Deyang Liu

898 total citations
58 papers, 537 citations indexed

About

Deyang Liu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Deyang Liu has authored 58 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 11 papers in Signal Processing and 10 papers in Media Technology. Recurrent topics in Deyang Liu's work include Advanced Vision and Imaging (27 papers), Advanced Image Processing Techniques (23 papers) and Image Enhancement Techniques (13 papers). Deyang Liu is often cited by papers focused on Advanced Vision and Imaging (27 papers), Advanced Image Processing Techniques (23 papers) and Image Enhancement Techniques (13 papers). Deyang Liu collaborates with scholars based in China, Australia and Singapore. Deyang Liu's co-authors include Ping An, Xinpeng Huang, Ran Ma, Chao Yang, Liquan Shen, Qiang Wu, Yan Huang, Xin Zheng, Xihui Chen and Ali Abdullah Yahya and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Image Processing and Optics Express.

In The Last Decade

Deyang Liu

49 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deyang Liu China	14	383	109	76	62	37	58	537
Zhile Ren United States	12	495 1.3×	53 0.5×	46 0.6×	29 0.5×	25 0.7×	20	681
Jeongho Shin South Korea	10	248 0.6×	80 0.7×	80 1.1×	37 0.6×	23 0.6×	28	364
Robert P. Loce United States	11	298 0.8×	93 0.9×	37 0.5×	32 0.5×	13 0.4×	49	479
Huan Zhou China	12	125 0.3×	43 0.4×	75 1.0×	84 1.4×	19 0.5×	42	366
S. Ghosal India	16	291 0.8×	62 0.6×	14 0.2×	124 2.0×	27 0.7×	47	595
Dong Liang China	15	462 1.2×	77 0.7×	23 0.3×	26 0.4×	15 0.4×	85	697
Henning Zimmer Switzerland	13	1.1k 2.8×	268 2.5×	66 0.9×	21 0.3×	12 0.3×	16	1.2k
Huaixin Chen China	12	365 1.0×	154 1.4×	12 0.2×	46 0.7×	17 0.5×	65	567
Guido M. Cortelazzo Italy	13	396 1.0×	37 0.3×	48 0.6×	18 0.3×	35 0.9×	39	576

Countries citing papers authored by Deyang Liu

Since Specialization

Citations

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

Fields of papers citing papers by Deyang Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deyang Liu

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

All Works

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20 of 20 papers shown

Qi, Peng, et al.. (2025). Simulation and experimental study of a continuous gradient TiB2/AlSi10Mg alloy fabricated by laser powder bed fusion. Optical Materials. 160. 116690–116690. 2 indexed citations

Xiao, Zeyu, et al.. (2025). Deep Sparse-to-Dense Inbetweening for Multi-View Light Fields. IEEE Transactions on Image Processing. 34. 6302–6317. 2 indexed citations

Liu, Deyang, et al.. (2025). Learning Implicit and Detail-Enhanced Network for Light Field Image Spatial-Angular Super-Resolution. IEEE Transactions on Circuits and Systems for Video Technology. 36(2). 1544–1557.

Zheng, Xin, et al.. (2025). Multiscale deformed attention networks for white blood cell detection. Scientific Reports. 15(1). 14591–14591.

Liu, Deyang, Peng Qi, Zhichao Dong, & Lijuan Zhang. (2024). Laser powder bed fusion of compositionally graded Invar36/Ni22Cr3. Optics & Laser Technology. 181. 111789–111789. 3 indexed citations

Ma, Jian, et al.. (2024). Blind light field image quality measurement via four-stream convolutional neural network. Displays. 87. 102901–102901.

Liu, Deyang, et al.. (2024). Saliency-Guided No-Reference Omnidirectional Image Quality Assessment via Scene Content Perceiving. IEEE Transactions on Instrumentation and Measurement. 73. 1–15. 3 indexed citations

Liu, Deyang, et al.. (2024). Light Field Angular Super-Resolution Network Based on Convolutional Transformer and Deep Deblurring. IEEE Transactions on Computational Imaging. 10. 1736–1748. 9 indexed citations

Zheng, Xin, et al.. (2024). Spatial Attention-Guided Light Field Salient Object Detection Network With Implicit Neural Representation. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 12437–12449. 7 indexed citations

10.

Liu, Deyang, et al.. (2023). Geometry-assisted multi-representation view reconstruction network for Light Field image angular super-resolution. Knowledge-Based Systems. 267. 110390–110390. 10 indexed citations

11.

Liu, Deyang, et al.. (2023). Optical flow-assisted multi-level fusion network for Light Field image angular reconstruction. Signal Processing Image Communication. 119. 117031–117031.

12.

Liu, Deyang, Wenjing Sun, Yi Kong, & Shuyun Zhang. (2023). Effect of Dry and Wet Cycles on the Strength Characteristics of Biochar–Clay Mixture. Processes. 11(3). 970–970. 8 indexed citations

13.

Huang, Xinpeng, Ping An, Yilei Chen, & Deyang Liu. (2022). Energy-driven reference selection for hierarchical light field compression. Signal Processing Image Communication. 109. 116849–116849. 1 indexed citations

14.

Liu, Deyang, Yan Huang, Yuming Fang, Yifan Zuo, & Ping An. (2022). Multi-Stream Dense View Reconstruction Network for Light Field Image Compression. IEEE Transactions on Multimedia. 25. 4400–4414. 18 indexed citations

15.

Liu, Deyang, Qiang Wu, Yan Huang, Xinpeng Huang, & Ping An. (2021). Learning from EPI-Volume-Stack for Light Field image angular super-resolution. Signal Processing Image Communication. 97. 116353–116353. 11 indexed citations

16.

An, Ping, et al.. (2020). Full Reference Light Field Image Quality Evaluation Based on Angular-Spatial Characteristic. IEEE Signal Processing Letters. 27. 525–529. 33 indexed citations

17.

Huang, Xinpeng, Ping An, Yilei Chen, Deyang Liu, & Liquan Shen. (2020). Low Bitrate Light Field Compression With Geometry and Content Consistency. IEEE Transactions on Multimedia. 24. 152–165. 23 indexed citations

18.

Chen, Yilei, Ping An, Xinpeng Huang, et al.. (2020). Light Field Compression Using Global Multiplane Representation and Two-Step Prediction. IEEE Signal Processing Letters. 27. 1135–1139. 17 indexed citations

19.

Liu, Deyang, Yan Huang, Qiang Wu, Ran Ma, & Ping An. (2020). Multi-Angular Epipolar Geometry Based Light Field Angular Reconstruction Network. IEEE Transactions on Computational Imaging. 6. 1507–1522. 35 indexed citations

20.

Liu, Deyang, et al.. (2019). Content-Based Light Field Image Compression Method With Gaussian Process Regression. IEEE Transactions on Multimedia. 22(4). 846–859. 54 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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