Mengmeng Xu
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- Human Pose and Action Recognition 4
- Advanced Image and Video Retrieval Techniques 3
- Advanced Neural Network Applications 3
- Video Surveillance and Tracking Methods 2
- Multimodal Machine Learning Applications 2
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- Industrial Vision Systems and Defect Detection 2
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- Domain Adaptation and Few-Shot Learning 2
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- Image Processing Techniques and Applications 1
- Co-authors
- Bernard GhanemJunfeng JingPengfei LiYancheng BaiBrais MartínezXiatian ZhuQi LiPaul M. Thompson
- Cited by
- Computer Vision and Pattern RecognitionIndustrial and Manufacturing EngineeringArtificial Intelligence
- Journals
- IEEE Transactions on Medical Imaging (1 paper)Sensors (1 paper)IEEE Transactions on Circuits and Systems for Video Technology (1 paper)
- Partner nations
- ChinaSaudi ArabiaUnited Kingdom
In The Last Decade
Mengmeng Xu
12 papers receiving 151 citations
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 117
- Industrial and Manufacturing Engineering 33
- Artificial Intelligence 52
- Media Technology 14
- Polymers and Plastics 21
Countries citing papers authored by Mengmeng Xu
This map shows the geographic impact of Mengmeng Xu'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 Mengmeng Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengmeng Xu more than expected).
Fields of papers citing papers by Mengmeng Xu
This network shows the impact of papers produced by Mengmeng Xu. 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 Mengmeng Xu. The network helps show where Mengmeng Xu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mengmeng Xu, 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 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 5 | |
| 5 | Low-Fidelity Video Encoder Optimization for Temporal Action Localization | 2021 | 13 |
| 6 | 2021 | 32 | |
| 7 | Salient object detection based on conditional generative adversarial networks for video | 2019 | 1 |
| 8 | Missing Labels in Object Detection | 2019 | 16 |
| 9 | Semantic Part RCNN for Real-World Pedestrian Detection. | 2019 | 3 |
| 10 | 2019 | 17 | |
| 11 | 2015 | 17 | |
| 12 | 2014 | 31 | |
| 13 | 2004 | 14 |
About Mengmeng Xu
Mengmeng Xu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 13 papers that have together received 154 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Advanced Neural Network Applications (3 papers), Video Surveillance and Tracking Methods (2 papers), Multimodal Machine Learning Applications (2 papers), Industrial Vision Systems and Defect Detection (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (117 citations), Industrial and Manufacturing Engineering (33 citations) and Artificial Intelligence (52 citations). Mengmeng Xu has collaborated with scholars based in China, Saudi Arabia and United Kingdom. Frequent co-authors include Bernard Ghanem, Junfeng Jing, Pengfei Li, Yancheng Bai, Brais Martínez, Xiatian Zhu, Qi Li, Paul M. Thompson, Arthur W. Toga and Tao Xiang. Their work appears in journals such as IEEE Transactions on Medical Imaging, Sensors and IEEE Transactions on Circuits and Systems for Video Technology.
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.