Defu Qiu

716 total citations
21 papers, 493 citations indexed

About

Defu Qiu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Defu Qiu has authored 21 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 14 papers in Media Technology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Defu Qiu's work include Advanced Image Processing Techniques (15 papers), Image Processing Techniques and Applications (13 papers) and Image and Signal Denoising Methods (12 papers). Defu Qiu is often cited by papers focused on Advanced Image Processing Techniques (15 papers), Image Processing Techniques and Applications (13 papers) and Image and Signal Denoising Methods (12 papers). Defu Qiu collaborates with scholars based in China, Australia and Canada. Defu Qiu's co-authors include Yuhu Cheng, Lixin Zheng, Jianqing Zhu, Detian Huang, Dongmei Zhu, Ying Liu, Xuesong Wang, Dhanjoo N. Ghista, Kelvin K. L. Wong and Liqing Peng and has published in prestigious journals such as IEEE Internet of Things Journal, Future Generation Computer Systems and IEEE Transactions on Multimedia.

In The Last Decade

Defu Qiu

20 papers receiving 480 citations

Peers

Defu Qiu

CVPR

RNMI

CCM

Jia Gu China

Sheshadri Thiruvenkadam United States

Anfei Fan United States

Arnaldo Mayer Israel

Tiexiang Wen China

Zahra Karimaghaloo Canada

Youngjin Yoo Canada

Tingting Zhao China

Laura Reden United States

Jia Gu China

Defu Qiu

165 ×0.6

CVPR

114 ×0.7

RNMI

39 ×0.3

51 ×0.5

27 ×0.6

CCM

Citations per year, relative to Defu Qiu Defu Qiu (= 1×) peers Jia Gu

Countries citing papers authored by Defu Qiu

Since Specialization

Citations

This map shows the geographic impact of Defu Qiu'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 Defu Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Defu Qiu more than expected).

Fields of papers citing papers by Defu Qiu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Defu Qiu. 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 Defu Qiu. The network helps show where Defu Qiu may publish in the future.

Co-authorship network of co-authors of Defu Qiu

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

All Works

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20 of 20 papers shown

Qiu, Defu, et al.. (2024). ABSR: Progressive Alternate Refinement for Blind Cardiac MRI Super-Resolution. IEEE Internet of Things Journal. 11(19). 30887–30898.

Qiu, Defu, et al.. (2024). Parallel Alternating Iterative Optimization for Cardiac Magnetic Resonance Image Blind Super-Resolution. IEEE Journal of Biomedical and Health Informatics. 28(9). 5136–5146. 3 indexed citations

Qiu, Defu, Yuhu Cheng, Kelvin K. L. Wong, et al.. (2024). DBSR: Quadratic Conditional Diffusion Model for Blind Cardiac MRI Super-Resolution. IEEE Transactions on Multimedia. 26. 11358–11371. 4 indexed citations

Li, Qiong, Huili Zhang, Yanyan Wu, et al.. (2024). Radiomics model based on MRI to differentiate spinal multiple myeloma from metastases: A two-center study. Journal of bone oncology. 45. 100599–100599. 4 indexed citations

Qiu, Defu, et al.. (2023). Medical image super-resolution reconstruction algorithms based on deep learning: A survey. Computer Methods and Programs in Biomedicine. 238. 107590–107590. 58 indexed citations

Qiu, Defu, Yuhu Cheng, & Xuesong Wang. (2023). Progressive Feedback Residual Attention Network for Cardiac Magnetic Resonance Imaging Super-Resolution. IEEE Journal of Biomedical and Health Informatics. 27(7). 3478–3488. 21 indexed citations

Qiu, Defu, et al.. (2022). End-to-end residual attention mechanism for cataractous retinal image dehazing. Computer Methods and Programs in Biomedicine. 219. 106779–106779. 7 indexed citations

Qiu, Defu, et al.. (2022). Dual U-Net residual networks for cardiac magnetic resonance images super-resolution. Computer Methods and Programs in Biomedicine. 218. 106707–106707. 30 indexed citations

Song, Zhaoyang, et al.. (2022). Channel attention generative adversarial network for super-resolution of glioma magnetic resonance image. Computer Methods and Programs in Biomedicine. 229. 107255–107255. 13 indexed citations

10.

Qiu, Defu, et al.. (2022). Improved generative adversarial network for retinal image super-resolution. Computer Methods and Programs in Biomedicine. 225. 106995–106995. 18 indexed citations

11.

Qiu, Defu, Yuhu Cheng, & Xuesong Wang. (2022). Residual Dense Attention Networks for COVID-19 Computed Tomography Images Super Resolution. IEEE Transactions on Cognitive and Developmental Systems. 15(2). 904–913. 17 indexed citations

12.

Qiu, Defu, et al.. (2021). Multi-window back-projection residual networks for reconstructing COVID-19 CT super-resolution images. Computer Methods and Programs in Biomedicine. 200. 105934–105934. 23 indexed citations

13.

Qiu, Defu, et al.. (2021). Gradual back-projection residual attention network for magnetic resonance image super-resolution. Computer Methods and Programs in Biomedicine. 208. 106252–106252. 24 indexed citations

14.

Qiu, Defu, Liqing Peng, Dhanjoo N. Ghista, & Kelvin K. L. Wong. (2021). Left Atrial Remodeling Mechanisms Associated with Atrial Fibrillation. Cardiovascular Engineering and Technology. 12(3). 361–372. 43 indexed citations

15.

Zhu, Dongmei & Defu Qiu. (2021). Residual dense network for medical magnetic resonance images super-resolution. Computer Methods and Programs in Biomedicine. 209. 106330–106330. 37 indexed citations

16.

Qiu, Defu, et al.. (2021). Cardiac Magnetic Resonance Images Superresolution via Multichannel Residual Attention Networks. Computational and Mathematical Methods in Medicine. 2021. 1–8. 7 indexed citations

17.

Qiu, Defu, et al.. (2021). Progressive U-Net residual network for computed tomography images super-resolution in the screening of COVID-19. Journal of Radiation Research and Applied Sciences. 14(1). 369–379. 17 indexed citations

18.

Qiu, Defu, Lixin Zheng, Jianqing Zhu, & Detian Huang. (2020). Multiple improved residual networks for medical image super-resolution. Future Generation Computer Systems. 116. 200–208. 87 indexed citations

19.

Qiu, Defu, et al.. (2019). Super-resolution reconstruction of knee magnetic resonance imaging based on deep learning. Computer Methods and Programs in Biomedicine. 187. 105059–105059. 77 indexed citations

20.

Qiu, Defu, et al.. (2019). An Image Super-resolution Reconstruction Method by Using of Deep Learning. 213–217. 2 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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