Mingqi Gao
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- Medical Image Segmentation Techniques 8
- Advanced Neural Network Applications 7
- Advanced Image and Video Retrieval Techniques 5
- Image Retrieval and Classification Techniques 4
- Visual Attention and Saliency Detection 3
- Image and Object Detection Techniques 3
- Video Surveillance and Tracking Methods 3
- Media Technology top 10%
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- AI in cancer detection 3
- Co-authors
- Bin FangJungong HanFeng ZhengJames J. Q. YuPeihua LiQilong WangHao WangWangmeng Zuo
- Journals
- IEEE Transactions on Image Processing (1 paper)Pattern Recognition (2 papers)Physics in Medicine and Biology (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Mingqi Gao
21 papers receiving 289 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 232
- Media Technology 39
- Neurology 20
- Radiology, Nuclear Medicine and Imaging 48
- Artificial Intelligence 64
Countries citing papers authored by Mingqi Gao
This map shows the geographic impact of Mingqi Gao'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 Mingqi Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingqi Gao more than expected).
Fields of papers citing papers by Mingqi Gao
This network shows the impact of papers produced by Mingqi Gao. 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 Mingqi Gao. The network helps show where Mingqi Gao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mingqi Gao, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 11 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 55 | |
| 7 | 2022 | 10 | |
| 8 | 2021 | 4 | |
| 9 | 2019 | 44 | |
| 10 | 2019 | 11 | |
| 11 | 2018 | 51 | |
| 12 | 2018 | 4 | |
| 13 | 2017 | 11 | |
| 14 | 2017 | 10 | |
| 15 | 2017 | 9 | |
| 16 | 2017 | 2 | |
| 17 | 2016 | 3 | |
| 18 | 2016 | 18 | |
| 19 | 2016 | 6 | |
| 20 | 2016 | 6 |
About Mingqi Gao
Mingqi Gao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction, having authored 22 papers that have together received 296 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Advanced Neural Network Applications (7 papers), Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (4 papers), Visual Attention and Saliency Detection (3 papers), AI in cancer detection (3 papers), Image and Object Detection Techniques (3 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (232 citations), Media Technology (39 citations) and Neurology (20 citations). Mingqi Gao has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Bin Fang, Jungong Han, Feng Zheng, James J. Q. Yu, Peihua Li, Qilong Wang, Hao Wang, Wangmeng Zuo, Caifeng Shan and Guiguang Ding. Their work appears in journals such as IEEE Transactions on Image Processing, Pattern Recognition and Physics in Medicine and Biology.
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.