Dadong Wang
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
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- Medical Image Segmentation Techniques 8
-
- COVID-19 diagnosis using AI 13
- Radiomics and Machine Learning in Medical Imaging 10
- Co-authors
- Suhuai Luo (12 shared papers)Ke Xu (3 shared papers)Debin Yang (2 shared papers)Jinwu Xu (2 shared papers)Jianhong Yang (2 shared papers)Peter Summons (6 shared papers)Changming Sun (18 shared papers)Lijun Zhang (1 shared paper)
- Journals
- Scientific Reports (3 papers)Advances in experimental medicine and biology (3 papers)IEEE Access (2 papers)Mechanical Systems and Signal Processing (2 papers)Neurocomputing (2 papers)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Dadong Wang
113 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 159
- Computer Vision and Pattern Recognition 340
- Biophysics 88
- Health Informatics 17
- Developmental Neuroscience 42
- Media Technology 88
Countries citing papers authored by Dadong Wang
This map shows the geographic impact of Dadong 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 Dadong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dadong Wang more than expected).
Fields of papers citing papers by Dadong Wang
This network shows the impact of papers produced by Dadong 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 Dadong Wang. The network helps show where Dadong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dadong 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
Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 221 | |
| 2 | 2007 | 152 | |
| 3 | 2021 | 61 | |
| 4 | 2007 | 60 | |
| 5 | 2014 | 58 | |
| 6 | 2018 | 57 | |
| 7 | 2020 | 47 | |
| 8 | 2015 | 40 | |
| 9 | 2009 | 40 | |
| 10 | 2010 | 39 | |
| 11 | 2022 | 38 | |
| 12 | 2022 | 38 | |
| 13 | 2016 | 37 | |
| 14 | 2019 | 34 | |
| 15 | 2016 | 34 | |
| 16 | 2014 | 33 | |
| 17 | 2022 | 32 | |
| 18 | 2018 | 30 | |
| 19 | 2020 | 27 | |
| 20 | 2011 | 25 |
About Dadong Wang
Dadong Wang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 121 papers that have together received 1.7k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (13 papers), Lung Cancer Diagnosis and Treatment (13 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Medical Image Segmentation Techniques (8 papers), Water Quality Monitoring Technologies (7 papers), AI in cancer detection (7 papers), Image Processing Techniques and Applications (7 papers) and Cell Image Analysis Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (340 citations), Biophysics (88 citations), Health Informatics (17 citations), Developmental Neuroscience (42 citations) and Media Technology (88 citations). Dadong Wang has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Suhuai Luo, Ke Xu, Debin Yang, Jinwu Xu, Jianhong Yang, Peter Summons, Changming Sun, Lijun Zhang, Pascal Vallotton and Peng Zhou. Their work appears in journals such as Scientific Reports, Advances in experimental medicine and biology, IEEE Access, Mechanical Systems and Signal Processing and Neurocomputing.
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.