Zhiwei Wang
- Health Informatics top 5%
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- Radiomics and Machine Learning in Medical Imaging 12
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- Medical Image Segmentation Techniques 11
- Advanced Neural Network Applications 8
- Artificial Intelligence top 5%
- Cryptography and Data Security 11
- AI in cancer detection 9
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- Advanced DC-DC Converters 7
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- Advanced X-ray and CT Imaging 7
- Medical Imaging and Analysis 7
- Co-authors
- Xin YangKwang‐Ting ChengLiang WangZengqiang YanJun YangWenyu LiuQiang LiJingyu Chen
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- PLoS ONE (1 paper)IEEE Transactions on Power Electronics (4 papers)IEEE Transactions on Geoscience and Remote Sensing (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Zhiwei Wang
83 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 129
- Health Informatics 44
- Radiology, Nuclear Medicine and Imaging 445
- Computer Vision and Pattern Recognition 295
- Artificial Intelligence 383
- Pulmonary and Respiratory Medicine 248
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
The 25 scholars most cited alongside Zhiwei 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 13 | |
| 6 | 2024 | 10 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 0 | |
| 13 | 2022 | 2 | |
| 14 | 2019 | 13 | |
| 15 | 2019 | 51 | |
| 16 | StitchAD-GAN for Synthesizing Apparent Diffusion Coefficient Images of Clinically Significant Prostate Cancer. | 2018 | 1 |
| 17 | 2017 | 123 | |
| 18 | 2017 | 118 | |
| 19 | 2015 | 2 | |
| 20 | 2015 | 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), Cryptography and Data Security (11 papers), AI in cancer detection (9 papers), Advanced Neural Network Applications (8 papers), Advanced DC-DC Converters (7 papers), Advanced X-ray and CT Imaging (7 papers) and Medical Imaging and Analysis (7 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.