Puyang Wang
- Health Informatics top 5%
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- Advanced Neural Network Applications 5
- Image and Signal Denoising Methods 2
- Advanced Image Processing Techniques 2
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- Radiomics and Machine Learning in Medical Imaging 3
- Medical Imaging Techniques and Applications 2
- Media Technology top 10%
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- Sparse and Compressive Sensing Techniques 3
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- Neonatal and fetal brain pathology 2
- Fetal and Pediatric Neurological Disorders 2
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- IEEE Transactions on Medical Imaging (4 papers)IEEE Journal of Selected Topics in Signal Processing (1 paper)International Journal of Computer Assisted Radiology and Surgery (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Puyang Wang
13 papers receiving 468 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Health Informatics 31
- Computer Vision and Pattern Recognition 213
- Radiology, Nuclear Medicine and Imaging 200
- Neurology 48
- Media Technology 49
Countries citing papers authored by Puyang Wang
This map shows the geographic impact of Puyang Wang'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 Puyang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Puyang Wang more than expected).
Fields of papers citing papers by Puyang Wang
This network shows the impact of papers produced by Puyang Wang. 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 Puyang Wang. The network helps show where Puyang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Puyang Wang, 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 | 2024 | 6 | |
| 2 | LViT: Language Meets Vision Transformer in Medical Image Segmentationbreakdown → | 2023 | 135 |
| 3 | 2022 | 37 | |
| 4 | 2021 | 111 | |
| 5 | 2021 | 23 | |
| 6 | 2020 | 15 | |
| 7 | 2020 | 22 | |
| 8 | 2020 | 12 | |
| 9 | 2020 | 6 | |
| 10 | 2018 | 58 | |
| 11 | 2018 | 10 | |
| 12 | 2017 | 1 | |
| 13 | 2017 | 39 |
About Puyang Wang
Puyang Wang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 13 papers that have together received 475 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Sparse and Compressive Sensing Techniques (3 papers), Neonatal and fetal brain pathology (2 papers), Medical Imaging Techniques and Applications (2 papers), Image and Signal Denoising Methods (2 papers), Fetal and Pediatric Neurological Disorders (2 papers) and Advanced Image Processing Techniques (2 papers). The work is most often cited by research in Health Informatics (31 citations), Computer Vision and Pattern Recognition (213 citations) and Radiology, Nuclear Medicine and Imaging (200 citations). Puyang Wang has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Vishal M. Patel, Pengfei Guo, Shanshan Jiang, Jinyuan Zhou, Le Lü, Dazhou Guo, Dakai Jin, Yunxiang Li, Qingde Li and You Zhang. Their work appears in journals such as IEEE Transactions on Medical Imaging, IEEE Journal of Selected Topics in Signal Processing, International Journal of Computer Assisted Radiology and Surgery, Lecture notes in computer science and PubMed.
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.