Shunbo Hu

518 total citations
47 papers, 310 citations indexed

About

Shunbo Hu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Shunbo Hu has authored 47 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 14 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Neurology. Recurrent topics in Shunbo Hu's work include Medical Image Segmentation Techniques (27 papers), Advanced Neural Network Applications (9 papers) and Brain Tumor Detection and Classification (8 papers). Shunbo Hu is often cited by papers focused on Medical Image Segmentation Techniques (27 papers), Advanced Neural Network Applications (9 papers) and Brain Tumor Detection and Classification (8 papers). Shunbo Hu collaborates with scholars based in China, United States and Canada. Shunbo Hu's co-authors include Liang Wu, Changchun Liu, Wenyin Zhang, Bo Yang, Yong Wu, Sahraoui Dhelim, Yue Yang, Dinggang Shen, Mingtao Liu and Peng Shao and has published in prestigious journals such as IEEE Access, Sensors and Physics in Medicine and Biology.

In The Last Decade

Shunbo Hu

38 papers receiving 297 citations

Peers

Countries citing papers authored by Shunbo Hu

Since Specialization

Citations

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

Fields of papers citing papers by Shunbo Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunbo Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Shunbo Hu. A scholar is included among the top collaborators of Shunbo Hu 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 Shunbo Hu. Shunbo Hu 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

#	Work	Indexed citations
1	MCAM-Net: A non-iterative multi-scale coarse-to-fine registration network combined with adaptive morphology for deformable image registration 2025 ·Biomedical Signal Processing and Control ·(unknown), Shunbo Hu, Wenyin Zhang, (unknown), (unknown), Xing Wang, (unknown), (unknown), Xiaole Li, Yuwen Wang	0
2	Multi-scale dual-attention frequency fusion for joint segmentation and deformable medical image registration 2025 ·Information Fusion ·Hongchao Zhou, Shiyu Liu, Shunbo Hu	1
3	A Novel Edge‐Enhanced Networks for Optic Disc and Optic Cup Segmentation 2024 ·International Journal of Imaging Systems and Technology ·Mingtao Liu, (unknown), (unknown), Shunbo Hu, Guodong Wang, (unknown)	0
4	PCA-Net: a heart segmentation model based on the meta-learning method 2024 ·Optoelectronics Letters ·(unknown), (unknown), Hao Dong, Shunbo Hu, (unknown)	0
5	IMFF-Net: An integrated multi-scale feature fusion network for accurate retinal vessel segmentation from fundus images 2024 ·Biomedical Signal Processing and Control ·Mingtao Liu, Yunyu Wang, Lei Wang, Shunbo Hu, Xing Wang, (unknown)	16
6	Compositional optimization of rare earth permanent magnetic alloy by machine learning 2024 ·Journal of Magnetism and Magnetic Materials ·(unknown), (unknown), Yaning Cui, (unknown), (unknown), Shunbo Hu, (unknown), Yang Li, (unknown), Wei Ren	0
7	Gaussianmorph: deformable medical image registration with Gaussian noise constraints 2024 ·Biomedical Engineering Letters ·Ranran Zhang, Shunbo Hu, Wenyin Zhang, Yuwen Wang, (unknown), Yongfang Wang, (unknown), (unknown), (unknown), (unknown), Yingying Wen, Chengchao Wang, Shiyu Liu	0
8	MV-STCNet: Breast cancer diagnosis using spatial and temporal dual-attention guided classification network based on multi-view ultrasound videos 2023 ·Biomedical Signal Processing and Control ·(unknown), Shunbo Hu, (unknown)	6
9	Deep learning based brain MRI registration driven by local‐signed‐distance fields of segmentation maps 2023 ·Medical Physics ·Yue Yang, Shunbo Hu, (unknown), Dinggang Shen	4
10	The Successive Next Network as Augmented Regularization for Deformable Brain MR Image Registration 2023 ·Sensors ·(unknown), Shunbo Hu, (unknown), Fuchun Zhang, Jitao Li, Yue Yang, (unknown), Mingtao Liu, (unknown), (unknown), Wenyin Zhang, Xing Wang	2
11	Deep learning-based classification of breast lesions using dynamic ultrasound video 2023 ·European Journal of Radiology ·(unknown), (unknown), (unknown), Shunbo Hu, (unknown), Jiawei Tian	19
12	TST-network: A two-stage mutually reinforcing deep learning network for brain MR registration 2022 ·(unknown), (unknown), (unknown), (unknown), Shunbo Hu, (unknown), (unknown)	1
13	Efficient Knowledge Distillation for Brain Tumor Segmentation 2022 ·Applied Sciences ·(unknown), Wenyin Zhang, Xing Wang, (unknown), Shunbo Hu, Chen Ji	6
14	Research on Optimization Scheme for Blocking Artifacts after Patch-Based Medical Image Reconstruction 2022 ·Computational and Mathematical Methods in Medicine ·(unknown), Shunbo Hu, Yuyue Du	6
15	ECG_SegNet: An ECG delineation model based on the encoder-decoder structure 2022 ·Computers in Biology and Medicine ·Xiaohong Liang, Liping Li, Yuanyuan Liu, Dan Chen, Xinpei Wang, Shunbo Hu, Jikuo Wang, Huan Zhang, (unknown), Changchun Liu	30
16	Brain MRI synthesis based on dual-generator generative adversarial network 2022 ·(unknown), Shunbo Hu, (unknown), (unknown), (unknown)	0
17	Denoising of 3D Brain MR Images with Parallel Residual Learning of Convolutional Neural Network Using Global and Local Feature Extraction 2021 ·Computational Intelligence and Neuroscience ·Liang Wu, Shunbo Hu, Changchun Liu	16
18	Learning-based deformable image registration for infant MR images in the first year of life 2020 ·UNC Libraries ·Guorong Wu, Yaozong Gao, Dinggang Shen, Yanrong Guo, Shunbo Hu, Lifang Wei	1
19	Brain Deformable Registration Using Global and Local Label-Driven Deep Regression Learning in the First Year of Life 2019 ·IEEE Access ·Shunbo Hu, (unknown), (unknown), Mingtao Liu, (unknown), (unknown)	5
20	Non-Rigid Joint Registration for Multi-Contrast MR of Infant Brain Based on the Unsupervised Deep Regression Network 2019 ·(unknown), (unknown), (unknown), Wenyin Zhang, Mingtao Liu, Shunbo Hu	1

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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