Mingli Song
Impact in
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- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Human Pose and Action Recognition
- Image Enhancement Techniques
- Face and Expression Recognition
- Media Technology top 0.5%
Papers in
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- Advanced Image and Video Retrieval Techniques 44
- Advanced Neural Network Applications 40
- Face recognition and analysis 21
- Video Surveillance and Tracking Methods 21
- Face and Expression Recognition 19
- Visual Attention and Saliency Detection 18
- Human Pose and Action Recognition 15
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- Domain Adaptation and Few-Shot Learning 30
- Journals
- Neurocomputing (16 papers)IEEE Transactions on Image Processing (15 papers)IEEE Transactions on Knowledge and Data Engineering (7 papers)IEEE Transactions on Neural Networks and Learning Systems (5 papers)Information Sciences (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Mingli Song
215 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Computer Vision and Pattern Recognition 3.9k
- Media Technology 540
- Computational Mathematics 36
- Computer Graphics and Computer-Aided Design 171
- Artificial Intelligence 1.5k
Countries citing papers authored by Mingli Song
This map shows the geographic impact of Mingli Song'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 Mingli Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingli Song more than expected).
Fields of papers citing papers by Mingli Song
This network shows the impact of papers produced by Mingli Song. 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 Mingli Song. The network helps show where Mingli Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingli Song, 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 | 2025 | 2 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 3 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 7 | |
| 14 | 2022 | 2 | |
| 15 | 2021 | 6 | |
| 16 | Factorizable Graph Convolutional Networks | 2020 | 12 |
| 17 | Hybrid Sequence Encoder for Text Based Video Retrieval. | 2019 | 3 |
| 18 | Joint shot boundary detection and key frame extraction | 2012 | 15 |
| 19 | Detecting discontinuities for surface reconstruction | 2012 | 3 |
| 20 | Spatial graphlet matching kernel for recognizing aerial image categories | 2012 | 13 |
About Mingli Song
Mingli Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Computational Mathematics and Signal Processing, having authored 237 papers that have together received 5.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (44 papers), Advanced Neural Network Applications (40 papers), Domain Adaptation and Few-Shot Learning (30 papers), Face recognition and analysis (21 papers), Video Surveillance and Tracking Methods (21 papers), Face and Expression Recognition (19 papers), Visual Attention and Saliency Detection (18 papers) and Human Pose and Action Recognition (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.9k citations), Media Technology (540 citations), Computational Mathematics (36 citations), Computer Graphics and Computer-Aided Design (171 citations) and Artificial Intelligence (1.5k citations). Mingli Song has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chun Chen, Dacheng Tao, Jiajun Bu, Xinchao Wang, Zunlei Feng, Yongcheng Jing, Jingwen Ye, Luming Zhang, Yezhou Yang and Jie Song. Their work appears in journals such as Neurocomputing, IEEE Transactions on Image Processing, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Neural Networks and Learning Systems and Information Sciences.
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.