Ziyang Wang
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Computational Mathematics top 2%
- Biomedical Engineering
- Media Technology top 10%
- Topics
- Advanced Neural Network Applications (7 papers)Medical Image Segmentation Techniques (6 papers)Advanced Neuroimaging Techniques and Applications (5 papers)
- Cited by
- Computational MathematicsRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Ziyang Wang
18 papers receiving 374 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Radiology, Nuclear Medicine and Imaging 216
- Computer Vision and Pattern Recognition 129
- Computational Mathematics 61
- Biomedical Engineering 34
- Media Technology 34
Countries citing papers authored by Ziyang Wang
This map shows the geographic impact of Ziyang 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 Ziyang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziyang Wang more than expected).
Fields of papers citing papers by Ziyang Wang
This network shows the impact of papers produced by Ziyang 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 Ziyang Wang. The network helps show where Ziyang Wang may publish in the future.
Co-authorship network of co-authors of Ziyang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Ziyang Wang. A scholar is included among the top collaborators of Ziyang Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ziyang Wang. Ziyang Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 32 | |
| 7 | 12 | |
| 8 | 14 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | A Survey on Visual Mambabreakdown → | 74 |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 121 | |
| 15 | 13 | |
| 16 | 4 | |
| 17 | 10 | |
| 18 | 24 | |
| 19 | 6 | |
| 20 | 57 |
About Ziyang Wang
Ziyang Wang is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 391 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Medical Image Segmentation Techniques (6 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). The work is most often cited by research in Computational Mathematics (61 citations), Radiology, Nuclear Medicine and Imaging (216 citations) and Computer Vision and Pattern Recognition (129 citations). Ziyang Wang has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Thomas H. Mareci, Baba C. Vemuri, Yu Chen, Chao Ma, Dan Wang, Ying Zhu, Lijun Zhang, Hanwei Zhang, Zi Ye and Tianxiang Chen. Their work appears in journals such as IEEE Transactions on Medical Imaging, Neurocomputing and Knowledge-Based Systems.
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.