Xiaobin Hu

2.5k total citations
18 papers, 616 citations indexed

About

Xiaobin Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Xiaobin Hu has authored 18 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in Xiaobin Hu's work include Advanced Image Processing Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced Neural Network Applications (3 papers). Xiaobin Hu is often cited by papers focused on Advanced Image Processing Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced Neural Network Applications (3 papers). Xiaobin Hu collaborates with scholars based in China, Germany and Switzerland. Xiaobin Hu's co-authors include Wenqi Ren, Xiaochun Cao, Bjoern Menze, Fenglong Song, Tao Wang, Xiuyi Jia, Zhuoran Zheng, Hongwei Li, Yu Zhao and Anjany Sekuboyina and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Xiaobin Hu

14 papers receiving 605 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaobin Hu China	11	403	139	118	74	52	18	616
Yoshito Mekada Japan	13	319 0.8×	64 0.5×	87 0.7×	68 0.9×	33 0.6×	64	575
Huijie Fan China	14	413 1.0×	108 0.8×	83 0.7×	152 2.1×	68 1.3×	53	818
M. G. F. Costa Brazil	16	239 0.6×	193 1.4×	187 1.6×	148 2.0×	83 1.6×	65	599
Guangzhe Zhao China	13	189 0.5×	83 0.6×	90 0.8×	75 1.0×	70 1.3×	41	543
Antoine Manzanera France	10	337 0.8×	31 0.2×	61 0.5×	45 0.6×	34 0.7×	37	453
Kun Zheng China	14	166 0.4×	44 0.3×	172 1.5×	53 0.7×	104 2.0×	51	594
Neil Birkbeck United States	15	695 1.7×	147 1.1×	119 1.0×	63 0.9×	94 1.8×	56	883
Cícero Ferreira Fernandes Costa Filho Brazil	15	214 0.5×	167 1.2×	184 1.6×	140 1.9×	80 1.5×	55	553
Changyan Xiao China	13	380 0.9×	115 0.8×	90 0.8×	32 0.4×	49 0.9×	49	629

Countries citing papers authored by Xiaobin Hu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaobin Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobin Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobin Hu. A scholar is included among the top collaborators of Xiaobin 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 Xiaobin Hu. Xiaobin 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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18 of 18 papers shown

Cui, Yuning, et al.. (2025). ILVMamba: Illumination-Aware Lightweight Visual Mamba Framework for Efficient High-Resolution Image Enhancement. IEEE Transactions on Artificial Intelligence. 7(3). 1341–1354.

Hu, Xiaobin, et al.. (2025). DVHGNN: Multi-Scale Dilated Vision HGNN for Efficient Vision Recognition. 20158–20168.

Lin, Chuming, Chengming Xu, Xiaobin Hu, et al.. (2025). Disentangle Identity, Cooperate Emotion: Correlation-Aware Emotional Talking Portrait Generation. mediaTUM (Technical University of Munich). 9987–9995.

Tang, Peng, Xintong Yan, Nan Yang, et al.. (2024). Joint-individual fusion structure with fusion attention module for multi-modal skin cancer classification. Pattern Recognition. 154. 110604–110604. 9 indexed citations

Hu, Xiaobin, et al.. (2024). 3D Priors-Guided Diffusion for Blind Face Restoration. 1829–1838. 3 indexed citations

Hu, Xiaobin, et al.. (2024). Efficiently Exploiting Spatially Variant Knowledge for Video Deblurring. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 12581–12593.

Hu, Xiaobin, Shuo Wang, Xuebin Qin, et al.. (2023). High-Resolution Iterative Feedback Network for Camouflaged Object Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 881–889. 84 indexed citations

Rinaldi, Lisa, Francesca Botta, Xiaobin Hu, et al.. (2022). Application of nnU-Net for Automatic Segmentation of Lung Lesions on CT Images and Its Implication for Radiomic Models. Journal of Clinical Medicine. 11(24). 7334–7334. 20 indexed citations

Yan, Yanyang, Wenqi Ren, Xiaobin Hu, et al.. (2021). SRGAT: Single Image Super-Resolution With Graph Attention Network. IEEE Transactions on Image Processing. 30. 4905–4918. 47 indexed citations

10.

Hu, Xiaobin, Wenqi Ren, Hongwei Li, et al.. (2021). Feedback Graph Attention Convolutional Network for MR Images Enhancement by Exploring Self-Similarity Features. 327–337. 2 indexed citations

11.

Hu, Xiaobin, Wenqi Ren, Jiaolong Yang, et al.. (2021). Face Restoration via Plug-and-Play 3D Facial Priors. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(12). 8910–8926. 24 indexed citations

12.

Guo, Rui, Xiaobin Hu, Pengpeng Xu, et al.. (2021). Weakly supervised deep learning for determining the prognostic value of 18F-FDG PET/CT in extranodal natural killer/T cell lymphoma, nasal type. European Journal of Nuclear Medicine and Molecular Imaging. 48(10). 3151–3161. 30 indexed citations

13.

Zheng, Zhuoran, Wenqi Ren, Xiaochun Cao, et al.. (2021). Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning. 16180–16189. 170 indexed citations

14.

Hu, Xiaobin, Jian Song, Zhenhua Liao, et al.. (2021). Morphological residual convolutional neural network (M-RCNN) for intelligent recognition of wear particles from artificial joints. Friction. 10(4). 560–572. 17 indexed citations

15.

Hu, Xiaobin, Wenqi Ren, Kaicheng Yu, et al.. (2021). Pyramid Architecture Search for Real-Time Image Deblurring. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 4278–4287. 23 indexed citations

16.

Hu, Xiaobin, Rui Guo, Jieneng Chen, et al.. (2020). Coarse-to-Fine Adversarial Networks and Zone-Based Uncertainty Analysis for NK/T-Cell Lymphoma Segmentation in CT/PET Images. IEEE Journal of Biomedical and Health Informatics. 24(9). 2599–2608. 38 indexed citations

17.

Chen, Jieneng, et al.. (2019). Toward a Brain-Inspired System: Deep Recurrent Reinforcement Learning for a Simulated Self-Driving Agent. Frontiers in Neurorobotics. 13. 40–40. 10 indexed citations

18.

Zhao, Yu, Hongwei Li, Shaohua Wan, et al.. (2019). Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation. IEEE Journal of Biomedical and Health Informatics. 23(4). 1363–1373. 139 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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