Ke Yu

10.3k total citations · 1 hit paper
34 papers, 1.1k citations indexed

About

Ke Yu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Ke Yu has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 10 papers in Electrical and Electronic Engineering and 6 papers in Aerospace Engineering. Recurrent topics in Ke Yu's work include Advanced Vision and Imaging (5 papers), Advanced Image Processing Techniques (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Ke Yu is often cited by papers focused on Advanced Vision and Imaging (5 papers), Advanced Image Processing Techniques (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Ke Yu collaborates with scholars based in China, Singapore and Hong Kong. Ke Yu's co-authors include Chen Change Loy, Xintao Wang, Chao Dong, Kelvin C. K. Chan, Xiaoou Tang, Kaiquan Shen, Kenneth Kwok, Shiyun Shao, Xiaoping Li and Nitish V. Thakor and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Small.

In The Last Decade

Ke Yu

33 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

EDVR: Video Restoration With Enhanced Deformable Convolutional Networks

2019 706 citations Xintao Wang, Kelvin C. K. Chan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ke Yu China	10	889	288	77	57	43	34	1.1k
Keita Takahashi Japan	12	538 0.6×	269 0.9×	72 0.9×	44 0.8×	25 0.6×	130	649
Claudio Cusano Italy	22	1.3k 1.4×	257 0.9×	176 2.3×	51 0.9×	83 1.9×	57	1.5k
Zhongkang Lu Singapore	17	1.1k 1.2×	287 1.0×	252 3.3×	79 1.4×	32 0.7×	66	1.2k
Jongyoo Kim South Korea	12	1.1k 1.3×	655 2.3×	34 0.4×	55 1.0×	57 1.3×	26	1.2k
Kishor M. Bhurchandi India	14	452 0.5×	129 0.4×	82 1.1×	54 0.9×	79 1.8×	52	661
Hancheng Zhu China	14	905 1.0×	396 1.4×	31 0.4×	126 2.2×	60 1.4×	59	1.0k
Xiangyu Xu China	14	1.3k 1.4×	497 1.7×	59 0.8×	15 0.3×	49 1.1×	33	1.5k
Aladine Chetouani France	16	448 0.5×	138 0.5×	62 0.8×	38 0.7×	39 0.9×	89	741
Ee Ping Ong Singapore	19	1.3k 1.5×	325 1.1×	355 4.6×	90 1.6×	48 1.1×	88	1.5k

Countries citing papers authored by Ke Yu

Since Specialization

Citations

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

Fields of papers citing papers by Ke Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Yu. A scholar is included among the top collaborators of Ke Yu 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 Yu. Ke Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zhang, Ce, et al.. (2024). Concept-Guided Prompt Learning for Generalization in Vision-Language Models. Proceedings of the AAAI Conference on Artificial Intelligence. 38(7). 7377–7386. 9 indexed citations

2.

Yu, Ke, et al.. (2024). Study on Traveling Wave Fault Localization of Transmission Line Based on NGO-VMD Algorithm. Energies. 17(9). 2003–2003. 5 indexed citations

3.

Wang, Xianmin, et al.. (2023). A Novel Deep Learning Method for Automatic Recognition of Coseismic Landslides. Remote Sensing. 15(4). 977–977. 5 indexed citations

4.

Wei, Hualiang, Zexiang Chen, Zhiyu Zhou, et al.. (2023). The CoFeNC@NC Catalyst with Numerous Surface Cracks Bidirectionally Catalyzes the Conversion of Polysulfides to Accelerate the Reaction Kinetics of Lithium–Sulfur Batteries. Small. 20(6). e2304531–e2304531. 7 indexed citations

5.

Yu, Ke, et al.. (2023). Delay prediction with spatial–temporal bi-directional LSTM in railway network. ICT Express. 9(5). 921–926. 6 indexed citations

6.

Sun, Quan, Xuhui Pan, Ling Xiao, et al.. (2023). A Vision-Based Pose Estimation of a Non-Cooperative Target Based on a Self-Supervised Transformer Network. Aerospace. 10(12). 997–997. 2 indexed citations

7.

Yu, Ke, et al.. (2022). Routing Strategy for SDN Large Flow Based on Deep Reinforcement Learning. 523–530. 2 indexed citations

8.

Tao, Yifeng, et al.. (2022). De novo Prediction of Cell-Drug Sensitivities Using Deep Learning-based Graph Regularized Matrix Factorization.. PubMed. 27. 278–289. 4 indexed citations

9.

Yu, Ke, et al.. (2021). ReconfigISP: Reconfigurable Camera Image Processing Pipeline. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 4228–4237. 11 indexed citations

10.

Chan, Kelvin C. K., Xintao Wang, Ke Yu, Chao Dong, & Chen Change Loy. (2021). Understanding Deformable Alignment in Video Super-Resolution. Proceedings of the AAAI Conference on Artificial Intelligence. 35(2). 973–981. 107 indexed citations

11.

Yu, Ke, Xintao Wang, Chao Dong, Xiaoou Tang, & Chen Change Loy. (2021). Path-Restore: Learning Network Path Selection for Image Restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(10). 7078–7092. 53 indexed citations

12.

Wang, Xintao, Kelvin C. K. Chan, Ke Yu, Chao Dong, & Chen Change Loy. (2019). EDVR: Video Restoration With Enhanced Deformable Convolutional Networks. 1954–1963. 706 indexed citations breakdown →

13.

Mir, Hasan, et al.. (2014). ERP signal estimation from single trial EEG. PubMed. 6. 2989–2992. 5 indexed citations

14.

Yu, Ke, et al.. (2014). Cognitive workload estimation due to vague visual stimuli using saccadic eye movements. PubMed. 2014. 2993–2996. 16 indexed citations

15.

Shen, Kaiquan, Ke Yu, Aishwarya Bandla, et al.. (2013). Multiple time-lag canonical correlation analysis for removing muscular artifacts in EEG. PubMed. 114. 6792–6795. 3 indexed citations

16.

Yu, Ke, et al.. (2011). A spatio-temporal filtering approach to denoising of single-trial ERP in rapid image triage. Journal of Neuroscience Methods. 204(2). 288–295. 12 indexed citations

17.

Yu, Ke, et al.. (2011). Common Spatio-Temporal Pattern for Single-Trial Detection of Event-Related Potential in Rapid Serial Visual Presentation Triage. IEEE Transactions on Biomedical Engineering. 58(9). 2513–2520. 27 indexed citations

18.

Wang, Hongbo, Ke Yu, & Hongnian Yu. (2010). Mobile robot localisation using ZigBee wireless sensor networks and a vision sensor. International Journal of Modelling Identification and Control. 10(3/4). 184–184. 7 indexed citations

19.

Li, Cuihua, Nanning Zheng, & Ke Yu. (2005). Equivalent templates of multiscale edge detector. 198–198. 1 indexed citations

20.

Yu, Ke. (1998). THE APPLICATION OF WAVELET NEURAL NETWORK IN SPECTRAL DATA COMPRESSION AND CLASSIFICATION. JOURNAL OF INFRARED AND MILLIMETER WAVES. 1 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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