Mingze Xu
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Biomaterials top 10%
Papers in
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- Human Pose and Action Recognition 4
- Co-authors
- David Crandall (4 shared papers)Larry S. Davis (2 shared papers)Mingfei Gao (2 shared papers)Yuanjun Xiong (4 shared papers)Qingzhu Zeng (3 shared papers)Yang Yuan (3 shared papers)Yi-Ting Chen (1 shared paper)Wei Xia (3 shared papers)
- Journals
- Scientific Reports (2 papers)International Journal of Biological Macromolecules (2 papers)Food Chemistry (2 papers)Analytical Methods (2 papers)International Immunopharmacology (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Mingze Xu
57 papers receiving 1.1k citations
Mingze Xu's Hit Papers
Peers
Comparison fields: 5 of 136
- Computer Vision and Pattern Recognition 307
- Biomaterials 103
- Pharmaceutical Science 43
- Food Science 118
- Molecular Medicine 32
Countries citing papers authored by Mingze Xu
This map shows the geographic impact of Mingze 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 Mingze Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingze Xu more than expected).
Fields of papers citing papers by Mingze Xu
This network shows the impact of papers produced by Mingze 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 Mingze Xu. The network helps show where Mingze Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingze 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
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MeMOT: Multi-Object Tracking with Memory Hit paper breakdown → | 2022 | 123 |
| 2 | 2018 | 119 | |
| 3 | 2019 | 95 | |
| 4 | 2022 | 53 | |
| 5 | 2019 | 47 | |
| 6 | 2020 | 37 | |
| 7 | 2022 | 34 | |
| 8 | 2016 | 31 | |
| 9 | 2016 | 29 | |
| 10 | 2020 | 29 | |
| 11 | 2022 | 28 | |
| 12 | 2019 | 28 | |
| 13 | 2019 | 27 | |
| 14 | 2018 | 24 | |
| 15 | 2019 | 23 | |
| 16 | 2013 | 21 | |
| 17 | 2022 | 20 | |
| 18 | 2020 | 20 | |
| 19 | 2021 | 20 | |
| 20 | 2014 | 19 |
About Mingze Xu
Mingze Xu is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Atmospheric Science, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cryospheric studies and observations (5 papers), Proteins in Food Systems (5 papers), Arctic and Antarctic ice dynamics (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Climate change and permafrost (4 papers), Human Pose and Action Recognition (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Polysaccharides Composition and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (307 citations), Biomaterials (103 citations), Pharmaceutical Science (43 citations), Food Science (118 citations) and Molecular Medicine (32 citations). Mingze Xu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include David Crandall, Larry S. Davis, Mingfei Gao, Yuanjun Xiong, Qingzhu Zeng, Yang Yuan, Yi-Ting Chen, Wei Xia, Jiarui Cai and Zhuowen Tu. Their work appears in journals such as Scientific Reports, International Journal of Biological Macromolecules, Food Chemistry, Analytical Methods and International Immunopharmacology.
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.