Ke Gu

1.8k total citations
51 papers, 1.3k citations indexed

About

Ke Gu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Ke Gu has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 17 papers in Media Technology and 8 papers in Artificial Intelligence. Recurrent topics in Ke Gu's work include Image and Video Quality Assessment (19 papers), Advanced Image Fusion Techniques (14 papers) and Image Enhancement Techniques (14 papers). Ke Gu is often cited by papers focused on Image and Video Quality Assessment (19 papers), Advanced Image Fusion Techniques (14 papers) and Image Enhancement Techniques (14 papers). Ke Gu collaborates with scholars based in China, Singapore and United Kingdom. Ke Gu's co-authors include Guangtao Zhai, Weisi Lin, Junfei Qiao, Wenjun Zhang, Xiaokang Yang, Shiqi Wang, Huan Yang, Alan C. Bovik, Jun Zhou and Hantao Liu and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Journal of Colloid and Interface Science and IEEE Transactions on Image Processing.

In The Last Decade

Ke Gu

45 papers receiving 1.3k citations

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 20 1.1k 499 92 85 69 51 1.3k
Shan Du Canada 13 754 0.7× 543 1.1× 9 0.1× 90 1.1× 193 2.8× 48 1.2k
Bozhi Liu China 14 342 0.3× 141 0.3× 31 0.3× 42 0.5× 121 1.8× 35 612
Yang Wen China 11 484 0.5× 161 0.3× 10 0.1× 43 0.5× 124 1.8× 64 1.0k
Muhammad Jaleed Khan Pakistan 14 419 0.4× 417 0.8× 19 0.2× 29 0.3× 259 3.8× 36 1.2k
P. Ganesan India 16 352 0.3× 180 0.4× 20 0.2× 36 0.4× 89 1.3× 69 856
Zhiyu Zhou China 17 345 0.3× 59 0.1× 90 1.0× 27 0.3× 225 3.3× 111 888
Jesús Carlos Pedraza‐Ortega Mexico 13 142 0.1× 65 0.1× 36 0.4× 67 0.8× 54 0.8× 76 549
Ting Zhao China 12 535 0.5× 106 0.2× 4 0.0× 36 0.4× 91 1.3× 50 1.0k
Jianzhe Lin Canada 15 527 0.5× 849 1.7× 7 0.1× 35 0.4× 250 3.6× 32 1.3k

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
1.
Gu, Ke, et al.. (2025). Infrared Image Quality Evaluation: Benchmark Database and Computational Model. IEEE Transactions on Instrumentation and Measurement. 74. 1–14.
2.
Wang, Gongming, et al.. (2025). Neurodynamics-Driven Model Predictive Control With Soft-Measurement for Desulfurization System. IEEE Transactions on Automation Science and Engineering. 22. 19546–19554. 1 indexed citations
3.
Liu, Yutao, et al.. (2025). Deep No-Reference Quality Assessment for Underwater Enhanced Images. IEEE Transactions on Multimedia. 27. 9227–9239.
4.
Gu, Ke, Hongyan Liu, Bo Liu, et al.. (2025). Air Pollution Monitoring by Integrating Local and Global Information in Self-Adaptive Multiscale Transform Domain. IEEE Transactions on Multimedia. 27. 3716–3728. 17 indexed citations
5.
Zhu, Li, et al.. (2025). Encoding–Decoding-Based Recursive State Estimation for Mobile Robot Localization: A Multiple Description Case. IEEE/ASME Transactions on Mechatronics. 30(6). 7125–7136. 3 indexed citations
6.
Jia, Zheng, et al.. (2024). Blind image quality index with high-level Semantic Guidance and low-level fine-grained Representation. Neurocomputing. 600. 128151–128151.
7.
Gu, Ke, et al.. (2024). Multi-scale motion-based relational reasoning for group activity recognition. Engineering Applications of Artificial Intelligence. 139. 109570–109570.
8.
Chen, Weiling, et al.. (2024). Perception-and-Cognition-Inspired Quality Assessment for Sonar Image Super-Resolution. IEEE Transactions on Multimedia. 26. 6398–6410. 12 indexed citations
9.
Wu, Lifang, et al.. (2024). Learning Label Semantics for Weakly Supervised Group Activity Recognition. IEEE Transactions on Multimedia. 26. 6386–6397. 5 indexed citations
10.
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
11.
Zhou, Yu, et al.. (2023). Quality Assessment for Stitched Panoramic Images via Patch Registration and Bidimensional Feature Aggregation. IEEE Transactions on Multimedia. 26. 3354–3365. 7 indexed citations
12.
Guo, Pengfei, Hantao Liu, Delu Zeng, et al.. (2022). An Underwater Image Quality Assessment Metric. IEEE Transactions on Multimedia. 25. 5093–5106. 23 indexed citations
13.
Gu, Ke, et al.. (2022). Self-Organizing Multichannel Deep Learning System for River Turbidity Monitoring. IEEE Transactions on Instrumentation and Measurement. 71. 1–13. 8 indexed citations
14.
Yang, Xiaohan, Fan Li, Leida Li, Ke Gu, & Hantao Liu. (2022). Study of Natural Scene Categories in Measurement of Perceived Image Quality. IEEE Transactions on Instrumentation and Measurement. 71. 1–12. 7 indexed citations
15.
Gu, Ke, et al.. (2022). Air Pollution Prediction in Mass Rallies With a New Temporally-Weighted Sample-Based Multitask Learner. IEEE Transactions on Instrumentation and Measurement. 71. 1–15. 17 indexed citations
16.
Jiang, Qiuping, Zhentao Liu, Ke Gu, et al.. (2022). Single Image Super-Resolution Quality Assessment: A Real-World Dataset, Subjective Studies, and an Objective Metric. IEEE Transactions on Image Processing. 31. 2279–2294. 89 indexed citations
17.
Gu, Ke, et al.. (2021). Active Vision for Deep Visual Learning: A Unified Pooling Framework. IEEE Transactions on Industrial Informatics. 18(10). 6610–6618. 4 indexed citations
18.
Gu, Ke, et al.. (2020). A New Anomaly Detector of Flare Pilot Based on Siamese Network. 2278–2283. 3 indexed citations
19.
Gu, Ke, et al.. (2020). Ensemble Meta-Learning for Few-Shot Soot Density Recognition. IEEE Transactions on Industrial Informatics. 17(3). 2261–2270. 90 indexed citations
20.
Lin, Weisi, et al.. (2017). Just Noticeable Difference for natural images using RMS contrast and feed-back mechanism. Neurocomputing. 275. 366–376. 21 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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