Huazhong Shu

7.9k total citations
296 papers, 5.5k citations indexed

About

Huazhong Shu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Huazhong Shu has authored 296 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 168 papers in Computer Vision and Pattern Recognition, 98 papers in Radiology, Nuclear Medicine and Imaging and 61 papers in Biomedical Engineering. Recurrent topics in Huazhong Shu's work include Medical Image Segmentation Techniques (73 papers), Medical Imaging Techniques and Applications (69 papers) and Image Retrieval and Classification Techniques (48 papers). Huazhong Shu is often cited by papers focused on Medical Image Segmentation Techniques (73 papers), Medical Imaging Techniques and Applications (69 papers) and Image Retrieval and Classification Techniques (48 papers). Huazhong Shu collaborates with scholars based in China, France and Bangladesh. Huazhong Shu's co-authors include Jean-Louis Coatrieux, Limin Luo, Gouenou Coatrieux, Hongqing Zhu, Yang Chen, Jiasong Wu, Limin Luo, Beijing Chen, Christine Toumoulin and Guanyu Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Huazhong Shu

278 papers receiving 5.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huazhong Shu China 41 3.3k 1.5k 1.2k 631 549 296 5.5k
Xuanqin Mou China 30 4.0k 1.2× 2.2k 1.4× 1.8k 1.5× 1.6k 2.5× 456 0.8× 187 6.3k
Benoı̂t Macq Belgium 35 3.0k 0.9× 880 0.6× 678 0.6× 177 0.3× 661 1.2× 298 5.4k
J. B. Antoine Maintz Netherlands 17 4.0k 1.2× 2.2k 1.4× 955 0.8× 440 0.7× 484 0.9× 33 5.7k
Jean-Louis Coatrieux France 30 1.9k 0.6× 1.3k 0.9× 1.1k 0.9× 325 0.5× 317 0.6× 196 3.7k
Yongyi Yang United States 30 1.6k 0.5× 1.7k 1.1× 882 0.8× 219 0.3× 898 1.6× 249 4.0k
Yang Chen China 44 3.0k 0.9× 4.1k 2.7× 3.3k 2.8× 369 0.6× 967 1.8× 360 8.0k
Lucas J. van Vliet Netherlands 39 1.9k 0.6× 1.2k 0.8× 939 0.8× 624 1.0× 284 0.5× 249 5.2k
Hayit Greenspan Israel 40 4.6k 1.4× 2.3k 1.5× 713 0.6× 988 1.6× 2.5k 4.5× 182 8.3k
Jiliu Zhou China 30 1.5k 0.5× 2.7k 1.8× 2.1k 1.8× 398 0.6× 485 0.9× 158 4.4k
S. Kevin Zhou United States 35 2.6k 0.8× 1.4k 1.0× 990 0.9× 144 0.2× 1.1k 1.9× 197 4.5k

Countries citing papers authored by Huazhong Shu

Since Specialization
Citations

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

Fields of papers citing papers by Huazhong Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huazhong Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Huazhong Shu. A scholar is included among the top collaborators of Huazhong Shu 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 Huazhong Shu. Huazhong Shu 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.
Wang, Yungang, Tao Cheng, Jian Zhu, et al.. (2025). Optical surface imaging-driven tumor tracking with deformable image registration-enhanced deep learning model for surface-guided radiotherapy. Biomedical Signal Processing and Control. 106. 107694–107694. 1 indexed citations
2.
Liu, Yuhang, et al.. (2025). D2SFNet: Dual-domain spatial-frequency network for few-shot medical image segmentation. Expert Systems with Applications. 299. 130107–130107.
3.
Chen, Xin, et al.. (2024). MGSN: Depression EEG lightweight detection based on multiscale DGCN and SNN for multichannel topology. Biomedical Signal Processing and Control. 92. 106051–106051. 9 indexed citations
4.
Sun, Jiawei, et al.. (2024). PEW-SegDiff: Feature Pyramids Edge-Weighted Diffusion Segmentation model for ultrasound thyroid nodule. Biomedical Signal Processing and Control. 102. 107346–107346. 2 indexed citations
5.
Wu, Jiasong, Xuan Li, Fanman Meng, et al.. (2024). CSLNSpeech: Solving the extended speech separation problem with the help of Chinese sign language. Speech Communication. 165. 103131–103131.
6.
Wu, Jiasong, Youyong Kong, Chunfeng Yang, et al.. (2024). Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5967–5975. 4 indexed citations
7.
Wu, Jiasong, et al.. (2024). FST-Net: Facial Soft Tissue Landmark Localization on 3dMD Scans Using Feature Fusion and Local Coordinate Regression. SPIRE - Sciences Po Institutional REpository. 1–5.
8.
Shao, Zhuhong, et al.. (2024). Quaternion-based 2D-DOST and stacked principal component analysis network for multimodal face recognition. Applied Soft Computing. 166. 112154–112154. 8 indexed citations
9.
Sun, Zhifei, et al.. (2023). TSUnet-CC: Temporal Spectrogram Unet embedding Cross Channel-wise attention mechanism for MDD identification. PubMed. 2023. 1–4. 3 indexed citations
10.
Bi, Hui, et al.. (2023). BPAT-UNet: Boundary preserving assembled transformer UNet for ultrasound thyroid nodule segmentation. Computer Methods and Programs in Biomedicine. 238. 107614–107614. 42 indexed citations
11.
Zhang, Pengcheng, Shuhui Ren, Yi Liu, et al.. (2023). A total variation prior unrolling approach for computed tomography reconstruction. Medical Physics. 50(5). 2816–2834. 4 indexed citations
12.
Qiu, Qingtao, et al.. (2023). Deep learning‐based combination of [18F]‐FDG PET and CT images for producing pulmonary perfusion image. Medical Physics. 50(12). 7779–7790. 2 indexed citations
13.
Gao, Yuan, Hui Tang, Rongjun Ge, et al.. (2023). 3DSRNet: 3-D Spine Reconstruction Network Using 2-D Orthogonal X-Ray Images Based on Deep Learning. IEEE Transactions on Instrumentation and Measurement. 72. 1–14. 11 indexed citations
14.
Zhang, Chen, C. Lafond, A. Barateau, et al.. (2022). Automatic segmentation for plan-of-the-day selection in CBCT-guided adaptive radiation therapy of cervical cancer. Physics in Medicine and Biology. 67(24). 245020–245020. 6 indexed citations
15.
Chen, Da, et al.. (2020). Anisotropic tubular minimal path model with fast marching front freezing scheme. Pattern Recognition. 104. 107349–107349. 2 indexed citations
16.
Zhang, Yan, Jiasong Wu, Youyong Kong, Gouenou Coatrieux, & Huazhong Shu. (2019). Image denoising via a non-local patch graph total variation. PLoS ONE. 14(12). e0226067–e0226067. 1 indexed citations
17.
Yang, Wei, Huijuan Zhang, Jian Yang, et al.. (2017). Improving Low-Dose CT Image Using Residual Convolutional Network. IEEE Access. 5. 24698–24705. 89 indexed citations
18.
Karfoul, Ahmad, et al.. (2017). A local adjustment strategy for the initialization of dynamic causal modelling to infer effective connectivity in brain epileptic structures. Computers in Biology and Medicine. 84. 30–44. 3 indexed citations
19.
Wang, Lu, Laurent Albera, Amar Kachenoura, Huazhong Shu, & Lotfi Senhadji. (2014). Canonical polyadic decomposition of third-order semi-nonnegative semi-symmetric tensors using LU and QR matrix factorizations. EURASIP Journal on Advances in Signal Processing. 2014(1). 1 indexed citations
20.
Shu, Huazhong, Limin Luo, Guo-Niu Han, & Jean-Louis Coatrieux. (2006). General method to derive the relationship between two sets of Zernike coefficients corresponding to different aperture sizes. Journal of the Optical Society of America A. 23(8). 1960–1960. 21 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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