Ke Gu

10.9k total citations · 7 hit papers
168 papers, 8.5k citations indexed

About

Ke Gu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ke Gu has authored 168 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Computer Vision and Pattern Recognition, 78 papers in Media Technology and 9 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ke Gu's work include Image and Video Quality Assessment (123 papers), Advanced Image Fusion Techniques (67 papers) and Visual Attention and Saliency Detection (56 papers). Ke Gu is often cited by papers focused on Image and Video Quality Assessment (123 papers), Advanced Image Fusion Techniques (67 papers) and Visual Attention and Saliency Detection (56 papers). Ke Gu collaborates with scholars based in China, Singapore and United States. Ke Gu's co-authors include Guangtao Zhai, Xiaokang Yang, Weisi Lin, Wenjun Zhang, Xiongkuo Min, Junfei Qiao, Chang Wen Chen, Shiqi Wang, Yutao Liu and Min Liu and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Ke Gu

165 papers receiving 8.4k citations

Hit Papers

Using Free Energy Principle For Blind Image Quality Asses... 2014 2026 2018 2022 2014 2018 2017 2017 2015 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
Ke Gu China 45 7.4k 3.7k 689 369 330 168 8.5k
Hang Zhao United States 20 4.0k 0.5× 841 0.2× 92 0.1× 256 0.7× 690 2.1× 50 6.6k
Feng Shao China 33 3.4k 0.5× 1.9k 0.5× 225 0.3× 81 0.2× 635 1.9× 256 4.6k
Ming-Yu Liu United States 26 6.4k 0.9× 1.2k 0.3× 61 0.1× 198 0.5× 354 1.1× 73 8.2k
Xiaohui Shen United States 42 8.7k 1.2× 1.3k 0.3× 110 0.2× 133 0.4× 347 1.1× 99 9.9k
Ashish Kumar Bhandari India 33 2.3k 0.3× 1.4k 0.4× 105 0.2× 118 0.3× 77 0.2× 125 3.5k
Zhe Lin United States 51 9.8k 1.3× 1.8k 0.5× 72 0.1× 140 0.4× 597 1.8× 169 11.4k
Ding Liu China 32 3.8k 0.5× 1.5k 0.4× 107 0.2× 131 0.4× 342 1.0× 122 5.7k
Vijayan K. Asari United States 28 3.0k 0.4× 686 0.2× 106 0.2× 173 0.5× 373 1.1× 283 5.5k
Yu Li China 36 4.9k 0.7× 1.9k 0.5× 207 0.3× 106 0.3× 90 0.3× 150 6.4k

Countries citing papers authored by Ke Gu

Since Specialization
Citations

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

Fields of papers citing papers by Ke Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Gu. A scholar is included among the top collaborators of Ke Gu 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 Ke Gu. Ke Gu 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.
Liu, Hongyan, et al.. (2024). Subjective and objective quality evaluation for industrial images. Displays. 85. 102858–102858. 1 indexed citations
3.
Yang, Chunjing, Aimin Wu, Liqiang Tan, et al.. (2023). Epigallocatechin-3-Gallate Alleviates Liver Oxidative Damage Caused by Iron Overload in Mice through Inhibiting Ferroptosis. Nutrients. 15(8). 1993–1993. 31 indexed citations
4.
Zhu, Yucheng, Xiongkuo Min, Dandan Zhu, et al.. (2022). Toward Visual Behavior and Attention Understanding for Augmented 360 Degree Videos. ACM Transactions on Multimedia Computing Communications and Applications. 19(2s). 1–24. 22 indexed citations
5.
Gu, Ke, et al.. (2020). Kernel-Ridge Regression-Based Quality Measure and Enhancement of Three-Dimensional-Synthesized Images. IEEE Transactions on Industrial Electronics. 68(1). 423–433. 14 indexed citations
6.
Wang, Guangcheng, Zhongyuan Wang, Ke Gu, et al.. (2019). Blind Quality Metric of DIBR-Synthesized Images in the Discrete Wavelet Transform Domain. IEEE Transactions on Image Processing. 29. 1802–1814. 58 indexed citations
7.
Xia, Zhifang, Ke Gu, Shiqi Wang, Hantao Liu, & Sam Kwong. (2019). Toward Accurate Quality Estimation of Screen Content Pictures With Very Sparse Reference Information. IEEE Transactions on Industrial Electronics. 67(3). 2251–2261. 12 indexed citations
8.
Jiang, Kui, Zhongyuan Wang, Peng Yi, et al.. (2019). ATMFN: Adaptive-Threshold-Based Multi-Model Fusion Network for Compressed Face Hallucination. IEEE Transactions on Multimedia. 22(10). 2734–2747. 101 indexed citations
9.
Liu, Yutao, Ke Gu, Shiqi Wang, Debin Zhao, & Wen Gao. (2018). Blind Quality Assessment of Camera Images Based on Low-Level and High-Level Statistical Features. IEEE Transactions on Multimedia. 21(1). 135–146. 55 indexed citations
10.
Yue, Guanghui, et al.. (2018). Analysis of Structural Characteristics for Quality Assessment of Multiply Distorted Images. IEEE Transactions on Multimedia. 20(10). 2722–2732. 33 indexed citations
11.
Gu, Ke, et al.. (2018). A Highly Efficient Blind Image Quality Assessment Metric of 3-D Synthesized Images Using Outlier Detection. IEEE Transactions on Industrial Informatics. 15(7). 4120–4128. 46 indexed citations
12.
Gu, Ke, et al.. (2018). Full-Reference Image Quality Assessment by Combining Features in Spatial and Frequency Domains. IEEE Transactions on Broadcasting. 65(1). 138–151. 34 indexed citations
13.
Zhou, Yu, Leida Li, Jinjian Wu, et al.. (2018). Blind Quality Index for Multiply Distorted Images Using Biorder Structure Degradation and Nonlocal Statistics. IEEE Transactions on Multimedia. 20(11). 3019–3032. 30 indexed citations
14.
Li, Leida, Yu Zhou, Ke Gu, Weisi Lin, & Shiqi Wang. (2017). Quality Assessment of DIBR-Synthesized Images by Measuring Local Geometric Distortions and Global Sharpness. IEEE Transactions on Multimedia. 20(4). 914–926. 91 indexed citations
15.
Qian, Jiansheng, et al.. (2017). Towards efficient blind quality evaluation of screen content images based on edge‐preserving filter. Electronics Letters. 53(9). 592–594. 10 indexed citations
16.
Wu, Jun, et al.. (2017). No-reference image quality assessment with center-surround based natural scene statistics. Multimedia Tools and Applications. 77(16). 20731–20751. 8 indexed citations
17.
Yue, Guanghui, Chunping Hou, & Ke Gu. (2017). Subjective quality assessment of animation images. 1–4. 6 indexed citations
18.
Wang, Shiqi, Ke Gu, Xinfeng Zhang, et al.. (2016). Reduced-Reference Quality Assessment of Screen Content Images. IEEE Transactions on Circuits and Systems for Video Technology. 28(1). 1–14. 89 indexed citations
19.
Min, Xiongkuo, Guangtao Zhai, Zhongpai Gao, & Ke Gu. (2014). Visual attention data for image quality assessment databases. 10. 894–897. 22 indexed citations
20.
Gu, Ke, Guangtao Zhai, Xiaokang Yang, & Wenjun Zhang. (2012). An improved full-reference image quality metric based on structure compensation. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1–6. 14 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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