Duwei Dai

822 total citations · 1 hit paper
18 papers, 444 citations indexed

About

Duwei Dai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Duwei Dai has authored 18 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Duwei Dai's work include AI in cancer detection (8 papers), Medical Image Segmentation Techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Duwei Dai is often cited by papers focused on AI in cancer detection (8 papers), Medical Image Segmentation Techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Duwei Dai collaborates with scholars based in China, Australia and Canada. Duwei Dai's co-authors include Songhua Xu, Caixia Dong, Zongfang Li, Chunyan Zhang, Qingsen Yan, Nana Luo, Chunfeng Lian, Yaqi Wang, Qianni Zhang and Yizhi Zhang and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Journal of Medical Internet Research.

In The Last Decade

Duwei Dai

15 papers receiving 440 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Efficient Image Enhancement With a Diffusion-Based Frequency Prior

2025 18 citations Qingsen Yan, Tao Hu et al. IEEE Transactions on Circuits and Systems for Video Technology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Duwei Dai China	10	235	222	128	127	74	18	444
Shuanglang Feng China	5	265 1.1×	224 1.0×	99 0.8×	266 2.1×	70 0.9×	9	544
Xuena Cheng China	4	295 1.3×	219 1.0×	92 0.7×	311 2.4×	65 0.9×	7	619
Yangqin Feng Singapore	12	165 0.7×	232 1.0×	53 0.4×	258 2.0×	47 0.6×	20	444
Pia H. Smedsrud Norway	5	181 0.8×	200 0.9×	228 1.8×	223 1.8×	35 0.5×	8	500
Dan Xue China	7	133 0.6×	284 1.3×	33 0.3×	185 1.5×	45 0.6×	12	413
Ebrahim Nasr-Esfahani Iran	7	154 0.7×	263 1.2×	292 2.3×	141 1.1×	21 0.3×	10	527
Tahir Mahmood South Korea	13	192 0.8×	232 1.0×	60 0.5×	342 2.7×	55 0.7×	30	620
Kokeb Dese Ethiopia	11	100 0.4×	208 0.9×	59 0.5×	163 1.3×	35 0.5×	16	379
Nils Gessert Germany	9	59 0.3×	135 0.6×	112 0.9×	126 1.0×	29 0.4×	24	336
Vajira Thambawita Norway	8	152 0.6×	175 0.8×	156 1.2×	162 1.3×	14 0.2×	23	507

Countries citing papers authored by Duwei Dai

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Duwei Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Duwei Dai. A scholar is included among the top collaborators of Duwei Dai 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 Duwei Dai. Duwei Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Dai, Duwei, et al.. (2026). Prompt-level contrastive learning for context-aware multi-modal image representation in medical diagnosis. Pattern Recognition. 174. 113027–113027.

Zhang, Chunyan, et al.. (2025). Exploring Psychological Trends in Populations With Chronic Obstructive Pulmonary Disease During COVID-19 and Beyond: Large-Scale Longitudinal Twitter Mining Study. Journal of Medical Internet Research. 27. e54543–e54543. 1 indexed citations

Dai, Guowei, Qingfeng Tang, Yi Zhang, et al.. (2025). Interpretable breast cancer diagnosis using histopathology and lesion mask as domain concepts conditional simulation ultrasonography. Information Fusion. 123. 103343–103343. 1 indexed citations

Dai, Guowei, Duwei Dai, Qingfeng Tang, et al.. (2025). Multi-Task Learning Network for Medical Image Analysis Guided by Lesion Regions and Spatial Relationships of Tissues. IEEE Transactions on Circuits and Systems for Video Technology. 36(1). 1249–1264.

Dai, Guowei, et al.. (2025). Interpretable breast cancer identification by multi-view synergistic feature fusion interaction in dense breast tissue. Information Fusion. 125. 103446–103446. 1 indexed citations

Yan, Qingsen, Tao Hu, Peng Wu, et al.. (2025). Efficient Image Enhancement With a Diffusion-Based Frequency Prior. IEEE Transactions on Circuits and Systems for Video Technology. 35(9). 8452–8465. 18 indexed citations breakdown →

Dai, Duwei, et al.. (2025). Improving the performance of medical image segmentation with instructive feature learning. Medical Image Analysis. 107(Pt A). 103818–103818.

Dai, Duwei, Caixia Dong, Qingsen Yan, et al.. (2024). I2U-Net: A dual-path U-Net with rich information interaction for medical image segmentation. Medical Image Analysis. 97. 103241–103241. 45 indexed citations

Dong, Caixia, Duwei Dai, Zongfang Li, & Songhua Xu. (2024). A novel deep network with triangular-star spatial–spectral fusion encoding and entropy-aware double decoding for coronary artery segmentation. Information Fusion. 112. 102561–102561. 9 indexed citations

10.

Dong, Caixia, Songhua Xu, Duwei Dai, et al.. (2023). A novel multi-attention, multi-scale 3D deep network for coronary artery segmentation. Medical Image Analysis. 85. 102745–102745. 34 indexed citations

11.

Dai, Duwei, Caixia Dong, Zongfang Li, & Songhua Xu. (2023). MS‐Net: Learning to assess the malignant status of a lung nodule by a radiologist and her peers. Journal of Applied Clinical Medical Physics. 24(7). e13964–e13964. 3 indexed citations

12.

Dai, Duwei, et al.. (2023). MSCA-Net: Multi-scale contextual attention network for skin lesion segmentation. Pattern Recognition. 139. 109524–109524. 71 indexed citations

13.

Yan, Qingsen, Shengqiang Liu, Songhua Xu, et al.. (2023). 3D Medical image segmentation using parallel transformers. Pattern Recognition. 138. 109432–109432. 59 indexed citations

14.

Dai, Duwei, et al.. (2023). Effectively fusing clinical knowledge and AI knowledge for reliable lung nodule diagnosis. Expert Systems with Applications. 230. 120634–120634. 6 indexed citations

15.

Dai, Duwei, et al.. (2022). Rethinking adversarial domain adaptation: Orthogonal decomposition for unsupervised domain adaptation in medical image segmentation. Medical Image Analysis. 82. 102623–102623. 19 indexed citations

16.

Dong, Caixia, Duwei Dai, Yizhi Zhang, et al.. (2022). Learning from dermoscopic images in association with clinical metadata for skin lesion segmentation and classification. Computers in Biology and Medicine. 152. 106321–106321. 32 indexed citations

17.

Dai, Duwei, Caixia Dong, Songhua Xu, et al.. (2021). Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation. Medical Image Analysis. 75. 102293–102293. 135 indexed citations

18.

Zhang, Chunyan, et al.. (2021). The Evolution and Disparities of Online Attitudes Toward COVID-19 Vaccines: Year-long Longitudinal and Cross-sectional Study. Journal of Medical Internet Research. 24(1). e32394–e32394. 10 indexed citations

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.

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