Jie Du
Impact in
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Artificial Intelligence top 5%
- Machine Learning and ELM
- AI in cancer detection
- Domain Adaptation and Few-Shot Learning
- Imbalanced Data Classification Techniques
Papers in
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- Advanced Neural Network Applications 12
- Medical Image Segmentation Techniques 6
- Face and Expression Recognition 5
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- Machine Learning and ELM 6
- Imbalanced Data Classification Techniques 5
- Domain Adaptation and Few-Shot Learning 4
- Co-authors
- Chi‐Man Vong (14 shared papers)Tianfu Wang (22 shared papers)C. L. Philip Chen (2 shared papers)Baiying Lei (13 shared papers)Peng Liu (6 shared papers)Yuanman Li (5 shared papers)Jing Qin (2 shared papers)Jiuwen Cao (2 shared papers)
- Journals
- Medical Image Analysis (5 papers)IEEE Transactions on Neural Networks and Learning Systems (4 papers)Neural Networks (4 papers)IEEE Transactions on Cybernetics (2 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Jie Du
39 papers receiving 941 citations
Peers
Comparison fields: 5 of 108
- Computer Vision and Pattern Recognition 315
- Artificial Intelligence 469
- Neurology 100
- Health Informatics 14
- Radiology, Nuclear Medicine and Imaging 221
Countries citing papers authored by Jie Du
This map shows the geographic impact of Jie 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 Jie Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Du more than expected).
Fields of papers citing papers by Jie Du
This network shows the impact of papers produced by Jie 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 Jie Du. The network helps show where Jie Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Jie 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
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 149 | |
| 2 | 2021 | 92 | |
| 3 | 2019 | 91 | |
| 4 | 2020 | 61 | |
| 5 | 2022 | 51 | |
| 6 | 2021 | 49 | |
| 7 | 2020 | 38 | |
| 8 | 2020 | 36 | |
| 9 | 2021 | 32 | |
| 10 | 2018 | 30 | |
| 11 | 2021 | 30 | |
| 12 | 2021 | 30 | |
| 13 | 2022 | 28 | |
| 14 | 2019 | 25 | |
| 15 | 2021 | 23 | |
| 16 | 2020 | 22 | |
| 17 | 2017 | 20 | |
| 18 | 2023 | 16 | |
| 19 | 2022 | 13 | |
| 20 | 2022 | 13 |
About Jie Du
Jie Du is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Pulmonary and Respiratory Medicine, having authored 42 papers that have together received 957 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (12 papers), Machine Learning and ELM (6 papers), Medical Image Segmentation Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), COVID-19 diagnosis using AI (5 papers), Face and Expression Recognition (5 papers), Imbalanced Data Classification Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (315 citations), Artificial Intelligence (469 citations), Neurology (100 citations), Health Informatics (14 citations) and Radiology, Nuclear Medicine and Imaging (221 citations). Jie Du has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Chi‐Man Vong, Tianfu Wang, C. L. Philip Chen, Baiying Lei, Peng Liu, Yuanman Li, Jing Qin, Jiuwen Cao, Alejandro F. Frangi and Yongtao Zhang. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Neural Networks and Learning Systems, Neural Networks, IEEE Transactions on Cybernetics and IEEE Journal of Biomedical and Health Informatics.
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.