Zhiwei Wang
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Pulmonary and Respiratory Medicine top 10%
- Biomedical Engineering
- Co-authors
- Xin YangKwang‐Ting ChengLiang WangZengqiang YanJun YangWenyu LiuQiang LiJingyu Chen
- Topics
- Radiomics and Machine Learning in Medical Imaging (12 papers)Medical Image Segmentation Techniques (11 papers)Cryptography and Data Security (11 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- PLoS ONEIEEE Transactions on Power ElectronicsIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Zhiwei Wang
83 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 129
- Radiology, Nuclear Medicine and Imaging 445
- Artificial Intelligence 383
- Computer Vision and Pattern Recognition 295
- Pulmonary and Respiratory Medicine 248
- Biomedical Engineering 212
Countries citing papers authored by Zhiwei Wang
This map shows the geographic impact of Zhiwei 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 Zhiwei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhiwei Wang more than expected).
Fields of papers citing papers by Zhiwei Wang
This network shows the impact of papers produced by Zhiwei 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 Zhiwei Wang. The network helps show where Zhiwei Wang may publish in the future.
Co-authorship network of co-authors of Zhiwei Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhiwei Wang. A scholar is included among the top collaborators of Zhiwei 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 Zhiwei Wang. Zhiwei 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 | 2 | |
| 5 | 13 | |
| 6 | 10 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 2 | |
| 14 | 13 | |
| 15 | 51 | |
| 16 | StitchAD-GAN for Synthesizing Apparent Diffusion Coefficient Images of Clinically Significant Prostate Cancer. | 1 |
| 17 | 123 | |
| 18 | 118 | |
| 19 | 2 | |
| 20 | 25 |
About Zhiwei Wang
Zhiwei Wang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 95 papers that have together received 1.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), Medical Image Segmentation Techniques (11 papers) and Cryptography and Data Security (11 papers). The work is most often cited by research in Health Informatics (44 citations), Radiology, Nuclear Medicine and Imaging (445 citations) and Computer Vision and Pattern Recognition (295 citations). Zhiwei Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xin Yang, Kwang‐Ting Cheng, Liang Wang, Zengqiang Yan, Liang Wang, Jun Yang, Wenyu Liu, Qiang Li, Jingyu Chen and Cai Chen. Their work appears in journals such as PLoS ONE, IEEE Transactions on Power Electronics and IEEE Transactions on Geoscience and Remote Sensing.
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.