Guangtao Zhai

21.9k total citations · 12 hit papers
579 papers, 14.8k citations indexed

About

Guangtao Zhai is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cognitive Neuroscience. According to data from OpenAlex, Guangtao Zhai has authored 579 papers receiving a total of 14.8k indexed citations (citations by other indexed papers that have themselves been cited), including 433 papers in Computer Vision and Pattern Recognition, 174 papers in Media Technology and 50 papers in Cognitive Neuroscience. Recurrent topics in Guangtao Zhai's work include Image and Video Quality Assessment (254 papers), Visual Attention and Saliency Detection (153 papers) and Advanced Image Fusion Techniques (124 papers). Guangtao Zhai is often cited by papers focused on Image and Video Quality Assessment (254 papers), Visual Attention and Saliency Detection (153 papers) and Advanced Image Fusion Techniques (124 papers). Guangtao Zhai collaborates with scholars based in China, Singapore and Canada. Guangtao Zhai's co-authors include Xiaokang Yang, Xiongkuo Min, Ke Gu, Wenjun Zhang, Weisi Lin, Wei Sun, Yucheng Zhu, Menghan Hu, Chang Wen Chen and Jiantao Zhou and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Guangtao Zhai

526 papers receiving 14.5k citations

Hit Papers

Using Free Energy Principle For Blind Image Quality Asses... 2014 2026 2018 2022 2014 2020 2017 2018 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangtao Zhai China 59 11.3k 5.1k 1.0k 846 827 579 14.8k
Xiaokang Yang China 64 13.2k 1.2× 4.1k 0.8× 649 0.6× 582 0.7× 1.4k 1.6× 522 16.2k
Weisi Lin Singapore 82 19.4k 1.7× 7.3k 1.4× 432 0.4× 1.4k 1.7× 2.0k 2.4× 612 22.4k
Jan Kautz United Kingdom 61 13.4k 1.2× 2.4k 0.5× 711 0.7× 540 0.6× 504 0.6× 234 17.2k
Carsten Rother United Kingdom 60 13.7k 1.2× 2.0k 0.4× 556 0.5× 542 0.6× 327 0.4× 141 16.5k
Haibin Ling United States 69 17.3k 1.5× 2.9k 0.6× 587 0.6× 180 0.2× 841 1.0× 327 21.1k
Roberto Manduchi United States 30 6.0k 0.5× 2.2k 0.4× 441 0.4× 214 0.3× 327 0.4× 130 8.4k
A.W.M. Smeulders Netherlands 43 14.2k 1.3× 2.3k 0.5× 544 0.5× 370 0.4× 827 1.0× 269 17.6k
Jie Yang China 60 6.5k 0.6× 2.0k 0.4× 835 0.8× 206 0.2× 592 0.7× 896 14.1k
Chen Change Loy Singapore 69 20.5k 1.8× 5.4k 1.1× 1.2k 1.1× 276 0.3× 1.6k 2.0× 211 25.7k
Phillip Isola United States 24 11.3k 1.0× 1.7k 0.3× 1.6k 1.5× 157 0.2× 760 0.9× 48 15.6k

Countries citing papers authored by Guangtao Zhai

Since Specialization
Citations

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

Fields of papers citing papers by Guangtao Zhai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangtao Zhai

This figure shows the co-authorship network connecting the top 25 collaborators of Guangtao Zhai. A scholar is included among the top collaborators of Guangtao Zhai 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 Guangtao Zhai. Guangtao Zhai 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
2.
Sun, Wei, Zhichao Zhang, Yucheng Zhu, et al.. (2025). AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images. IEEE Transactions on Circuits and Systems for Video Technology. 1–1. 2 indexed citations
3.
Zhang, Xinxin, Yan Zhu, Mei Zhou, et al.. (2025). Optimizing Video-Based Respiration Monitoring: Motion Artifact Reduction and Adaptive ROI Selection. IEEE Transactions on Multimedia. 27. 8225–8238.
4.
Liu, Yang, et al.. (2025). ESIQA: Perceptual Quality Assessment of Vision-Pro-based Egocentric Spatial Images. IEEE Transactions on Visualization and Computer Graphics. 31(5). 2277–2287. 6 indexed citations
5.
Wu, Hao, Zilin Wang, Jing Han, et al.. (2024). Developing and Validating an Intelligent Mouth-Opening Training Device: A New Solution for Restricted Mouth Opening. Sensors. 24(6). 1988–1988. 1 indexed citations
6.
Sun, Wei, et al.. (2024). Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(11). 7056–7071. 22 indexed citations
7.
Zhang, Weixia, Kede Ma, Guangtao Zhai, & Xiaokang Yang. (2024). Task-Specific Normalization for Continual Learning of Blind Image Quality Models. IEEE Transactions on Image Processing. 33. 1898–1910. 8 indexed citations
8.
Zhai, Guangtao, et al.. (2024). Time-Smooth Wireless Transmission of Probabilistic Slicing VR 360 Video in MISO-OFDM Systems. IEEE Transactions on Communications. 73(5). 3409–3422. 1 indexed citations
9.
Jia, Jun, Zhongpai Gao, Wei Sun, et al.. (2024). Hidden Barcode in Sub-Images with Invisible Locating Marker. ACM Transactions on Multimedia Computing Communications and Applications.
10.
Zhang, Zicheng, Haoning Wu, Erli Zhang, Guangtao Zhai, & Weisi Lin. (2024). Q-Bench+: A Benchmark for Multi-Modal Foundation Models on Low-Level Vision From Single Images to Pairs. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 10404–10418. 10 indexed citations
11.
Zhang, Kaiwei, Wei‐Zen Sun, Chunyi Li, et al.. (2024). PrefIQA: Human Preference Learning for AI-generated Image Quality Assessment. 1–5. 2 indexed citations
12.
Liu, Yutao, Ke Gu, Shiqi Wang, et al.. (2023). UIQI: A Comprehensive Quality Evaluation Index for Underwater Images. IEEE Transactions on Multimedia. 26. 2560–2573. 38 indexed citations
13.
Zhu, Yucheng, et al.. (2022). Blind Image Quality Assessment via Cross-View Consistency. IEEE Transactions on Multimedia. 25. 7607–7620. 63 indexed citations
14.
Zhai, Guangtao, Yucheng Zhu, & Xiongkuo Min. (2020). Comparative Perceptual Assessment of Visual Signals Using Free Energy Features. IEEE Transactions on Multimedia. 23. 3700–3713. 46 indexed citations
15.
Gao, Zhongpai, et al.. (2020). PAI-GCN: Permutable Anisotropic Graph Convolutional Networks for 3D Shape Representation Learning.. arXiv (Cornell University). 1 indexed citations
16.
Song, Xuefei, Zijia Liu, Zhongpai Gao, et al.. (2020). Artificial intelligence CT screening model for thyroid-associated ophthalmopathy and tests under clinical conditions. International Journal of Computer Assisted Radiology and Surgery. 16(2). 323–330. 49 indexed citations
17.
Zhang, Jiahe, et al.. (2019). Fine Detection and Classification of Multi-class Barcode in Complex Environments. 306–311. 7 indexed citations
18.
Jia, Jun, Guangtao Zhai, Jiahe Zhang, et al.. (2019). EMBDN: An Efficient Multiclass Barcode Detection Network for Complicated Environments. IEEE Internet of Things Journal. 6(6). 9919–9933. 18 indexed citations
19.
Gu, Ke, Jun Zhou, Junfei Qiao, et al.. (2017). No-Reference Quality Assessment of Screen Content Pictures. IEEE Transactions on Image Processing. 26(8). 4005–4018. 188 indexed citations
20.
Hu, Menghan, Xiaojing Chen, Xiaojing Chen, et al.. (2016). Combination of multiple model population analysis and mid-infrared technology for the estimation of copper content in Tegillarca granosa. Infrared Physics & Technology. 79. 198–204. 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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