Guanghui Yue

1.7k total citations
87 papers, 1.0k citations indexed

About

Guanghui Yue is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Guanghui Yue has authored 87 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 22 papers in Artificial Intelligence and 21 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Guanghui Yue's work include Image and Video Quality Assessment (21 papers), Advanced Image Fusion Techniques (17 papers) and Image Enhancement Techniques (17 papers). Guanghui Yue is often cited by papers focused on Image and Video Quality Assessment (21 papers), Advanced Image Fusion Techniques (17 papers) and Image Enhancement Techniques (17 papers). Guanghui Yue collaborates with scholars based in China, United Kingdom and United States. Guanghui Yue's co-authors include Tianfu Wang, Tianwei Zhou, Bin Jiang, Runmin Cong, Houbing Song, Jianqiang Li, Baiying Lei, Wei Zhou, Weiqing Yan and Siying Li and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Guanghui Yue

79 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guanghui Yue China 19 517 269 241 190 133 87 1.0k
Tianwei Zhou China 19 457 0.9× 149 0.6× 180 0.7× 210 1.1× 114 0.9× 73 954
N. Sri Madhava Raja India 16 488 0.9× 464 1.7× 543 2.3× 140 0.7× 75 0.6× 46 1.3k
Changhao Sun China 13 405 0.8× 639 2.4× 423 1.8× 118 0.6× 134 1.0× 23 1.0k
M. Arfan Jaffar Pakistan 21 812 1.6× 288 1.1× 136 0.6× 234 1.2× 23 0.2× 98 1.3k
Sajid Ali Khan Pakistan 17 550 1.1× 394 1.5× 246 1.0× 144 0.8× 62 0.5× 27 1.1k
Tripty Singh India 17 393 0.8× 346 1.3× 276 1.1× 158 0.8× 34 0.3× 141 1.1k
Anas Bilal China 18 324 0.6× 302 1.1× 492 2.0× 56 0.3× 37 0.3× 66 1.1k
Behzad Bozorgtabar Switzerland 13 324 0.6× 284 1.1× 171 0.7× 89 0.5× 114 0.9× 37 703
Veronika Cheplygina Netherlands 14 464 0.9× 593 2.2× 381 1.6× 49 0.3× 85 0.6× 24 1.3k

Countries citing papers authored by Guanghui Yue

Since Specialization
Citations

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

Fields of papers citing papers by Guanghui Yue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanghui Yue

This figure shows the co-authorship network connecting the top 25 collaborators of Guanghui Yue. A scholar is included among the top collaborators of Guanghui Yue 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 Guanghui Yue. Guanghui Yue 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.
Zhou, Tianwei, et al.. (2025). Cross-Modality Interactive Attention Network for AI-generated image quality assessment. Pattern Recognition. 167. 111693–111693.
2.
3.
Liu, Weide, Jingwen Hou, Jingwen Hou, et al.. (2025). Improving multi-modal brain tumor segmentation via pre-training and knowledge distillation based post-training. Neurocomputing. 640. 130318–130318.
4.
Yang, Xiaoyuan, Guanghui Yue, Qiuping Jiang, et al.. (2025). Perception-Oriented Bidirectional Attention Network for Image Super-Resolution Quality Assessment. IEEE Transactions on Image Processing. 34. 7728–7743.
5.
Yue, Guanghui, Hanhe Lin, Jiaxuan Li, et al.. (2025). Benchmarking Laryngeal Neoplasm Segmentation: A Multicenter Dataset and an Effective Method. IEEE Transactions on Image Processing. 34. 7362–7377. 1 indexed citations
6.
Jiang, Bin, Yuchen Shang, Guanghui Yue, Huihui Wang, & Houbing Song. (2025). Long-Tailed Federated Learning in Internet of Medical Things Based on Ensemble Distillation and Imbalanced Calibration. IEEE Transactions on Consumer Electronics. 71(2). 4604–4615.
7.
Tang, Chang, Xinwang Liu, Guanghui Yue, et al.. (2025). Smooth Multiple Kernel k -Means via Underlying Graph Filtering. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 14855–14868. 2 indexed citations
8.
Jiang, Bin, Zhongyan Liu, Guanghui Yue, et al.. (2025). Privacy Safeguarding for Human-Computer Interaction Based on Adaptive Federated Learning With Actor–Critic Selection. IEEE Transactions on Consumer Electronics. 71(2). 6744–6756.
9.
Yue, Guanghui, et al.. (2024). Adaptive Context Aggregation Network With Prediction-Aware Decoding for Multimodal Brain Tumor Segmentation. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 9 indexed citations
10.
Yue, Guanghui, et al.. (2024). Progressive Region-to-Boundary Exploration Network for Camouflaged Object Detection. IEEE Transactions on Multimedia. 27. 236–248. 3 indexed citations
11.
Yue, Guanghui, et al.. (2024). Progressive Feature Enhancement Network for Automated Colorectal Polyp Segmentation. IEEE Transactions on Automation Science and Engineering. 22. 5792–5803. 6 indexed citations
12.
Yue, Guanghui, Shaoping Zhang, Tianwei Zhou, et al.. (2024). Pyramid Network With Quality-Aware Contrastive Loss for Retinal Image Quality Assessment. IEEE Transactions on Medical Imaging. 44(3). 1416–1431. 3 indexed citations
13.
Yue, Guanghui, et al.. (2023). Boundary uncertainty aware network for automated polyp segmentation. Neural Networks. 170. 390–404. 33 indexed citations
14.
Liu, Yun, et al.. (2023). Detection of GAN generated image using color gradient representation. Journal of Visual Communication and Image Representation. 95. 103876–103876. 4 indexed citations
15.
Wang, Zhipeng, et al.. (2023). Self-Supervised Hyperspectral Anomaly Detection Based on Finite Spatialwise Attention. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–18. 8 indexed citations
16.
Zhang, Ling, Wenchao Jiang, Ming Ye, et al.. (2023). Liver fibrosis MR images classification based on higher-order interaction and sample distribution rebalancing. Health Information Science and Systems. 11(1). 51–51. 2 indexed citations
17.
Yue, Guanghui, et al.. (2022). Boundary Constraint Network With Cross Layer Feature Integration for Polyp Segmentation. IEEE Journal of Biomedical and Health Informatics. 26(8). 4090–4099. 77 indexed citations
18.
Jiang, Bin, Jianqiang Li, Guanghui Yue, & Houbing Song. (2021). Differential Privacy for Industrial Internet of Things: Opportunities, Applications, and Challenges. IEEE Internet of Things Journal. 8(13). 10430–10451. 118 indexed citations
19.
Wang, Miaohui, Yi‐Jing Huang, Wuyuan Xie, et al.. (2021). Quality Measurement of Screen Images via Foreground Perception and Background Suppression. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 6 indexed citations
20.
Wang, Zhipeng, et al.. (2021). Dynamic-boosting attention for self-supervised video representation learning. Applied Intelligence. 52(3). 3143–3155. 3 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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