Runze Wang
Impact in
- Artificial Intelligence top 10%
- AI in cancer detection
- Topic Modeling
- Natural Language Processing Techniques
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Infrared Thermography in Medicine
Papers in
-
- Domain Adaptation and Few-Shot Learning 4
- AI in cancer detection 4
- Speech and dialogue systems 2
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- Multimodal Machine Learning Applications 3
- Advanced Neural Network Applications 2
- Co-authors
- Guoyan Zheng (6 shared papers)Yide Ma (4 shared papers)Yunliang Qi (4 shared papers)Wenhao Sun (2 shared papers)Yanan Guo (1 shared paper)Jianguo Yao (1 shared paper)Zhengwei Qi (1 shared paper)Haibing Guan (1 shared paper)
- Journals
- Computerized Medical Imaging and Graphics (2 papers)Medical Image Analysis (2 papers)Neurocomputing (2 papers)Electronics (2 papers)Computer Methods and Programs in Biomedicine (1 paper)
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Runze Wang
20 papers receiving 231 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 153
- Radiology, Nuclear Medicine and Imaging 93
- Computer Vision and Pattern Recognition 74
- Neurology 16
- Hardware and Architecture 11
Countries citing papers authored by Runze Wang
This map shows the geographic impact of Runze 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 Runze Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runze Wang more than expected).
Fields of papers citing papers by Runze Wang
This network shows the impact of papers produced by Runze 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 Runze Wang. The network helps show where Runze Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Runze 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 | 2019 | 47 | |
| 2 | 2021 | 36 | |
| 3 | 2020 | 27 | |
| 4 | 2014 | 23 | |
| 5 | 2021 | 18 | |
| 6 | 2021 | 17 | |
| 7 | 2021 | 17 | |
| 8 | 2022 | 9 | |
| 9 | 2024 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2023 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2020 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2022 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2015 | 2 | |
| 20 | 2020 | 1 |
About Runze Wang
Runze Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications and Information Systems, having authored 20 papers that have together received 242 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (4 papers), AI in cancer detection (4 papers), Multimodal Machine Learning Applications (3 papers), Speech and dialogue systems (2 papers), COVID-19 diagnosis using AI (2 papers), Advanced Neural Network Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Cloud Computing and Resource Management (2 papers). The work is most often cited by research in Artificial Intelligence (153 citations), Radiology, Nuclear Medicine and Imaging (93 citations), Computer Vision and Pattern Recognition (74 citations), Neurology (16 citations) and Hardware and Architecture (11 citations). Runze Wang has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Guoyan Zheng, Yide Ma, Yunliang Qi, Wenhao Sun, Yanan Guo, Jianguo Yao, Zhengwei Qi, Haibing Guan, Meng Lou and Moritz Tannast. Their work appears in journals such as Computerized Medical Imaging and Graphics, Medical Image Analysis, Neurocomputing, Electronics and Computer Methods and Programs in Biomedicine.
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.