronic Engineering 43
- Hardware and Architecture 41
Countries citing papers authored by Qi Cui
This map shows the geographic impact of Qi Cui'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 Qi Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Cui more than expected).
Fields of papers citing papers by Qi Cui
This network shows the impact of papers produced by Qi Cui. 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 Qi Cui. The network helps show where Qi Cui may publish in the future.
Co-authorship network of co-authors of Qi Cui
This figure shows the co-authorship network connecting the top 25 collaborators of Qi Cui. A scholar is included among the top collaborators of Qi Cui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qi Cui. Qi Cui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | Chapter Five - Fingerprint liveness detection using an improved CNN with the spatial pyramid pooling structure. | 1 |
| 10 | 4 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 27 | |
| 14 | Fast American Sign Language Image Recognition Using CNNs with Fine-tuning | 1 |
| 15 | 36 | |
| 16 | 21 | |
| 17 | 15 | |
| 18 | 59 | |
| 19 | 2 | |
| 20 | An Approach for Compliance Validation of TPM through Applications | 4 |
About Qi Cui
Qi Cui is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 36 papers that have together received 335 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (11 papers), Digital Media Forensic Detection (10 papers) and Generative Adversarial Networks and Image Synthesis (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (166 citations), Hardware and Architecture (41 citations) and Media Technology (46 citations). Qi Cui has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Ruohan Meng, Zhili Zhou, Chengsheng Yuan, Xingming Sun, Guonian Lv, Jie Wang, Min Wang, Dongping Ming, Sixiang Wang and Zhangjie Fu. Their work appears in journals such as IEEE Access, IEEE Transactions on Wireless Communications and International Journal of Biological Macromolecules.
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.