Xin Yang
Impact in
- Health Informatics top 0.5%
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
-
- Medical Image Segmentation Techniques 24
- Advanced Neural Network Applications 24
- Generative Adversarial Networks and Image Synthesis 11
-
- Domain Adaptation and Few-Shot Learning 23
- AI in cancer detection 22
- Co-authors
- Pheng‐Ann Heng (28 shared papers)Dong Ni (72 shared papers)Lequan Yu (15 shared papers)Jing Qin (11 shared papers)Hao Chen (5 shared papers)Tianfu Wang (11 shared papers)Shengli Li (12 shared papers)Qi Dou (2 shared papers)
- Journals
- Medical Image Analysis (12 papers)IEEE Transactions on Medical Imaging (6 papers)Lecture notes in computer science (38 papers)Ultrasound in Medicine & Biology (3 papers)Computer Methods and Programs in Biomedicine (3 papers)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Xin Yang
114 papers receiving 4.3k citations
Xin Yang's Hit Papers
Peers
Comparison fields: 5 of 147
- Health Informatics 170
- Radiology, Nuclear Medicine and Imaging 1.8k
- Computer Vision and Pattern Recognition 1.7k
- Neurology 349
- Artificial Intelligence 1.5k
Countries citing papers authored by Xin Yang
This map shows the geographic impact of Xin Yang'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 Xin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Yang more than expected).
Fields of papers citing papers by Xin Yang
This network shows the impact of papers produced by Xin Yang. 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 Xin Yang. The network helps show where Xin Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin Yang, 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 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Learning in Medical Ultrasound Analysis: A Review Hit paper breakdown → | 2019 | 589 |
| 2 | 3D deeply supervised network for automated segmentation of volumetric medical images Hit paper breakdown → | 2017 | 471 |
| 3 | Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks Hit paper breakdown → | 2015 | 307 |
| 4 | 2017 | 277 | |
| 5 | Segment anything model for medical images? Hit paper breakdown → | 2023 | 275 |
| 6 | 2019 | 228 | |
| 7 | 2017 | 144 | |
| 8 | 2019 | 136 | |
| 9 | 2020 | 124 | |
| 10 | 2019 | 100 | |
| 11 | 2017 | 99 | |
| 12 | 2018 | 89 | |
| 13 | 2018 | 83 | |
| 14 | 2017 | 75 | |
| 15 | 2022 | 65 | |
| 16 | 2014 | 62 | |
| 17 | 2023 | 61 | |
| 18 | 2017 | 58 | |
| 19 | 2017 | 53 | |
| 20 | 2022 | 50 |
About Xin Yang
Xin Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Biomedical Engineering, having authored 128 papers that have together received 4.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (24 papers), Advanced Neural Network Applications (24 papers), Fetal and Pediatric Neurological Disorders (24 papers), Domain Adaptation and Few-Shot Learning (23 papers), AI in cancer detection (22 papers), Generative Adversarial Networks and Image Synthesis (11 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Cardiac Valve Diseases and Treatments (9 papers). The work is most often cited by research in Health Informatics (170 citations), Radiology, Nuclear Medicine and Imaging (1.8k citations), Computer Vision and Pattern Recognition (1.7k citations), Neurology (349 citations) and Artificial Intelligence (1.5k citations). Xin Yang has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Pheng‐Ann Heng, Dong Ni, Lequan Yu, Jing Qin, Hao Chen, Tianfu Wang, Shengli Li, Qi Dou, Shengfeng Liu and Yi Wang. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Medical Imaging, Lecture notes in computer science, Ultrasound in Medicine & Biology and Computer Methods and Programs in Biomedicine.
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.