Xuming Zhang

1.7k total citations
93 papers, 1.2k citations indexed

About

Xuming Zhang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biomedical Engineering. According to data from OpenAlex, Xuming Zhang has authored 93 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Computer Vision and Pattern Recognition, 43 papers in Media Technology and 13 papers in Biomedical Engineering. Recurrent topics in Xuming Zhang's work include Advanced Image Fusion Techniques (34 papers), Image and Signal Denoising Methods (34 papers) and Medical Image Segmentation Techniques (15 papers). Xuming Zhang is often cited by papers focused on Advanced Image Fusion Techniques (34 papers), Image and Signal Denoising Methods (34 papers) and Medical Image Segmentation Techniques (15 papers). Xuming Zhang collaborates with scholars based in China, Australia and United Kingdom. Xuming Zhang's co-authors include Mingyue Ding, Youlun Xiong, Zhiwen Huang, Aizhu Zhang, Genyun Sun, Jinchang Ren, Xiuping Jia, Yi Zhan, Yanjuan Yao and Quan Zhou and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Information Theory.

In The Last Decade

Xuming Zhang

90 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xuming Zhang China	20	661	487	196	185	168	93	1.2k
Panqu Wang United States	3	895 1.4×	280 0.6×	149 0.8×	299 1.6×	101 0.6×	6	1.4k
Cong Bai China	24	878 1.3×	266 0.5×	142 0.7×	321 1.7×	79 0.5×	109	1.6k
Chun-Fu Richard Chen United States	6	797 1.2×	199 0.4×	153 0.8×	395 2.1×	115 0.7×	12	1.4k
L. Ganesan India	17	937 1.4×	434 0.9×	79 0.4×	174 0.9×	72 0.4×	56	1.4k
Cheolkon Jung China	24	1.8k 2.8×	700 1.4×	96 0.5×	180 1.0×	146 0.9×	203	2.4k
Volodymyr Ponomaryov Mexico	15	628 1.0×	298 0.6×	129 0.7×	256 1.4×	69 0.4×	172	1.1k
Guangmin Sun China	20	406 0.6×	132 0.3×	301 1.5×	280 1.5×	128 0.8×	148	1.3k
Xiangtai Li China	18	936 1.4×	263 0.5×	70 0.4×	347 1.9×	66 0.4×	58	1.6k
Haniza Yazid Malaysia	17	509 0.8×	200 0.4×	243 1.2×	150 0.8×	76 0.5×	72	1.1k

Countries citing papers authored by Xuming Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Xuming Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuming Zhang

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

Zhou, Quan, et al.. (2024). Robust Semi-Supervised 3D Medical Image Segmentation With Diverse Joint-Task Learning and Decoupled Inter-Student Learning. IEEE Transactions on Medical Imaging. 43(6). 2317–2331. 2 indexed citations

Zhou, Quan, et al.. (2024). Specific Instance and Cross-Prompt-Based Robust 3-D Semi-Supervised Medical Image Segmentation. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 2 indexed citations

Wang, Yaowei, et al.. (2024). CIRF: Coupled Image Reconstruction and Fusion Strategy for Deep Learning Based Multi-Modal Image Fusion. Sensors. 24(11). 3545–3545. 2 indexed citations

Zhou, Quan, et al.. (2023). Short‐term and long‐term memory self‐attention network for segmentation of tumours in 3D medical images. CAAI Transactions on Intelligence Technology. 8(4). 1524–1537. 13 indexed citations

Ma, Qingshuang, Enyu Liu, Qiuzhi Gao, et al.. (2023). Thermodynamic calculation and machine learning aided composition design of new nickel-based superalloys. Journal of Materials Research and Technology. 26. 4168–4178. 18 indexed citations

Ding, Mingyue, et al.. (2023). F-DARTS: Foveated Differentiable Architecture Search Based Multimodal Medical Image Fusion. IEEE Transactions on Medical Imaging. 42(11). 3348–3361. 8 indexed citations

Zhou, Quan, Junming Wang, Zhiwen Huang, et al.. (2021). Anterior chamber angle classification in anterior segment optical coherence tomography images using hybrid attention based pyramidal convolutional network. Biomedical Signal Processing and Control. 68. 102686–102686. 8 indexed citations

Huang, Zhiwen, et al.. (2021). Batch Similarity Based Triplet Loss Assembled into Light-Weighted Convolutional Neural Networks for Medical Image Classification. Sensors. 21(3). 764–764. 6 indexed citations

Huang, Zhiwen, et al.. (2020). Medical Image Classification Using a Light-Weighted Hybrid Neural Network Based on PCANet and DenseNet. IEEE Access. 8. 24697–24712. 82 indexed citations

10.

Zhang, Xuming, et al.. (2020). Real-Time Ultrasound Image Despeckling Using Mixed-Attention Mechanism Based Residual UNet. IEEE Access. 8. 195327–195340. 49 indexed citations

11.

Zhang, Xuming, et al.. (2020). Synthesis of Prostate MR Images for Classification Using Capsule Network-Based GAN Model. Sensors. 20(20). 5736–5736. 15 indexed citations

12.

Feng, Yang, Mingyue Ding, & Xuming Zhang. (2019). Non-Rigid Multi-Modal 3D Medical Image Registration Based on Foveated Modality Independent Neighborhood Descriptor. Sensors. 19(21). 4675–4675. 17 indexed citations

13.

Ding, Mingyue, et al.. (2019). Laplacian Eigenmaps Network-Based Nonlocal Means Method for MR Image Denoising. Sensors. 19(13). 2918–2918. 19 indexed citations

14.

Ding, Mingyue, et al.. (2018). PCANet-Based Structural Representation for Nonrigid Multimodal Medical Image Registration. Sensors. 18(5). 1477–1477. 25 indexed citations

15.

Zhang, Xuming, et al.. (2016). Spiking Cortical Model Based Multimodal Medical Image Fusion by Combining Entropy Information with Weber Local Descriptor. Sensors. 16(9). 1503–1503. 3 indexed citations

16.

Tian, Xiaoying, et al.. (2016). Electrocardiogram Signal Denoising Using Extreme-Point Symmetric Mode Decomposition and Nonlocal Means. Sensors. 16(10). 1584–1584. 19 indexed citations

17.

Zhang, Kang, Pengxing Yi, Yahui Li, Bing Hui, & Xuming Zhang. (2015). A New Method to Evaluate Surface Defects with an Electromagnetic Acoustic Transducer. Sensors. 15(7). 17420–17432. 10 indexed citations

18.

Yi, Pengxing, Kang Zhang, Yahui Li, & Xuming Zhang. (2014). Influence of the Lift-Off Effect on the Cut-Off Frequency of the EMAT-Generated Rayleigh Wave Signal. Sensors. 14(10). 19687–19699. 13 indexed citations

19.

Zhang, Xuming. (2009). Study on Extraction Method of Water Body from TM Based on Munsell HSV Transformation. Yaogan jishu yu yingyong. 2 indexed citations

20.

Zhang, Xuming & Binshi Xu. (2004). Adaptive median-weighted mean hybrid filter. Optical Technique. 8 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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