Getao Du
Impact in
-
- Brain Tumor Detection and Classification
-
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
-
- Muscle Physiology and Disorders 2
-
- Muscle activation and electromyography studies 2
- Nanoplatforms for cancer theranostics 2
- Co-authors
- Yonghua Zhan (10 shared papers)Xueli Chen (3 shared papers)Jimin Liang (5 shared papers)Xu Cao (1 shared paper)Wenhua Zhan (4 shared papers)Yun Zeng (2 shared papers)Yayan Wu (2 shared papers)Yingying Guo (1 shared paper)
- Journals
- Biomedical Signal Processing and Control (2 papers)Frontiers in Pharmacology (1 paper)Journal of Pharmacy and Pharmacology (1 paper)Anti-Cancer Agents in Medicinal Chemistry (1 paper)Journal of Molecular Modeling (1 paper)
- Partner nations
- ChinaSaint Kitts and Nevis
In The Last Decade
Getao Du
12 papers receiving 468 citations
Getao Du's Hit Papers
Peers
Comparison fields: 5 of 108
- Neurology 54
- Computer Vision and Pattern Recognition 142
- Radiology, Nuclear Medicine and Imaging 125
- Health Informatics 4
- Artificial Intelligence 91
Countries citing papers authored by Getao Du
This map shows the geographic impact of Getao Du'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 Getao Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Getao Du more than expected).
Fields of papers citing papers by Getao Du
This network shows the impact of papers produced by Getao Du. 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 Getao Du. The network helps show where Getao Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Getao Du, 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 | Medical Image Segmentation based on U-Net: A Review Hit paper breakdown → | 2020 | 380 |
| 2 | 2020 | 18 | |
| 3 | 2020 | 16 | |
| 4 | 2022 | 16 | |
| 5 | 2020 | 14 | |
| 6 | 2022 | 13 | |
| 7 | 2020 | 9 | |
| 8 | 2020 | 7 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2021 | 1 | |
| 13 | 2023 | 0 |
About Getao Du
Getao Du is a scholar working on Molecular Biology, Biomedical Engineering, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Biomaterials, having authored 13 papers that have together received 480 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Digital Imaging for Blood Diseases (2 papers), Photodynamic Therapy Research Studies (2 papers), Muscle Physiology and Disorders (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Muscle activation and electromyography studies (2 papers), Diabetic Foot Ulcer Assessment and Management (2 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Neurology (54 citations), Computer Vision and Pattern Recognition (142 citations), Radiology, Nuclear Medicine and Imaging (125 citations), Health Informatics (4 citations) and Artificial Intelligence (91 citations). Getao Du has collaborated with scholars based in China and Saint Kitts and Nevis. Frequent co-authors include Yonghua Zhan, Xueli Chen, Jimin Liang, Xu Cao, Wenhua Zhan, Yun Zeng, Yayan Wu, Yingying Guo, Dan Chen and Xinyue Liu. Their work appears in journals such as Biomedical Signal Processing and Control, Frontiers in Pharmacology, Journal of Pharmacy and Pharmacology, Anti-Cancer Agents in Medicinal Chemistry and Journal of Molecular Modeling.
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.