Alexander E. Prosvirin

921 total citations · 1 hit paper
21 papers, 673 citations indexed

About

Alexander E. Prosvirin is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Alexander E. Prosvirin has authored 21 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Control and Systems Engineering, 12 papers in Mechanical Engineering and 10 papers in Mechanics of Materials. Recurrent topics in Alexander E. Prosvirin's work include Machine Fault Diagnosis Techniques (16 papers), Engineering Diagnostics and Reliability (9 papers) and Gear and Bearing Dynamics Analysis (9 papers). Alexander E. Prosvirin is often cited by papers focused on Machine Fault Diagnosis Techniques (16 papers), Engineering Diagnostics and Reliability (9 papers) and Gear and Bearing Dynamics Analysis (9 papers). Alexander E. Prosvirin collaborates with scholars based in South Korea, Russia and Mexico. Alexander E. Prosvirin's co-authors include Jong-Myon Kim, Rafia Nishat Toma, M. M. Manjurul Islam, Farzin Piltan, Zahoor Ahmad, Cheol Hong Kim, Jae‐Young Kim, Kichang Im, Sheraz Ali Khan and Belem Saldivar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Alexander E. Prosvirin

21 papers receiving 648 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers

2020 204 citations Rafia Nishat Toma, Alexander E. Prosvirin et al. Sensors profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander E. Prosvirin South Korea	15	514	338	183	68	53	21	673
Djamel Benazzouz Algeria	17	495 1.0×	374 1.1×	191 1.0×	51 0.8×	54 1.0×	78	756
Joon Ha Jung South Korea	13	498 1.0×	301 0.9×	171 0.9×	98 1.4×	38 0.7×	25	657
Mohd Syahril Ramadhan Mohd Saufi Malaysia	8	455 0.9×	267 0.8×	128 0.7×	87 1.3×	34 0.6×	22	584
Maogui Niu China	7	699 1.4×	423 1.3×	250 1.4×	103 1.5×	37 0.7×	8	803
Qiuhua Miao China	8	367 0.7×	259 0.8×	132 0.7×	78 1.1×	44 0.8×	19	577
Gaoliang Peng China	7	632 1.2×	411 1.2×	201 1.1×	83 1.2×	32 0.6×	7	792
Aisong Qin China	14	553 1.1×	279 0.8×	200 1.1×	127 1.9×	35 0.7×	30	713
Wei-Li Qin China	6	590 1.1×	322 1.0×	188 1.0×	105 1.5×	43 0.8×	8	742
Myeongsu Kang United States	10	527 1.0×	302 0.9×	156 0.9×	50 0.7×	26 0.5×	16	673
Zhenhui Zhan China	11	449 0.9×	272 0.8×	126 0.7×	85 1.3×	27 0.5×	14	566

Countries citing papers authored by Alexander E. Prosvirin

Since Specialization

Citations

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

Fields of papers citing papers by Alexander E. Prosvirin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander E. Prosvirin. 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 Alexander E. Prosvirin. The network helps show where Alexander E. Prosvirin may publish in the future.

Co-authorship network of co-authors of Alexander E. Prosvirin

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander E. Prosvirin. A scholar is included among the top collaborators of Alexander E. Prosvirin 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 Alexander E. Prosvirin. Alexander E. Prosvirin 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

Podder, Prajoy, M. Rubaiyat Hossain Mondal, Somasundar Kannan, et al.. (2023). Enhancing Brain Tumor Classification with Transfer Learning across Multiple Classes: An In-Depth Analysis. SHILAP Revista de lepidopterología. 3(4). 1124–1144. 42 indexed citations

Prosvirin, Alexander E., et al.. (2022). Intelligent rubbing fault identification using multivariate signals and a multivariate one-dimensional convolutional neural network. Expert Systems with Applications. 198. 116868–116868. 17 indexed citations

Islam, M. M. Manjurul, Alexander E. Prosvirin, & Jong-Myon Kim. (2021). Data-driven prognostic scheme for rolling-element bearings using a new health index and variants of least-square support vector machines. Mechanical Systems and Signal Processing. 160. 107853–107853. 75 indexed citations

Prosvirin, Alexander E., Zahoor Ahmad, & Jong-Myon Kim. (2021). Global and Local Feature Extraction Using a Convolutional Autoencoder and Neural Networks for Diagnosing Centrifugal Pump Mechanical Faults. IEEE Access. 9. 65838–65854. 24 indexed citations

Prosvirin, Alexander E., et al.. (2021). Novel Bearing Fault Diagnosis Using Gaussian Mixture Model-Based Fault Band Selection. Sensors. 21(19). 6579–6579. 33 indexed citations

Prosvirin, Alexander E., et al.. (2020). Construction of a Sensitive and Speed Invariant Gearbox Fault Diagnosis Model Using an Incorporated Utilizing Adaptive Noise Control and a Stacked Sparse Autoencoder-Based Deep Neural Network. Sensors. 21(1). 18–18. 20 indexed citations

Prosvirin, Alexander E., et al.. (2020). Effect of Morphogenetic Protein BMP-2 on X-Ray Density of Bone Defect in the Experiment. Bulletin of Experimental Biology and Medicine. 168(4). 574–577. 4 indexed citations

Ahmad, Zahoor, Alexander E. Prosvirin, Jae‐Young Kim, & Jong-Myon Kim. (2020). Multistage Centrifugal Pump Fault Diagnosis by Selecting Fault Characteristic Modes of Vibration and Using Pearson Linear Discriminant Analysis. IEEE Access. 8. 223030–223040. 16 indexed citations

Piltan, Farzin, Alexander E. Prosvirin, Muhammad Sohaib, Belem Saldivar, & Jong-Myon Kim. (2020). An SVM-Based Neural Adaptive Variable Structure Observer for Fault Diagnosis and Fault-Tolerant Control of a Robot Manipulator. Applied Sciences. 10(4). 1344–1344. 23 indexed citations

10.

Toma, Rafia Nishat, Alexander E. Prosvirin, & Jong-Myon Kim. (2020). Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers. Sensors. 20(7). 1884–1884. 204 indexed citations breakdown →

11.

Prosvirin, Alexander E., Farzin Piltan, & Jong-Myon Kim. (2020). Hybrid Rubbing Fault Identification Using a Deep Learning-Based Observation Technique. IEEE Transactions on Neural Networks and Learning Systems. 32(11). 5144–5155. 14 indexed citations

12.

Prosvirin, Alexander E., et al.. (2020). A Reliable Fault Diagnosis Method for a Gearbox System with Varying Rotational Speeds. Sensors. 20(11). 3105–3105. 15 indexed citations

13.

Piltan, Farzin, Alexander E. Prosvirin, & Jong-Myon Kim. (2020). Robot manipulator active fault-tolerant control using a machine learning-based automated robust hybrid observer. Journal of Intelligent & Fuzzy Systems. 39(5). 6443–6463. 2 indexed citations

14.

Prosvirin, Alexander E., Farzin Piltan, & Jong-Myon Kim. (2020). Blade Rub-Impact Fault Identification Using Autoencoder-Based Nonlinear Function Approximation and a Deep Neural Network. Sensors. 20(21). 6265–6265. 7 indexed citations

15.

Prosvirin, Alexander E., M. M. Manjurul Islam, & Jong-Myon Kim. (2019). An Improved Algorithm for Selecting IMF Components in Ensemble Empirical Mode Decomposition for Domain of Rub-Impact Fault Diagnosis. IEEE Access. 7. 121728–121741. 18 indexed citations

16.

Piltan, Farzin, et al.. (2019). Rolling-Element Bearing Fault Diagnosis Using Advanced Machine Learning-Based Observer. Applied Sciences. 9(24). 5404–5404. 39 indexed citations

17.

Prosvirin, Alexander E., et al.. (2018). Reliable fault diagnosis of bearings with varying rotational speeds using envelope spectrum and convolution neural networks. Soft Computing. 22(20). 6719–6729. 75 indexed citations

18.

Prosvirin, Alexander E., M. M. Manjurul Islam, Jae‐Young Kim, & Jong-Myon Kim. (2018). Rub-Impact Fault Diagnosis Using an Effective IMF Selection Technique in Ensemble Empirical Mode Decomposition and Hybrid Feature Models. Sensors. 18(7). 2040–2040. 22 indexed citations

19.

Khan, Sheraz Ali, Alexander E. Prosvirin, & Jong-Myon Kim. (2018). Towards bearing health prognosis using generative adversarial networks: Modeling bearing degradation. 1–6. 17 indexed citations

20.

Olkhov, A. A., et al.. (2017). Implants for Reconstructive Surgery Based on Electrospun Poly(3-hydroxybutyrate) Fibers. Fibre Chemistry. 49(3). 222–226. 3 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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