W. Yang
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
-
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
-
- Brain Tumor Detection and Classification 5
-
- Signaling Pathways in Disease 1
- Co-authors
- Xiaobo Lai (6 shared papers)Xiaomei Xu (5 shared papers)Guang Yang (3 shared papers)He Huang (2 shared papers)Jianming Ye (2 shared papers)Yongkai Liu (1 shared paper)Wenbo Zhang (1 shared paper)He Huang (1 shared paper)
- Journals
- International Journal of Imaging Systems and Technology (2 papers)Frontiers in Oncology (2 papers)Medicine (2 papers)Frontiers in Pharmacology (2 papers)Computational Intelligence and Neuroscience (1 paper)
- Partner nations
- ChinaUnited KingdomGermany
In The Last Decade
W. Yang
17 papers receiving 464 citations
Peers
Comparison fields: 5 of 86
- Neurology 266
- Computer Vision and Pattern Recognition 240
- Radiology, Nuclear Medicine and Imaging 104
- Health Informatics 6
- Artificial Intelligence 112
Countries citing papers authored by W. Yang
This map shows the geographic impact of W. 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 W. Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Yang more than expected).
Fields of papers citing papers by W. Yang
This network shows the impact of papers produced by W. 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 W. Yang. The network helps show where W. Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside W. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 103 | |
| 2 | 2021 | 100 | |
| 3 | 2021 | 79 | |
| 4 | 2017 | 46 | |
| 5 | 2016 | 34 | |
| 6 | 2021 | 22 | |
| 7 | 2015 | 18 | |
| 8 | 2018 | 17 | |
| 9 | 2020 | 17 | |
| 10 | 2018 | 16 | |
| 11 | 2021 | 8 | |
| 12 | 2017 | 7 | |
| 13 | 2023 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2024 | 1 |
About W. Yang
W. Yang is a scholar working on Neurology, Molecular Biology, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Rehabilitation, having authored 17 papers that have together received 484 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (5 papers), Advanced Neural Network Applications (4 papers), Medical Image Segmentation Techniques (3 papers), AI in cancer detection (2 papers), Stroke Rehabilitation and Recovery (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Signaling Pathways in Disease (1 paper) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Neurology (266 citations), Computer Vision and Pattern Recognition (240 citations), Radiology, Nuclear Medicine and Imaging (104 citations), Health Informatics (6 citations) and Artificial Intelligence (112 citations). W. Yang has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Xiaobo Lai, Xiaomei Xu, Guang Yang, He Huang, Jianming Ye, Yongkai Liu, Wenbo Zhang, He Huang, Wenbo Zhang and Letian Shan. Their work appears in journals such as International Journal of Imaging Systems and Technology, Frontiers in Oncology, Medicine, Frontiers in Pharmacology and Computational Intelligence and Neuroscience.
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.