Duwei Dai
Impact in
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Neurology top 10%
- Brain Tumor Detection and Classification
Papers in
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- Medical Image Segmentation Techniques 6
- Advanced Neural Network Applications 3
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- AI in cancer detection 8
- Co-authors
- Songhua Xu (14 shared papers)Caixia Dong (13 shared papers)Zongfang Li (9 shared papers)Chunyan Zhang (6 shared papers)Qingsen Yan (5 shared papers)Nana Luo (1 shared paper)Qianni Zhang (1 shared paper)Yaqi Wang (1 shared paper)
In The Last Decade
Duwei Dai
15 papers receiving 502 citations
Duwei Dai's Hit Papers
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 243
- Neurology 77
- Artificial Intelligence 224
- Radiology, Nuclear Medicine and Imaging 120
- Oncology 140
Countries citing papers authored by Duwei Dai
This map shows the geographic impact of Duwei Dai'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 Duwei Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duwei Dai more than expected).
Fields of papers citing papers by Duwei Dai
This network shows the impact of papers produced by Duwei Dai. 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 Duwei Dai. The network helps show where Duwei Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Duwei Dai, 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 | 2021 | 143 | |
| 2 | 2023 | 79 | |
| 3 | 2023 | 70 | |
| 4 | I Hit paper breakdown → | 2024 | 59 |
| 5 | 2023 | 38 | |
| 6 | 2022 | 35 | |
| 7 | 2022 | 25 | |
| 8 | Efficient Image Enhancement With a Diffusion-Based Frequency Prior Hit paper breakdown → | 2025 | 22 |
| 9 | 2024 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2026 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Duwei Dai
Duwei Dai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology, having authored 20 papers that have together received 506 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Medical Image Segmentation Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Retinal Imaging and Analysis (3 papers), Cutaneous Melanoma Detection and Management (3 papers), Nonmelanoma Skin Cancer Studies (3 papers), Advanced Neural Network Applications (3 papers) and Brain Tumor Detection and Classification (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (243 citations), Neurology (77 citations), Artificial Intelligence (224 citations), Radiology, Nuclear Medicine and Imaging (120 citations) and Oncology (140 citations). Duwei Dai has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Songhua Xu, Caixia Dong, Zongfang Li, Chunyan Zhang, Qingsen Yan, Nana Luo, Qianni Zhang, Yaqi Wang, Chunfeng Lian and Yizhi Zhang. Their work appears in journals such as Medical Image Analysis, Pattern Recognition, Information Fusion, Journal of Medical Internet Research and IEEE Transactions on Circuits and Systems for Video Technology.
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.