Mingming Liu
Impact in
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- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
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- Acute Kidney Injury Research
Papers in
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- Advanced Image and Video Retrieval Techniques 10
- Advanced Vision and Imaging 7
- Multimodal Machine Learning Applications 5
- Face and Expression Recognition 4
- Visual Attention and Saliency Detection 2
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- Domain Adaptation and Few-Shot Learning 5
- Co-authors
- Bing Liu (8 shared papers)Yong Zhou (5 shared papers)Jiaqi Zhao (1 shared paper)Yanwen Guo (7 shared papers)Jun Wang (3 shared papers)Wei Sun (2 shared papers)Xiao‐Ming Meng (1 shared paper)Yibo Wang (2 shared papers)
- Journals
- ACM Transactions on Multimedia Computing Communications and Applications (3 papers)International Journal of Machine Learning and Cybernetics (2 papers)The Visual Computer (2 papers)Knowledge-Based Systems (2 papers)Applied Surface Science (1 paper)
- Partner nations
- ChinaIrelandUnited States
In The Last Decade
Mingming Liu
20 papers receiving 269 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 127
- Nephrology 29
- Catalysis 28
- Media Technology 20
- Renewable Energy, Sustainability and the Environment 31
Countries citing papers authored by Mingming Liu
This map shows the geographic impact of Mingming 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 Mingming Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingming Liu more than expected).
Fields of papers citing papers by Mingming Liu
This network shows the impact of papers produced by Mingming 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 Mingming Liu. The network helps show where Mingming Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingming Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 71 | |
| 2 | 2019 | 67 | |
| 3 | 2023 | 26 | |
| 4 | 2016 | 20 | |
| 5 | 2013 | 19 | |
| 6 | 2017 | 14 | |
| 7 | 2015 | 12 | |
| 8 | 2024 | 10 | |
| 9 | 2023 | 9 | |
| 10 | 2018 | 7 | |
| 11 | 2016 | 4 | |
| 12 | 2016 | 4 | |
| 13 | 2018 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2011 | 2 | |
| 16 | 2022 | 2 | |
| 17 | Improvement of Convolutional Neural Network Structure for Image Steganalysis | 2018 | 1 |
| 18 | 2019 | 1 | |
| 19 | 2010 | 1 | |
| 20 | 2018 | 1 |
About Mingming Liu
Mingming Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Media Technology and Molecular Biology, having authored 26 papers that have together received 276 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (10 papers), Advanced Vision and Imaging (7 papers), Multimodal Machine Learning Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Face and Expression Recognition (4 papers), Robotics and Sensor-Based Localization (4 papers), Advanced Algorithms and Applications (2 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (127 citations), Nephrology (29 citations), Catalysis (28 citations), Media Technology (20 citations) and Renewable Energy, Sustainability and the Environment (31 citations). Mingming Liu has collaborated with scholars based in China, Ireland and United States. Frequent co-authors include Bing Liu, Yong Zhou, Jiaqi Zhao, Yanwen Guo, Jun Wang, Wei Sun, Xiao‐Ming Meng, Yibo Wang, Wei Sun and Yong Men. Their work appears in journals such as ACM Transactions on Multimedia Computing Communications and Applications, International Journal of Machine Learning and Cybernetics, The Visual Computer, Knowledge-Based Systems and Applied Surface Science.
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.