Qiaowei Zhang
- Computer Vision and Pattern Recognition top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Artificial Intelligence top 2%
- Biomedical Engineering top 10%
- Neurology top 5%
- Co-authors
- Hongjie HuLanfen LinYutaro IwamotoYen‐Wei ChenXian‐Hua HanRuofeng TongJian WuHuimin Huang
- Topics
- Neurosurgical Procedures and Complications (7 papers)Advanced X-ray and CT Imaging (7 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)
In The Last Decade
Qiaowei Zhang
33 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Computer Vision and Pattern Recognition 881
- Radiology, Nuclear Medicine and Imaging 825
- Artificial Intelligence 512
- Biomedical Engineering 436
- Neurology 261
Countries citing papers authored by Qiaowei Zhang
This map shows the geographic impact of Qiaowei Zhang'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 Qiaowei Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiaowei Zhang more than expected).
Fields of papers citing papers by Qiaowei Zhang
This network shows the impact of papers produced by Qiaowei Zhang. 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 Qiaowei Zhang. The network helps show where Qiaowei Zhang may publish in the future.
Co-authorship network of co-authors of Qiaowei Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Qiaowei Zhang. A scholar is included among the top collaborators of Qiaowei Zhang 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 Qiaowei Zhang. Qiaowei Zhang 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 | 36 | |
| 3 | 3 | |
| 4 | UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentationbreakdown → | 1600 |
| 5 | 16 | |
| 6 | 7 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | 31 | |
| 10 | 6 | |
| 11 | Computer-Aided Diagnosis of Liver Cancers Using Deep Learning with Fine-tuning | 1 |
| 12 | 31 | |
| 13 | 8 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 16 | |
| 17 | 145 | |
| 18 | 26 | |
| 19 | 1 | |
| 20 | 17 |
About Qiaowei Zhang
Qiaowei Zhang is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 35 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neurosurgical Procedures and Complications (7 papers), Advanced X-ray and CT Imaging (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (881 citations), Radiology, Nuclear Medicine and Imaging (825 citations) and Neurology (261 citations). Qiaowei Zhang has collaborated with scholars based in China, Japan and Germany. Frequent co-authors include Hongjie Hu, Lanfen Lin, Yutaro Iwamoto, Yen‐Wei Chen, Xian‐Hua Han, Ruofeng Tong, Jian Wu, Huimin Huang, Fabian Bamberg and Maximilian Reiser. Their work appears in journals such as IEEE Access, Cement and Concrete Composites and Medical Physics.
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.