Mingzhu Shi
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Biomedical Engineering
- Renewable Energy, Sustainability and the Environment
- Computational Mechanics
- Topics
- Image and Signal Denoising Methods (10 papers)Advanced Image Processing Techniques (9 papers)Image Processing Techniques and Applications (5 papers)
- Cited by
- Media TechnologyComputer Vision and Pattern RecognitionRenewable Energy, Sustainability and the Environment
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Mingzhu Shi
21 papers receiving 288 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 157
- Media Technology 136
- Biomedical Engineering 74
- Renewable Energy, Sustainability and the Environment 48
- Computational Mechanics 44
Countries citing papers authored by Mingzhu Shi
This map shows the geographic impact of Mingzhu Shi'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 Mingzhu Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingzhu Shi more than expected).
Fields of papers citing papers by Mingzhu Shi
This network shows the impact of papers produced by Mingzhu Shi. 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 Mingzhu Shi. The network helps show where Mingzhu Shi may publish in the future.
Co-authorship network of co-authors of Mingzhu Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Mingzhu Shi. A scholar is included among the top collaborators of Mingzhu Shi 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 Mingzhu Shi. Mingzhu Shi 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 | 0 | |
| 3 | 34 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 24 | |
| 9 | 22 | |
| 10 | 4 | |
| 11 | 24 | |
| 12 | 42 | |
| 13 | 43 | |
| 14 | 1 | |
| 15 | Violence per ounce: is there a correlation between mineral values and conflict intensity? | 0 |
| 16 | 10 | |
| 17 | 2 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 20 |
About Mingzhu Shi
Mingzhu Shi is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 26 papers that have together received 294 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (10 papers), Advanced Image Processing Techniques (9 papers) and Image Processing Techniques and Applications (5 papers). The work is most often cited by research in Media Technology (136 citations), Computer Vision and Pattern Recognition (157 citations) and Renewable Energy, Sustainability and the Environment (48 citations). Mingzhu Shi has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shuaiqi Liu, Jie Zhao, Tingting Han, Zhihui Zhu, Peipei Zhu, Yiwang Chen, Xunfan Liao, Shaohai Hu, Amine Bermak and P.C.H. Chan. Their work appears in journals such as ACS Catalysis, Expert Systems with Applications and IEEE Access.
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.