Xiaomei Xu
- Computer Vision and Pattern Recognition top 5%
- Neurology top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Co-authors
- Xiaobo LaiGuang YangW. YangYongkai LiuHe HuangJianming YeYing FangWenbo Zhang
- Topics
- Brain Tumor Detection and Classification (6 papers)Advanced Neural Network Applications (6 papers)Medical Image Segmentation Techniques (4 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Xiaomei Xu
17 papers receiving 445 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 301
- Neurology 286
- Radiology, Nuclear Medicine and Imaging 138
- Artificial Intelligence 123
- Biomedical Engineering 37
Countries citing papers authored by Xiaomei Xu
This map shows the geographic impact of Xiaomei 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 Xiaomei Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaomei Xu more than expected).
Fields of papers citing papers by Xiaomei Xu
This network shows the impact of papers produced by Xiaomei 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 Xiaomei Xu. The network helps show where Xiaomei Xu may publish in the future.
Co-authorship network of co-authors of Xiaomei Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaomei Xu. A scholar is included among the top collaborators of Xiaomei 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 Xiaomei Xu. Xiaomei 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 | 3 | |
| 2 | 9 | |
| 3 | 103 | |
| 4 | 4 | |
| 5 | 12 | |
| 6 | 4 | |
| 7 | 22 | |
| 8 | 79 | |
| 9 | 100 | |
| 10 | 71 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 17 | |
| 15 | 22 | |
| 16 | 12 | |
| 17 | A Estimation Method of Energy Efficiency for Parallel HEV | 1 |
| 18 | Current Ecological Environment Situation of Semi-arid Area of the Loess Plateau in Longdong and Countermeasure should be Taken | 2 |
About Xiaomei Xu
Xiaomei Xu is a scholar working on Neurology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 466 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (6 papers), Advanced Neural Network Applications (6 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Neurology (286 citations), Computer Vision and Pattern Recognition (301 citations) and Radiology, Nuclear Medicine and Imaging (138 citations). Xiaomei Xu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xiaobo Lai, Guang Yang, W. Yang, Yongkai Liu, He Huang, Jianming Ye, Ying Fang, Wenbo Zhang, He Huang and Ruipeng Li. Their work appears in journals such as Frontiers in Oncology, Computers in Biology and Medicine and Frontiers in Aging Neuroscience.
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.