Dake Zhou

436 total citations
35 papers, 299 citations indexed

About

Dake Zhou is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Control and Systems Engineering. According to data from OpenAlex, Dake Zhou has authored 35 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 15 papers in Media Technology and 4 papers in Control and Systems Engineering. Recurrent topics in Dake Zhou's work include Advanced Image Processing Techniques (16 papers), Image Processing Techniques and Applications (11 papers) and Advanced Vision and Imaging (10 papers). Dake Zhou is often cited by papers focused on Advanced Image Processing Techniques (16 papers), Image Processing Techniques and Applications (11 papers) and Advanced Vision and Imaging (10 papers). Dake Zhou collaborates with scholars based in China and United States. Dake Zhou's co-authors include Xin Yang, Zhiqiang Li, Zhiqiang Li, Zhenmin Tang, Ruigang Yang, Yuzhong Wang, Tao Li, Songyan Zhu, Yifan Zhang and Yifan Zhang and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Neurocomputing.

In The Last Decade

Dake Zhou

31 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dake Zhou China 11 219 100 42 28 27 35 299
Yakun Chang China 9 298 1.4× 116 1.2× 50 1.2× 13 0.5× 19 0.7× 17 403
Youlian Zhu China 7 174 0.8× 60 0.6× 50 1.2× 29 1.0× 14 0.5× 18 320
Telagarapu Prabhakar India 8 72 0.3× 46 0.5× 27 0.6× 23 0.8× 14 0.5× 30 186
Ling-Hao Han China 7 530 2.4× 177 1.8× 15 0.4× 21 0.8× 31 1.1× 10 586
Medha Wyawahare India 5 118 0.5× 30 0.3× 42 1.0× 8 0.3× 38 1.4× 18 221
Ljubomir Jovanov Belgium 10 223 1.0× 103 1.0× 49 1.2× 11 0.4× 45 1.7× 39 333
Bin Dong China 8 183 0.8× 59 0.6× 32 0.8× 6 0.2× 25 0.9× 18 255
Gunnam Suryanarayana India 9 121 0.6× 76 0.8× 37 0.9× 29 1.0× 21 0.8× 36 329

Countries citing papers authored by Dake Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Dake Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dake Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Dake Zhou. A scholar is included among the top collaborators of Dake Zhou 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 Dake Zhou. Dake Zhou 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.
Yang, Xin, et al.. (2024). Context CVGN: A conditional multimodal trajectory prediction network based on scene semantic modeling. Information Sciences. 666. 120433–120433. 2 indexed citations
2.
Zhou, Dake, et al.. (2024). Dual experience replay-based TD3 for single intersection signal control. The Journal of Supercomputing. 80(11). 15161–15182. 2 indexed citations
4.
Zhou, Dake, et al.. (2023). Imitation learning based deep reinforcement learning for traffic signal control. 81–81. 1 indexed citations
5.
Yang, Xin, et al.. (2022). Deep networks for image super-resolution using hierarchical features. Bulletin of the Polish Academy of Sciences Technical Sciences. 139616–139616. 1 indexed citations
6.
Yang, Xin, et al.. (2022). DCU-net: a deformable convolutional neural network based on cascade U-net for retinal vessel segmentation. Multimedia Tools and Applications. 81(11). 15593–15607. 40 indexed citations
7.
Yang, Xin, et al.. (2021). Retinal vessel segmentation based on an improved deep forest. International Journal of Imaging Systems and Technology. 31(4). 1792–1802. 11 indexed citations
8.
Yang, Xin, et al.. (2021). Image super-resolution network based on a multi-branch attention mechanism. Signal Image and Video Processing. 15(7). 1397–1405. 10 indexed citations
9.
Zhou, Dake, et al.. (2021). Unsurpervised monocular image depth estimation based on the prediction of local plane parameters. Journal of Image and Graphics. 26(1). 165–175.
10.
Yang, Xin, et al.. (2021). Fast Image Super-Resolution Based on Limit Gradient Embedding Cascaded Forest. Circuits Systems and Signal Processing. 41(4). 2007–2026. 2 indexed citations
11.
Yang, Xin, et al.. (2021). Image super-resolution reconstruction based on improved Dirac residual network. Multidimensional Systems and Signal Processing. 32(4). 1065–1082. 7 indexed citations
12.
Yang, Xin, et al.. (2021). Remote sensing image super‐resolution based on convolutional blind denoising adaptive dense connection. IET Image Processing. 15(11). 2508–2520. 4 indexed citations
13.
Yang, Xin, Songyan Zhu, Dake Zhou, & Yifan Zhang. (2019). An improved target tracking algorithm based on spatio-temporal context under occlusions. Multidimensional Systems and Signal Processing. 31(1). 329–344. 6 indexed citations
14.
Wu, Xiaodong, et al.. (2018). Analytical Model for the Flow in Progressing Cavity Pump with the Metallic Stator and Rotor in Clearance Fit. Mathematical Problems in Engineering. 2018. 1–14. 15 indexed citations
15.
Yang, Xin, et al.. (2015). An improved iterative back projection algorithm based on ringing artifacts suppression. Neurocomputing. 162. 171–179. 18 indexed citations
16.
Pu, Yang, et al.. (2014). Improved PID Friction Feed-forward Compensation Control Based on Segment Friction Model. The Open Automation and Control Systems Journal. 6(1). 1620–1628. 1 indexed citations
17.
Yang, Xin, Tianshu Liu, & Dake Zhou. (2014). An adaptive super-resolution method based on regional pixel information and ringing artifacts suppression. Optik. 125(20). 5962–5968. 1 indexed citations
18.
Zhou, Dake & Zhenmin Tang. (2009). Kernel-based improved discriminant analysis and its application to face recognition. Soft Computing. 14(2). 103–111. 10 indexed citations
19.
Zhou, Dake, et al.. (2005). Face recognition using improved-LDA with facial combined feature. Chinese Optics Letters. 3(6). 330–332. 2 indexed citations
20.
Zhou, Dake. (2004). Enhanced Fisher linear discriminant model based face recognition using facial combined feature. Optical Engineering. 43(12). 2829–2829. 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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