Chen Zu
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
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- Medical Image Segmentation Techniques 9
- Face and Expression Recognition 6
- Image Retrieval and Classification Techniques 5
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- Medical Imaging Techniques and Applications 6
- Radiomics and Machine Learning in Medical Imaging 6
- Co-authors
- Xi Wu (21 shared papers)Yan Wang (19 shared papers)Luping Zhou (12 shared papers)Dinggang Shen (13 shared papers)Daoqiang Zhang (14 shared papers)Lei Wang (6 shared papers)Jiliu Zhou (12 shared papers)Jiliu Zhou (5 shared papers)
- Journals
- Pattern Recognition (5 papers)Neurocomputing (4 papers)Knowledge-Based Systems (3 papers)Medical Image Analysis (3 papers)Brain Imaging and Behavior (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Chen Zu
50 papers receiving 1.5k citations
Chen Zu's Hit Papers
Peers
Comparison fields: 5 of 118
- Neurology 276
- Computer Vision and Pattern Recognition 564
- Radiology, Nuclear Medicine and Imaging 643
- Radiation 211
- Health Informatics 19
Countries citing papers authored by Chen Zu
This map shows the geographic impact of Chen Zu'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 Chen Zu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Zu more than expected).
Fields of papers citing papers by Chen Zu
This network shows the impact of papers produced by Chen Zu. 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 Chen Zu. The network helps show where Chen Zu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Zu, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 3D conditional generative adversarial networks for high-quality PET image estimation at low dose Hit paper breakdown → | 2018 | 321 |
| 2 | 2018 | 155 | |
| 3 | 2019 | 113 | |
| 4 | Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning Hit paper breakdown → | 2022 | 112 |
| 5 | 2021 | 74 | |
| 6 | 2015 | 64 | |
| 7 | 2022 | 63 | |
| 8 | 2021 | 56 | |
| 9 | 2021 | 49 | |
| 10 | 2018 | 39 | |
| 11 | 2015 | 37 | |
| 12 | 2022 | 35 | |
| 13 | 2009 | 32 | |
| 14 | 2022 | 31 | |
| 15 | 2016 | 28 | |
| 16 | 2018 | 24 | |
| 17 | 2023 | 23 | |
| 18 | 2018 | 23 | |
| 19 | 2019 | 22 | |
| 20 | 2016 | 18 |
About Chen Zu
Chen Zu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Neurology and Radiation, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (9 papers), Medical Image Segmentation Techniques (9 papers), Face and Expression Recognition (6 papers), Medical Imaging Techniques and Applications (6 papers), Advanced Radiotherapy Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Image Retrieval and Classification Techniques (5 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Neurology (276 citations), Computer Vision and Pattern Recognition (564 citations), Radiology, Nuclear Medicine and Imaging (643 citations), Radiation (211 citations) and Health Informatics (19 citations). Chen Zu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xi Wu, Yan Wang, Luping Zhou, Dinggang Shen, Daoqiang Zhang, Lei Wang, Jiliu Zhou, Jiliu Zhou, Weili Lin and Biting Yu. Their work appears in journals such as Pattern Recognition, Neurocomputing, Knowledge-Based Systems, Medical Image Analysis and Brain Imaging and Behavior.
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.