Weiwen Wu

3.3k total citations · 1 hit paper
84 papers, 2.3k citations indexed

About

Weiwen Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Weiwen Wu has authored 84 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Radiology, Nuclear Medicine and Imaging, 56 papers in Biomedical Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Weiwen Wu's work include Medical Imaging Techniques and Applications (57 papers), Advanced X-ray and CT Imaging (50 papers) and Radiation Dose and Imaging (16 papers). Weiwen Wu is often cited by papers focused on Medical Imaging Techniques and Applications (57 papers), Advanced X-ray and CT Imaging (50 papers) and Radiation Dose and Imaging (16 papers). Weiwen Wu collaborates with scholars based in China, United States and Hong Kong. Weiwen Wu's co-authors include Hengyong Yu, Fenglin Liu, Shaoyu Wang, Ge Wang, Dianlin Hu, Varut Vardhanabhuti, Chin‐Ti Chen, H. C. Yeh, Li‐Hsin Chan and Chuang Niu and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Weiwen Wu

77 papers receiving 2.3k citations

Hit Papers

OlympiAD final overall survival and tolerability results:... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiwen Wu China 26 1.2k 1.1k 490 310 271 84 2.3k
Guolan Lu United States 27 1.6k 1.4× 1.6k 1.5× 333 0.7× 393 1.3× 90 0.3× 52 3.8k
Benjamin J. Vakoc United States 34 1.2k 1.0× 3.0k 2.8× 304 0.6× 418 1.3× 300 1.1× 112 4.3k
Jie Tian China 24 1.4k 1.2× 675 0.6× 597 1.2× 354 1.1× 33 0.1× 63 2.9k
Andrew D. A. Maidment United States 38 2.7k 2.3× 1.5k 1.4× 316 0.6× 2.7k 8.8× 87 0.3× 272 4.4k
Christopher Dunsby United Kingdom 32 1.1k 0.9× 1.9k 1.7× 167 0.3× 129 0.4× 285 1.1× 100 3.4k
Philippe Tracqui France 28 430 0.4× 1.2k 1.2× 208 0.4× 239 0.8× 92 0.3× 70 2.9k
Zhentian Wang Switzerland 26 352 0.3× 695 0.6× 82 0.2× 80 0.3× 304 1.1× 96 2.4k
Clifford Hoyt United States 21 295 0.2× 439 0.4× 865 1.8× 252 0.8× 79 0.3× 44 2.4k
Yunan Yang United States 30 723 0.6× 1.1k 1.0× 390 0.8× 313 1.0× 74 0.3× 78 3.1k

Countries citing papers authored by Weiwen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Weiwen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiwen Wu

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

All Works

20 of 20 papers shown
1.
Li, Zirong, Kang An, Hengyong Yu, et al.. (2024). Spectrum learning for super-resolution tomographic reconstruction. Physics in Medicine and Biology. 69(8). 85018–85018. 4 indexed citations
2.
Huang, Jiahao, Yinzhe Wu, Yingying Fang, et al.. (2024). Data- and Physics-Driven Deep Learning Based Reconstruction for Fast MRI: Fundamentals and Methodologies. IEEE Reviews in Biomedical Engineering. 18. 152–171.
3.
Wu, Weiwen, Yaohui Tang, Wenxiang Cong, et al.. (2024). Semi-Stationary Multisource AI-Powered Real-Time Tomography. IEEE Transactions on Radiation and Plasma Medical Sciences. 9(1). 118–130. 1 indexed citations
4.
Wu, Weiwen, et al.. (2024). Multi-Level Noise Sampling From Single Image for Low-Dose Tomography Reconstruction. IEEE Journal of Biomedical and Health Informatics. 29(2). 1256–1268.
5.
Wang, Shaoyu, et al.. (2023). IMD-MTFC: Image-Domain Material Decomposition via Material-Image Tensor Factorization and Clustering for Spectral CT. IEEE Transactions on Radiation and Plasma Medical Sciences. 7(4). 382–393. 6 indexed citations
6.
Wu, Weiwen, Hengyong Yu, Fenglin Liu, Jianjia Zhang, & Varut Vardhanabhuti. (2022). Spectral CT reconstruction via Spectral-Image Tensor and Bidirectional Image-gradient minimization. Computers in Biology and Medicine. 151. 106080–106080. 3 indexed citations
7.
Guo, Xiaodong, et al.. (2022). Nonlinear Deviation CorrecTion for Ring-Artifact Removal With Cone-Beam Computed Tomography. IEEE Transactions on Instrumentation and Measurement. 71. 1–10. 3 indexed citations
8.
Zhang, Heye, et al.. (2022). Multi-domain integrative Swin transformer network for sparse-view tomographic reconstruction. Patterns. 3(6). 100498–100498. 47 indexed citations
9.
Niu, Liting, et al.. (2021). Dictionary Learning-Based Image Reconstruction for Terahertz Computed Tomography. Journal of Infrared Millimeter and Terahertz Waves. 42(8). 829–842. 8 indexed citations
10.
Wang, Shaoyu, et al.. (2021). Spectral-Image Decomposition With Energy-Fusion Sensing for Spectral CT Reconstruction. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 27 indexed citations
11.
Wu, Weiwen, Peijun Chen, Shaoyu Wang, et al.. (2020). Image-Domain Material Decomposition for Spectral CT Using a Generalized Dictionary Learning. IEEE Transactions on Radiation and Plasma Medical Sciences. 5(4). 537–547. 31 indexed citations
12.
Hu, Dianlin, et al.. (2020). Limited-Angle X-Ray CT Reconstruction Using Image Gradient ₀-Norm With Dictionary Learning. IEEE Transactions on Radiation and Plasma Medical Sciences. 5(1). 78–87. 48 indexed citations
13.
Wang, Shaoyu, et al.. (2020). Low-dose spectral CT reconstruction based on image-gradient L 0 -norm and adaptive spectral PICCS. Physics in Medicine and Biology. 65(24). 245005–245005. 33 indexed citations
14.
An, Kang, et al.. (2020). Ring-artifacts removal for photon-counting CT. Optics Express. 28(17). 25180–25180. 14 indexed citations
15.
Liu, Jin, Yi Zhang, Qianlong Zhao, et al.. (2019). Deep iterative reconstruction estimation (DIRE): approximate iterative reconstruction estimation for low dose CT imaging. Physics in Medicine and Biology. 64(13). 135007–135007. 41 indexed citations
16.
Xia, Wenjun, Weiwen Wu, Shanzhou Niu, et al.. (2019). Spectral CT Reconstruction—ASSIST: Aided by Self-Similarity in Image-Spectral Tensors. IEEE Transactions on Computational Imaging. 5(3). 420–436. 33 indexed citations
17.
Hu, Dianlin, Weiwen Wu, Yanbo Zhang, et al.. (2019). SISTER: Spectral-Image Similarity-Based Tensor With Enhanced-Sparsity Reconstruction for Sparse-View Multi-Energy CT. IEEE Transactions on Computational Imaging. 6. 477–490. 40 indexed citations
18.
Robson, Mark E., Nadine Tung, Pierfranco Conté, et al.. (2019). OlympiAD final overall survival and tolerability results: Olaparib versus chemotherapy treatment of physician’s choice in patients with a germline BRCA mutation and HER2-negative metastatic breast cancer. Annals of Oncology. 30(4). 558–566. 497 indexed citations breakdown →
19.
Wu, Weiwen, Yanbo Zhang, Qian Wang, et al.. (2018). Low-dose spectral CT reconstruction using image gradient ℓ0–norm and tensor dictionary. Applied Mathematical Modelling. 63. 538–557. 119 indexed citations
20.
Wu, Weiwen, Yanbo Zhang, Qian Wang, et al.. (2018). Spatial-spectral cube matching frame for spectral CT reconstruction. Inverse Problems. 34(10). 104003–104003. 28 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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