Dmitrii Kaplun

1.8k total citations
137 papers, 1.0k citations indexed

About

Dmitrii Kaplun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Dmitrii Kaplun has authored 137 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 34 papers in Artificial Intelligence and 16 papers in Information Systems. Recurrent topics in Dmitrii Kaplun's work include Image and Signal Denoising Methods (20 papers), AI in cancer detection (13 papers) and Cryptography and Residue Arithmetic (9 papers). Dmitrii Kaplun is often cited by papers focused on Image and Signal Denoising Methods (20 papers), AI in cancer detection (13 papers) and Cryptography and Residue Arithmetic (9 papers). Dmitrii Kaplun collaborates with scholars based in Russia, India and China. Dmitrii Kaplun's co-authors include Aleksandr Sinitca, Ram Sarkar, Robert B. Reich, Денис Бутусов, Rohit Kundu, Pavel Lyakhov, Shibaprasad Sen, N.I. Chervyakov, Erivelton G. Nepomuceno and Rishav Pramanik and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Psychiatry.

In The Last Decade

Dmitrii Kaplun

120 papers receiving 1000 citations

Peers

Dmitrii Kaplun
Xiaojun Zhai United Kingdom
Wasiq Khan United Kingdom
Lu Bai China
Yiming Liu China
Geoff Nitschke South Africa
Xichuan Zhou China
N. M. Fonseca Ferreira Portugal
Jing Pan China
Qingyi Zhu China
Emily B. Fox United States
Xiaojun Zhai United Kingdom
Dmitrii Kaplun
Citations per year, relative to Dmitrii Kaplun Dmitrii Kaplun (= 1×) peers Xiaojun Zhai

Countries citing papers authored by Dmitrii Kaplun

Since Specialization
Citations

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

Fields of papers citing papers by Dmitrii Kaplun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitrii Kaplun

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitrii Kaplun. A scholar is included among the top collaborators of Dmitrii Kaplun 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 Dmitrii Kaplun. Dmitrii Kaplun 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
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Sinitca, Aleksandr, et al.. (2024). A fuzzy rank-based ensemble of CNN models for MRI segmentation. Biomedical Signal Processing and Control. 102. 107342–107342. 1 indexed citations
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Мошников, В. А., et al.. (2024). Hybrid Impedimetric Biosensors for Express Protein Markers Detection. Micromachines. 15(2). 181–181. 8 indexed citations
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Kaplun, Dmitrii, et al.. (2023). Design of Frequency Sampling Rational Rate Polyphase FIR Converter. IEEE Transactions on Circuits & Systems II Express Briefs. 71(2). 962–966. 1 indexed citations
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Kaplun, Dmitrii, et al.. (2023). Optimized MAC Protocol Using Fuzzy-Based Framework for Cognitive Radio AdHoc Networks. IEEE Access. 11. 27506–27518. 3 indexed citations
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Pramanik, Rishav, et al.. (2023). Monkeypox detection from skin lesion images using an amalgamation of CNN models aided with Beta function-based normalization scheme. PLoS ONE. 18(4). e0281815–e0281815. 48 indexed citations
10.
Kaplun, Dmitrii, Aleksandr Sinitca, Mohammed S. Alqahtani, et al.. (2023). Development of a mobile-based intelligent module for identification and tracking of household appliances. Scientific Reports. 13(1). 16779–16779. 2 indexed citations
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Kaplun, Dmitrii, et al.. (2023). FEATURES CHARACTERISTICS OF THE SPHENOID SINUS DISEASE IN ELDERLY PATIENTS. Успехи геронтологии. 36(5). 683–688.
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Kaplun, Dmitrii, et al.. (2023). AI technologies in the analysis of visual advertising messages: survey and application. Journal of Marketing Analytics. 12(4). 1066–1089. 10 indexed citations
13.
Trizna, Elena Y., Aleksandr Sinitca, Diana R. Baidamshina, et al.. (2023). Brightfield vs Fluorescent Staining Dataset–A Test Bed Image Set for Machine Learning based Virtual Staining. Scientific Data. 10(1). 160–160. 5 indexed citations
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Kaplun, Dmitrii, et al.. (2022). Design of low complexity parallel polyphase finite impulse response filter using coefficient symmetry. IET Circuits Devices & Systems. 17(1). 29–37. 1 indexed citations
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Zimina, Tatiana M., et al.. (2021). Toward Development of a Label-Free Detection Technique for Microfluidic Fluorometric Peptide-Based Biosensor Systems. Micromachines. 12(6). 691–691. 13 indexed citations
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Kundu, Rohit, et al.. (2021). A fuzzy rank-based ensemble of CNN models for classification of cervical cytology. Scientific Reports. 11(1). 14538–14538. 118 indexed citations
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Chervyakov, N.I., et al.. (2018). Area-Efficient FPGA Implementation of Minimalistic Convolutional Neural Network Using Residue Number System. SHILAP Revista de lepidopterología.
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Kaplun, Dmitrii, et al.. (2018). Method of decrease of discrete Fourier transform sidelobes without window functions. 1–4. 2 indexed citations
20.
Sarma, Kandarpa Kumar, et al.. (2016). I-vector Based Emotion Recognition in Assamese Speech. 1(1). 111–124. 5 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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2026