Mingyang Ling
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Video Analysis and Summarization
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Advanced Graph Neural Networks
Papers in
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- Advanced Image Processing Techniques 3
- Image Enhancement Techniques 3
- Advanced Vision and Imaging 2
- Advanced Image and Video Retrieval Techniques 1
- Multimodal Machine Learning Applications 1
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- Natural Language Processing Techniques 1
- Advanced Graph Neural Networks 1
- Co-authors
- Jianfei Cai (1 shared paper)Handong Zhao (1 shared paper)Jiuxiang Gu (1 shared paper)Zhe Lin (1 shared paper)Sheng Li (1 shared paper)Kan Chang (4 shared papers)Richard C. Wang (1 shared paper)William W. Cohen (1 shared paper)
- Journals
- IEEE Transactions on Computational Imaging (1 paper)Computers & Graphics (1 paper)Neural Networks (1 paper)Monash University Research Portal (Monash University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Mingyang Ling
5 papers receiving 208 citations
Peers
Comparison fields: 5 of 35
- Computer Vision and Pattern Recognition 186
- Artificial Intelligence 116
- Media Technology 8
- Computer Graphics and Computer-Aided Design 3
- Geography, Planning and Development 3
Countries citing papers authored by Mingyang Ling
This map shows the geographic impact of Mingyang Ling'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 Mingyang Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyang Ling more than expected).
Fields of papers citing papers by Mingyang Ling
This network shows the impact of papers produced by Mingyang Ling. 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 Mingyang Ling. The network helps show where Mingyang Ling may publish in the future.
Co-authors
The 16 scholars most cited alongside Mingyang Ling, 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 | 2019 | 190 | |
| 2 | 2024 | 8 | |
| 3 | 2016 | 7 | |
| 4 | 2024 | 4 | |
| 5 | 2025 | 3 | |
| 6 | 2024 | 0 |
About Mingyang Ling
Mingyang Ling is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Information Systems and Infectious Diseases, having authored 6 papers that have together received 212 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (3 papers), Image Enhancement Techniques (3 papers), Advanced Image Fusion Techniques (2 papers), Advanced Vision and Imaging (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Natural Language Processing Techniques (1 paper), Advanced Graph Neural Networks (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (186 citations), Artificial Intelligence (116 citations), Media Technology (8 citations), Computer Graphics and Computer-Aided Design (3 citations) and Geography, Planning and Development (3 citations). Mingyang Ling has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jianfei Cai, Handong Zhao, Jiuxiang Gu, Zhe Lin, Sheng Li, Kan Chang, Richard C. Wang, William W. Cohen, Lidong Bing and Shuping Dang. Their work appears in journals such as IEEE Transactions on Computational Imaging, Computers & Graphics, Neural Networks, Monash University Research Portal (Monash University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.