Guangqi Liu
- Molecular Biology
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Artificial Intelligence
- Topics
- Advanced Steganography and Watermarking Techniques (12 papers)Digital Media Forensic Detection (8 papers)Chaos-based Image/Signal Encryption (5 papers)
- Journals
- Brain ResearchLife SciencesInternational Journal of Environmental Research and Public Health
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Guangqi Liu
47 papers receiving 485 citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Molecular Biology 103
- Electrical and Electronic Engineering 91
- Computer Vision and Pattern Recognition 84
- Aerospace Engineering 82
- Artificial Intelligence 59
Countries citing papers authored by Guangqi Liu
This map shows the geographic impact of Guangqi Liu'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 Guangqi Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangqi Liu more than expected).
Fields of papers citing papers by Guangqi Liu
This network shows the impact of papers produced by Guangqi Liu. 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 Guangqi Liu. The network helps show where Guangqi Liu may publish in the future.
Co-authorship network of co-authors of Guangqi Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Guangqi Liu. A scholar is included among the top collaborators of Guangqi Liu 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 Guangqi Liu. Guangqi Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | CircRNA DICAR as a novel endogenous regulator for diabetic cardiomyopathy and diabetic pyroptosis of cardiomyocytesbreakdown → | 75 |
| 4 | 22 | |
| 5 | 1 | |
| 6 | 51 | |
| 7 | 11 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 18 | |
| 11 | 24 | |
| 12 | 33 | |
| 13 | 1 | |
| 14 | 17 | |
| 15 | 9 | |
| 16 | 7 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 0 | |
| 20 | The edge detection based on wavelet analysis | 0 |
About Guangqi Liu
Guangqi Liu is a scholar working on Computer Vision and Pattern Recognition, Modeling and Simulation and Health, having authored 53 papers that have together received 507 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (12 papers), Digital Media Forensic Detection (8 papers) and Chaos-based Image/Signal Encryption (5 papers). The work is most often cited by research in Modeling and Simulation (33 citations), Computer Vision and Pattern Recognition (84 citations) and Media Technology (30 citations). Guangqi Liu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Haibo Luo, Moran Ju, Yangmu Huang, Zhi‐Jie Zheng, Qinghai Ding, Shujiang Xu, Xiang Li, Min Sha, Zheng Xie and Qiong Yuan. Their work appears in journals such as Brain Research, Life Sciences and International Journal of Environmental Research and Public Health.
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.