Oleksii K. Tyshchenko

612 total citations
31 papers, 318 citations indexed

About

Oleksii K. Tyshchenko is a scholar working on Artificial Intelligence, Signal Processing and Control and Systems Engineering. According to data from OpenAlex, Oleksii K. Tyshchenko has authored 31 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 6 papers in Signal Processing and 5 papers in Control and Systems Engineering. Recurrent topics in Oleksii K. Tyshchenko's work include Neural Networks and Applications (19 papers), Fuzzy Logic and Control Systems (18 papers) and Advanced Clustering Algorithms Research (7 papers). Oleksii K. Tyshchenko is often cited by papers focused on Neural Networks and Applications (19 papers), Fuzzy Logic and Control Systems (18 papers) and Advanced Clustering Algorithms Research (7 papers). Oleksii K. Tyshchenko collaborates with scholars based in Ukraine, China and Czechia. Oleksii K. Tyshchenko's co-authors include Yevgeniy Bodyanskiy, Zhengbing Hu, Waldemar Wójcik, Petr Hurtík and Volodymyr Lytvynenko and has published in prestigious journals such as Neurocomputing, Applied Soft Computing and Soft Computing.

In The Last Decade

Oleksii K. Tyshchenko

29 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oleksii K. Tyshchenko Ukraine	13	177	64	60	47	47	31	318
Dmytro Peleshko Ukraine	12	115 0.6×	70 1.1×	39 0.7×	125 2.7×	23 0.5×	38	369
Abdullah M. Baqasah Saudi Arabia	11	106 0.6×	80 1.3×	18 0.3×	32 0.7×	35 0.7×	36	360
Anatoly Sachenko Ukraine	9	87 0.5×	48 0.8×	48 0.8×	30 0.6×	28 0.6×	49	256
Victor G. Turrisi da Costa Brazil	11	280 1.6×	47 0.7×	13 0.2×	96 2.0×	95 2.0×	30	427
Arwin Datumaya Wahyudi Sumari Indonesia	8	94 0.5×	32 0.5×	42 0.7×	34 0.7×	9 0.2×	83	260
R. Parvathi India	10	104 0.6×	55 0.9×	9 0.1×	26 0.6×	20 0.4×	48	276
Mohammed Altaf Ahmed Saudi Arabia	10	95 0.5×	46 0.7×	24 0.4×	35 0.7×	27 0.6×	38	309
N. Jayapandian India	11	105 0.6×	132 2.1×	9 0.1×	68 1.4×	17 0.4×	78	371
T. Ravi India	9	122 0.7×	39 0.6×	41 0.7×	46 1.0×	44 0.9×	17	257
Yogita Gigras India	10	94 0.5×	29 0.5×	30 0.5×	76 1.6×	20 0.4×	35	231

Countries citing papers authored by Oleksii K. Tyshchenko

Since Specialization

Citations

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

Fields of papers citing papers by Oleksii K. Tyshchenko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oleksii K. Tyshchenko. 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 Oleksii K. Tyshchenko. The network helps show where Oleksii K. Tyshchenko may publish in the future.

Co-authorship network of co-authors of Oleksii K. Tyshchenko

This figure shows the co-authorship network connecting the top 25 collaborators of Oleksii K. Tyshchenko. A scholar is included among the top collaborators of Oleksii K. Tyshchenko 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 Oleksii K. Tyshchenko. Oleksii K. Tyshchenko 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

Hurtík, Petr & Oleksii K. Tyshchenko. (2020). KLN: A Deep Neural Network Architecture for Keypoint Localization. 12–17. 1 indexed citations

Bodyanskiy, Yevgeniy, et al.. (2019). Self-Learning and Adaptive Algorithms for Business Applications. 3 indexed citations

Hu, Zhengbing, et al.. (2019). Fuzzy Clustering of Incomplete Data by Means of Similarity Measures. 957–960. 4 indexed citations

Hu, Zhengbing & Oleksii K. Tyshchenko. (2018). A Hybrid Neuro-Fuzzy Element: A New Structural Node for Evolving Neuro-Fuzzy Systems. 521. 402–406. 1 indexed citations

Hu, Zhengbing, et al.. (2018). Clustering Matrix Sequences Based on the Iterative Dynamic Time Deformation Procedure. International Journal of Intelligent Systems and Applications. 10(7). 66–73. 6 indexed citations

Hu, Zhengbing, et al.. (2017). A Multidimensional Extended Neo-Fuzzy Neuron for Facial Expression Recognition. International Journal of Intelligent Systems and Applications. 9(9). 29–36. 29 indexed citations

Hu, Zhengbing, et al.. (2017). Possibilistic Fuzzy Clustering for Categorical Data Arrays Based on Frequency Prototypes and Dissimilarity Measures. International Journal of Intelligent Systems and Applications. 9(5). 55–61. 11 indexed citations

Hu, Zhengbing, et al.. (2017). Fuzzy Clustering Data Arrays with Omitted Observations. International Journal of Intelligent Systems and Applications. 9(6). 24–32. 16 indexed citations

Hu, Zhengbing, et al.. (2017). Video Shots‘ Matching via Various Length of Multidimensional Time Sequences. International Journal of Intelligent Systems and Applications. 9(11). 10–16. 11 indexed citations

10.

Hu, Zhengbing, Yevgeniy Bodyanskiy, & Oleksii K. Tyshchenko. (2017). A hybrid growing ENFN-based neuro-fuzzy system and its rapid deep learning. 4. 514–519. 4 indexed citations

11.

Hu, Zhengbing, Yevgeniy Bodyanskiy, & Oleksii K. Tyshchenko. (2017). A deep cascade neural network based on extended neo-fuzzy neurons and its adaptive learning algorithm. 2. 801–805. 12 indexed citations

12.

Bodyanskiy, Yevgeniy, et al.. (2017). An evolving connectionist system for data stream fuzzy clustering and its online learning. Neurocomputing. 262. 41–56. 18 indexed citations

13.

Bodyanskiy, Yevgeniy, et al.. (2016). AN EVOLVING CASCADE SYSTEM BASED ON NEURO-FUZZY NODES. Radio Electronics Computer Science Control. 0(2). 3 indexed citations

14.

Hu, Zhengbing, et al.. (2016). Adaptive Forecasting of Non-Stationary Nonlinear Time Series Based on the Evolving Weighted Neuro-Neo-Fuzzy-ANARX-Model. International Journal of Information Technology and Computer Science. 8(10). 1–10. 3 indexed citations

15.

Tyshchenko, Oleksii K.. (2016). A reservoir radial-basis function neural network in prediction tasks. Automatic Control and Computer Sciences. 50(2). 65–71. 4 indexed citations

16.

Hu, Zhengbing, Yevgeniy Bodyanskiy, & Oleksii K. Tyshchenko. (2016). A deep cascade neuro-fuzzy system for high-dimensional online fuzzy clustering. 18. 318–322. 13 indexed citations

17.

Hu, Zhengbing, et al.. (2016). An Evolving Cascade System Based on a Set of Neo - Fuzzy Nodes. International Journal of Intelligent Systems and Applications. 8(9). 1–7. 16 indexed citations

18.

Hu, Zhengbing, et al.. (2016). An Ensemble of Adaptive Neuro-Fuzzy Kohonen Networks for Online Data Stream Fuzzy Clustering. International Journal of Modern Education and Computer Science. 8(5). 12–18. 6 indexed citations

19.

Bodyanskiy, Yevgeniy, et al.. (2015). An Evolving Neuro-Fuzzy System with Online Learning/Self-learning. International Journal of Modern Education and Computer Science. 7(2). 1–7. 3 indexed citations

20.

Bodyanskiy, Yevgeniy, Oleksii K. Tyshchenko, & Waldemar Wójcik. (2013). Multivariate non-stationary time series predictor based on an adaptive neuro-fuzzy approach. Elektronika : konstrukcje, technologie, zastosowania. 54. 10–13. 4 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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