Minghao Xu
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging
- Media Technology top 10%
- Cancer Research
- Topics
- Domain Adaptation and Few-Shot Learning (6 papers)Multimodal Machine Learning Applications (5 papers)Advanced Image and Video Retrieval Techniques (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceRadiology, Nuclear Medicine and Imaging
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)2021 IEEE/CVF International Conference on Computer Vision (ICCV)
In The Last Decade
Minghao Xu
11 papers receiving 666 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 493
- Computer Vision and Pattern Recognition 483
- Radiology, Nuclear Medicine and Imaging 92
- Media Technology 34
- Cancer Research 34
Countries citing papers authored by Minghao Xu
This map shows the geographic impact of Minghao 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 Minghao Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minghao Xu more than expected).
Fields of papers citing papers by Minghao Xu
This network shows the impact of papers produced by Minghao 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 Minghao Xu. The network helps show where Minghao Xu may publish in the future.
Co-authorship network of co-authors of Minghao Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Minghao Xu. A scholar is included among the top collaborators of Minghao Xu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Minghao Xu. Minghao Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 16 | |
| 3 | 52 | |
| 4 | Joint Modeling of Visual Objects and Relations for Scene Graph Generation | 5 |
| 5 | 16 | |
| 6 | 23 | |
| 7 | 32 | |
| 8 | 190 | |
| 9 | 224 | |
| 10 | 15 | |
| 11 | 100 |
About Minghao Xu
Minghao Xu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Geography, Planning and Development, having authored 11 papers that have together received 675 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (483 citations), Artificial Intelligence (493 citations) and Radiology, Nuclear Medicine and Imaging (92 citations). Minghao Xu has collaborated with scholars based in China, Sweden and Canada. Frequent co-authors include Bingbing Ni, Wenjun Zhang, Qi Tian, Jian Zhang, Hang Wang, Chengjie Wang, Teng Li, Xiaokang Yang, Chenglong Zhao and Hang Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.