Xiaobin Hu

2.6k citations
19 papers · 654 · h-index 11

Impact in

    • Image Enhancement Techniques
    • Advanced Image Processing Techniques
    • Visual Attention and Saliency Detection
    • Image and Signal Denoising Methods
    • Video Surveillance and Tracking Methods
    • Advanced Neural Network Applications
    • Advanced Image Fusion Techniques

Papers in

Xiaobin Hu

16 papers receiving 644 citations

Peers

Xiaobin Hu
Comparison fields: 5 of 93
  • Computer Vision and Pattern Recognition 427
  • Media Technology 148
  • Radiology, Nuclear Medicine and Imaging 92
  • Health Informatics 5
  • Safety, Risk, Reliability and Quality 29
Replace Yoshito Mekada with:
Yoshito Mekada Japan
Bing Cao China
Chaowei Fang China
Beiji Zou China
Shireen Elhabian United States
Xuenan Cui South Korea
De Cheng China
Bin Xie China
Guangzhe Zhao China
Xiaobin Hu relative to Yoshito Mekada Japan Yoshito Mekada's profile →
Citations per field
00.5×5.7×
Yoshito Mekada · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Xiaobin Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaobin Hu Line = papers co-authored together Xiaobin Hu links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2021179
2 2019138
3 202398
4 202149
5 202039
6 202131
7 202128
8 202125
9 202221
10 202118
11 201910
12 202410
13 20244
14
Feedback Graph Attention Convolutional Network for MR Images Enhancement by Exploring Self-Similarity Features
20212
15 20251
16 20251
17 20250
18 20250
19 20240

About Xiaobin Hu

Xiaobin Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 19 papers that have together received 654 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (6 papers), Image Enhancement Techniques (3 papers), Advanced Neural Network Applications (3 papers), Brain Tumor Detection and Classification (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Image Processing Techniques and Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (427 citations), Media Technology (148 citations), Radiology, Nuclear Medicine and Imaging (92 citations), Health Informatics (5 citations) and Safety, Risk, Reliability and Quality (29 citations). Xiaobin Hu has collaborated with scholars based in China, Germany and Switzerland. Frequent co-authors include Wenqi Ren, Xiaochun Cao, Bjoern Menze, Xiuyi Jia, Fenglong Song, Zhuoran Zheng, Tao Wang, Hongwei Li, Yu Zhao and Giles Tetteh. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Artificial Intelligence, Frontiers in Neurorobotics, Friction and IEEE Transactions on Image Processing.

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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