Su Ruan
Impact in
- Health Informatics top 1%
- Neurology top 1%
- Brain Tumor Detection and Classification
Papers in
-
- Medical Image Segmentation Techniques 77
- Advanced Neural Network Applications 24
- Image Retrieval and Classification Techniques 20
-
- Radiomics and Machine Learning in Medical Imaging 51
- Medical Imaging Techniques and Applications 44
- Co-authors
- Tongxue Zhou (14 shared papers)Stéphane Canu (9 shared papers)Caroline Petitjean (15 shared papers)Pierre Véra (38 shared papers)Romain Modzelewski (15 shared papers)Roger Trullo (5 shared papers)Dong Nie (3 shared papers)Dinggang Shen (3 shared papers)
- Journals
- Medical Image Analysis (8 papers)Computerized Medical Imaging and Graphics (7 papers)Pattern Recognition (5 papers)Medical Physics (4 papers)Neurocomputing (4 papers)
- Partner nations
- FranceChinaUnited States
In The Last Decade
Su Ruan
157 papers receiving 4.8k citations
Su Ruan's Hit Papers
Peers
Comparison fields: 5 of 172
- Health Informatics 138
- Neurology 842
- Computer Vision and Pattern Recognition 2.0k
- Radiology, Nuclear Medicine and Imaging 2.0k
- Artificial Intelligence 1.4k
Countries citing papers authored by Su Ruan
This map shows the geographic impact of Su Ruan'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 Su Ruan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Ruan more than expected).
Fields of papers citing papers by Su Ruan
This network shows the impact of papers produced by Su Ruan. 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 Su Ruan. The network helps show where Su Ruan may publish in the future.
Co-authors
The 25 scholars most cited alongside Su Ruan, 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 171 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Medical Image Synthesis with Context-Aware Generative Adversarial Networks Hit paper breakdown → | 2017 | 426 |
| 2 | Medical Image Synthesis with Deep Convolutional Adversarial Networks Hit paper breakdown → | 2018 | 421 |
| 3 | A review: Deep learning for medical image segmentation using multi-modality fusion Hit paper breakdown → | 2019 | 417 |
| 4 | Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation Hit paper breakdown → | 2020 | 411 |
| 5 | 2003 | 360 | |
| 6 | 2011 | 149 | |
| 7 | 2021 | 141 | |
| 8 | 2010 | 128 | |
| 9 | 2006 | 128 | |
| 10 | Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review Hit paper breakdown → | 2023 | 116 |
| 11 | 2000 | 109 | |
| 12 | 2016 | 95 | |
| 13 | 2000 | 91 | |
| 14 | 2018 | 78 | |
| 15 | 2001 | 60 | |
| 16 | 2013 | 59 | |
| 17 | 2016 | 54 | |
| 18 | 2007 | 54 | |
| 19 | A robust agorithm for eye detection on gray intensity face without spectacles | 2005 | 51 |
| 20 | 2017 | 48 |
About Su Ruan
Su Ruan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Neurology and Media Technology, having authored 171 papers that have together received 5.0k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (77 papers), Radiomics and Machine Learning in Medical Imaging (51 papers), Medical Imaging Techniques and Applications (44 papers), Advanced Neural Network Applications (24 papers), Brain Tumor Detection and Classification (24 papers), Image Retrieval and Classification Techniques (20 papers), AI in cancer detection (17 papers) and Advanced Image Fusion Techniques (12 papers). The work is most often cited by research in Health Informatics (138 citations), Neurology (842 citations), Computer Vision and Pattern Recognition (2.0k citations), Radiology, Nuclear Medicine and Imaging (2.0k citations) and Artificial Intelligence (1.4k citations). Su Ruan has collaborated with scholars based in France, China and United States. Frequent co-authors include Tongxue Zhou, Stéphane Canu, Caroline Petitjean, Pierre Véra, Romain Modzelewski, Roger Trullo, Dong Nie, Dinggang Shen, Amine Amyar and D. Bloyet. Their work appears in journals such as Medical Image Analysis, Computerized Medical Imaging and Graphics, Pattern Recognition, Medical Physics and Neurocomputing.
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.