Viacheslav Voronin

1.2k total citations
171 papers, 762 citations indexed

About

Viacheslav Voronin is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Viacheslav Voronin has authored 171 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Computer Vision and Pattern Recognition, 29 papers in Media Technology and 27 papers in Industrial and Manufacturing Engineering. Recurrent topics in Viacheslav Voronin's work include Advanced Image Processing Techniques (30 papers), Image and Signal Denoising Methods (26 papers) and Advanced Image Fusion Techniques (20 papers). Viacheslav Voronin is often cited by papers focused on Advanced Image Processing Techniques (30 papers), Image and Signal Denoising Methods (26 papers) and Advanced Image Fusion Techniques (20 papers). Viacheslav Voronin collaborates with scholars based in Russia, United States and China. Viacheslav Voronin's co-authors include Evgeny A. Semenishchev, Yigang Cen, Sos С. Agaian, Aleksandra Pižurica, Yi Jin, Karen Egiazarian, Shaohua Wan, Yidong Li, Bruno Cornelis and Linna Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Pattern Recognition.

In The Last Decade

Viacheslav Voronin

131 papers receiving 732 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Viacheslav Voronin Russia 13 423 151 118 97 83 171 762
Lijun Ding China 5 273 0.6× 69 0.5× 83 0.7× 59 0.6× 62 0.7× 9 526
Xinghui Dong China 15 284 0.7× 129 0.9× 43 0.4× 143 1.5× 91 1.1× 63 728
Ju Jia Zou Australia 15 375 0.9× 115 0.8× 48 0.4× 205 2.1× 90 1.1× 52 693
Zhijiang Zhang China 9 510 1.2× 87 0.6× 86 0.7× 43 0.4× 238 2.9× 24 721
Xudong Li China 16 684 1.6× 40 0.3× 126 1.1× 164 1.7× 199 2.4× 68 831
Xiren Miao China 16 337 0.8× 91 0.6× 85 0.7× 215 2.2× 57 0.7× 65 827
Yanhu Shan China 10 438 1.0× 60 0.4× 96 0.8× 20 0.2× 108 1.3× 23 645

Countries citing papers authored by Viacheslav Voronin

Since Specialization
Citations

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

Fields of papers citing papers by Viacheslav Voronin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viacheslav Voronin

This figure shows the co-authorship network connecting the top 25 collaborators of Viacheslav Voronin. A scholar is included among the top collaborators of Viacheslav Voronin 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 Viacheslav Voronin. Viacheslav Voronin 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.
Voronin, Viacheslav, et al.. (2025). Medical image segmentation via shape-dependent anisotropic gradient. 29–29.
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Voronin, Viacheslav, et al.. (2023). Image haze removal using block-based multiscale enhancement method. 34–34.
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Voronin, Viacheslav, et al.. (2023). Image inpainting with deep adaptive generative models for multimedia computing. 12524. 67–67. 1 indexed citations
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Voronin, Viacheslav, et al.. (2022). Challenge of the performance management of trust control systems with deep learning. SHILAP Revista de lepidopterología. 22(1). 57–66. 2 indexed citations
10.
Voronin, Viacheslav, et al.. (2022). Virtual Interface Technology in the Process of Simulation of Complex Functional Modules of Control Systems for Industrial Robots and Multi-Axis Mechatronic Systems. Proceedings of Southwest State University. 26(1). 92–115. 1 indexed citations
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Voronin, Viacheslav, et al.. (2022). IMPROVEMENT OF SEPARATOR DESIGN FOR INTERMEDIATE SEPARATION OF CRUSHED GRAIN IN COMPOUND FEED PRODUCTION. Vestnik Altajskogo gosudarstvennogo agrarnogo universiteta. 113–120.
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Semenishchev, Evgeny A., et al.. (2021). Algorithm for fusing data obtained by thermal, 3D, and the visible range cameras. 12–12. 4 indexed citations
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Voronin, Viacheslav, et al.. (2020). 3-D Block-Rooting Scheme With Application to Medical Image Enhancement. IEEE Access. 9. 3880–3893. 8 indexed citations
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Voronin, Viacheslav, et al.. (2020). Image enhancement in a quaternion framework for remote sensing applications. 11. 21–21. 5 indexed citations
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Cornelis, Bruno, et al.. (2018). A deep learning approach to crack detection in panel paintings. Ghent University Academic Bibliography (Ghent University). 40–42. 10 indexed citations
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Kan, Shichao, Yigang Cen, Yigang Cen, et al.. (2017). SURF binarization and fast codebook construction for image retrieval. Journal of Visual Communication and Image Representation. 49. 104–114. 16 indexed citations
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Kuzin, A., et al.. (2016). Contour detection based on wavelet differentiation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9869. 98690Q–98690Q. 1 indexed citations
20.
Voronin, Viacheslav, et al.. (2014). Image extrapolation for photo stitching using nonlocal patch-based inpainting. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9120. 91200W–91200W.

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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