Zhan Wu

972 total citations · 1 hit paper
28 papers, 589 citations indexed

About

Zhan Wu is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhan Wu has authored 28 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 15 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhan Wu's work include Medical Imaging Techniques and Applications (10 papers), Advanced X-ray and CT Imaging (10 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Zhan Wu is often cited by papers focused on Medical Imaging Techniques and Applications (10 papers), Advanced X-ray and CT Imaging (10 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Zhan Wu collaborates with scholars based in China, France and Bangladesh. Zhan Wu's co-authors include Min Peng, Tong Chen, Yang Chen, Zhihao Zhang, Hengyong Yu, Dayang Wang, Shuo Li, Fenglei Fan, Rui Liu and Fei Wang and has published in prestigious journals such as Energy Economics, Physics in Medicine and Biology and Medical Image Analysis.

In The Last Decade

Zhan Wu

24 papers receiving 569 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.

CTformer: convolution-free Token2Token dilated vision transformer for low-dose CT denoising

2023 111 citations Dayang Wang, Zhan Wu et al. Physics in Medicine and Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhan Wu China	12	302	252	136	85	82	28	589
Asem Ali United States	12	128 0.4×	183 0.7×	70 0.5×	32 0.4×	51 0.6×	66	471
Muhammad Nadeem Pakistan	11	50 0.2×	203 0.8×	41 0.3×	25 0.3×	75 0.9×	63	429
Majid Harouni Iran	10	211 0.7×	174 0.7×	218 1.6×	5 0.1×	100 1.2×	22	553
Paweł Badura Poland	12	107 0.4×	94 0.4×	89 0.7×	12 0.1×	104 1.3×	34	349
Francesco Girardi Italy	12	80 0.3×	109 0.4×	38 0.3×	17 0.2×	124 1.5×	13	469
Zhiyuan Li China	12	127 0.4×	97 0.4×	33 0.2×	33 0.4×	67 0.8×	46	380
Tahir Mahmood South Korea	13	342 1.1×	192 0.8×	77 0.6×	3 0.0×	232 2.8×	30	620
Zhennan Yan United States	13	281 0.9×	205 0.8×	131 1.0×	4 0.0×	228 2.8×	37	616
Pierre-Henri Conze France	14	304 1.0×	277 1.1×	87 0.6×	3 0.0×	199 2.4×	47	616
Saeed Seyyedi Germany	5	226 0.7×	45 0.2×	73 0.5×	8 0.1×	205 2.5×	12	503

Countries citing papers authored by Zhan Wu

Since Specialization

Citations

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

Fields of papers citing papers by Zhan Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhan Wu. A scholar is included among the top collaborators of Zhan 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 Zhan Wu. Zhan Wu 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:

20 of 20 papers shown

Wu, Zhan, Yan Xi, Xu Ji, et al.. (2025). PRAISE-Net: Deep Projection-Domain Data-Consistent Learning Network for CBCT Metal Artifact Reduction. IEEE Transactions on Instrumentation and Measurement. 74. 1–13. 1 indexed citations

Yuan, Peng, Jianmin Dong, Cheng Xue, et al.. (2025). LADDA: Latent Diffusion-based Domain-adaptive Feature Disentangling for Unsupervised Multi-modal Medical Image Registration. IEEE Journal of Biomedical and Health Informatics. PP. 1–14. 1 indexed citations

Liu, Jin, Tong Jin, Kun Wang, et al.. (2025). LWCDNet: An Interpretable Learning Weighted Convolutional Dictionary Network for Metal Artifact Reduction in CT Images. IEEE Transactions on Instrumentation and Measurement. 74. 1–15. 1 indexed citations

Wu, Zhan, et al.. (2025). Planning CT Guided Limited-Angle CBCT to CT Synthesis via Content-Style Decoupled Learning. IEEE Transactions on Instrumentation and Measurement. 74. 1–14.

Wang, Xiangxin, Zhan Wu, Yujia Zhou, et al.. (2025). Topology-oriented foreground focusing network for semi-supervised coronary artery segmentation. Medical Image Analysis. 101. 103465–103465.

Yuan, Peng, Yudong Zhang, Chunfeng Yang, et al.. (2024). WUTrans: Whole-spectrum unilateral-query-secured transformer for 4D CBCT reconstruction. Biomedical Signal Processing and Control. 102. 107197–107197. 1 indexed citations

Hu, Dianlin, Zhan Wu, Xu Ji, et al.. (2024). Prior Image-Constrained Iterative Reconstruction With Adaptive Step Size for Limited-Angle CBCT. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 4 indexed citations

Wang, Dayang, et al.. (2024). LoMAE: Simple Streamlined Low-Level Masked Autoencoders for Robust, Generalized, and Interpretable Low-Dose CT Denoising. IEEE Journal of Biomedical and Health Informatics. 28(11). 6815–6827. 2 indexed citations

Nepal, Rabindra, et al.. (2024). Zooming in or zooming out: Energy strategy, developmental parity and regional entrepreneurial dynamism. Energy Economics. 140. 108021–108021. 11 indexed citations

10.

Wu, Zhan, Dayang Wang, Ruifeng Chen, et al.. (2023). Deep Dual-Domain United Guiding Learning With Global–Local Transformer-Convolution U-Net for LDCT Reconstruction. IEEE Transactions on Instrumentation and Measurement. 72. 1–15. 14 indexed citations

11.

Yang, Lijie, Zhan Wu, Tianchen Xu, Ji‐Xiang Du, & Enhua Wu. (2023). Easy recognition of artistic Chinese calligraphic characters. The Visual Computer. 39(8). 3755–3766. 4 indexed citations

12.

Chen, Kai, Libo Zhang, Yuan Gao, et al.. (2022). Robust restoration of low-dose cerebral perfusion CT images using NCS-Unet. Nuclear Science and Techniques. 33(3). 13 indexed citations

13.

Gao, Yuan, Han Chen, Rongjun Ge, et al.. (2022). Deep learning-based framework for segmentation of multiclass rib fractures in CT utilizing a multi-angle projection network. International Journal of Computer Assisted Radiology and Surgery. 17(6). 1115–1124. 6 indexed citations

14.

Zhao, Wei, Yinsu Zhu, Zhan Wu, et al.. (2021). Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network. Medical Image Analysis. 70. 102001–102001. 46 indexed citations

15.

Wu, Zhan, Rongjun Ge, Lu Zhang, et al.. (2020). MD-NDNet: a multi-dimensional convolutional neural network for false-positive reduction in pulmonary nodule detection. Physics in Medicine and Biology. 65(23). 235053–235053. 16 indexed citations

16.

Wu, Zhan, Rongjun Ge, Yang Chen, et al.. (2020). ELNet:Automatic classification and segmentation for esophageal lesions using convolutional neural network. Medical Image Analysis. 67. 101838–101838. 62 indexed citations

17.

Hua, Jie, et al.. (2020). Automatic classification of esophageal lesions in endoscopic images using a convolutional neural network. Annals of Translational Medicine. 8(7). 486–486. 50 indexed citations

18.

Wu, Zhan, Yang Chen, Fei Shi, et al.. (2020). Coarse-to-fine classification for diabetic retinopathy grading using convolutional neural network. Artificial Intelligence in Medicine. 108. 101936–101936. 79 indexed citations

19.

Wu, Zhan, et al.. (2017). NIRExpNet: Three-Stream 3D Convolutional Neural Network for Near Infrared Facial Expression Recognition. Applied Sciences. 7(11). 1184–1184. 13 indexed citations

20.

Wu, Zhan. (2013). Telemonitoring System for Cable Pipeline Inspection Robot. Measurement & Control Technology. 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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