Piyush Shakya

691 total citations
28 papers, 497 citations indexed

About

Piyush Shakya is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Piyush Shakya has authored 28 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Control and Systems Engineering, 22 papers in Mechanical Engineering and 7 papers in Mechanics of Materials. Recurrent topics in Piyush Shakya's work include Machine Fault Diagnosis Techniques (20 papers), Gear and Bearing Dynamics Analysis (17 papers) and Fault Detection and Control Systems (8 papers). Piyush Shakya is often cited by papers focused on Machine Fault Diagnosis Techniques (20 papers), Gear and Bearing Dynamics Analysis (17 papers) and Fault Detection and Control Systems (8 papers). Piyush Shakya collaborates with scholars based in India and United States. Piyush Shakya's co-authors include Makarand S. Kulkarni, Ashish K. Darpe, N. Ramesh Babu, A. S. Sekhar, K. Shankar, S. Narayanan, Deepak Ronanki, K. P. Lijesh and Pankaj Kumar and has published in prestigious journals such as Journal of Sound and Vibration, Mechanical Systems and Signal Processing and Measurement Science and Technology.

In The Last Decade

Piyush Shakya

23 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Piyush Shakya India 11 352 323 140 49 47 28 497
M. Saimurugan India 10 347 1.0× 237 0.7× 103 0.7× 30 0.6× 41 0.9× 32 465
D.H. Pandya India 9 361 1.0× 306 0.9× 129 0.9× 40 0.8× 22 0.5× 14 487
J. Kozik Poland 7 479 1.4× 340 1.1× 171 1.2× 66 1.3× 42 0.9× 12 610
Rongjing Hong China 13 258 0.7× 416 1.3× 162 1.2× 47 1.0× 48 1.0× 22 554
Alessandro Paolo Daga Italy 9 402 1.1× 217 0.7× 113 0.8× 124 2.5× 25 0.5× 23 499
James Xi Gu United Kingdom 12 434 1.2× 342 1.1× 157 1.1× 69 1.4× 15 0.3× 21 522
Zhenling Mo China 13 507 1.4× 327 1.0× 166 1.2× 47 1.0× 43 0.9× 26 637
Ruxue Bai China 8 352 1.0× 252 0.8× 139 1.0× 61 1.2× 25 0.5× 14 523
Yunhan Kim South Korea 13 267 0.8× 214 0.7× 65 0.5× 50 1.0× 35 0.7× 15 377
Fengtao Wang China 13 431 1.2× 319 1.0× 151 1.1× 49 1.0× 18 0.4× 23 525

Countries citing papers authored by Piyush Shakya

Since Specialization
Citations

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

Fields of papers citing papers by Piyush Shakya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piyush Shakya

This figure shows the co-authorship network connecting the top 25 collaborators of Piyush Shakya. A scholar is included among the top collaborators of Piyush Shakya 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 Piyush Shakya. Piyush Shakya 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.
Kumar, Pankaj, S. Narayanan, & Piyush Shakya. (2025). Rub-induced nonlinear vibration and discontinuity-induced bifurcation analysis of a noisy rotor-stator system with different compliant contact force models. Mechanical Systems and Signal Processing. 244. 113733–113733.
2.
Kumar, Pankaj, S. Narayanan, & Piyush Shakya. (2025). Nonlinear vibration analysis and defect characterization using entropy measure-based learning algorithm in a defective rolling element bearings. Structural Health Monitoring. 25(2). 1316–1339. 1 indexed citations
3.
Sekhar, A. S., et al.. (2025). Evaluation of contact curve profiles and improved analytical methodology for dynamic mesh stiffness in spiral bevel gears. Mechanism and Machine Theory. 214. 106079–106079. 1 indexed citations
4.
Shakya, Piyush, et al.. (2025). A data fusion-based dynamic prognosis model for bearing RUL prediction using vector auto-regression. Measurement Science and Technology. 36(7). 76005–76005.
5.
6.
Shakya, Piyush, et al.. (2024). Investigation of a Non-linear Suspension System for Electric Multi-axle Military Truck Moving over Cross Country Terrains. Journal of Vibration Engineering & Technologies. 12(S2). 2173–2186. 1 indexed citations
7.
Shakya, Piyush, et al.. (2024). An approach for adaptive filtering with reinforcement learning for multi-sensor fusion in condition monitoring of gearboxes. Computers in Industry. 164. 104214–104214. 1 indexed citations
8.
Shakya, Piyush, et al.. (2024). TFFNet: A robust approach with anti-noise and domain shift adaptation for intelligent fault diagnosis of rotating machinery. Journal of Vibration and Control. 31(5-6). 878–890. 1 indexed citations
9.
Shakya, Piyush, et al.. (2024). Online health monitoring of rotating machine elements using statistical spectral distances. Structural Health Monitoring. 24(6). 3580–3601.
10.
Shakya, Piyush, et al.. (2024). Influence of Geometric Parameters on the Dynamic Performance of Spiral Bevel Gear. Journal of Vibration Engineering & Technologies. 12(8). 9097–9111. 3 indexed citations
11.
Shakya, Piyush, et al.. (2024). Tacho-less spur gear condition monitoring at variable speed operation using the adaptive application of variational mode extraction. Structural Health Monitoring. 24(2). 1201–1223. 3 indexed citations
12.
Shakya, Piyush, et al.. (2023). A spectral kurtosis based blind deconvolution approach for spur gear fault diagnosis. ISA Transactions. 142. 492–500. 33 indexed citations
13.
14.
Shakya, Piyush, et al.. (2023). Variational Mode Decomposition based Vibro-Acoustic Analysis for Spur Gear Fault Detection. NOISE-CON proceedings. 268(6). 2318–2323.
15.
Shakya, Piyush, et al.. (2021). Spur gear crack modelling and analysis under variable speed conditions using variational mode decomposition. Mechanism and Machine Theory. 164. 104357–104357. 40 indexed citations
16.
Shakya, Piyush, et al.. (2021). Bearing fault diagnosis and prognosis using data fusion based feature extraction and feature selection. Measurement. 188. 110506–110506. 139 indexed citations
17.
Shakya, Piyush, et al.. (2020). Early fault detection based on empirical mode decomposition method. Procedia CIRP. 88. 31–35. 11 indexed citations
18.
Shakya, Piyush, Ashish K. Darpe, & Makarand S. Kulkarni. (2015). Bearing damage classification using instantaneous energy density. Journal of Vibration and Control. 23(16). 2578–2618. 11 indexed citations
19.
Shakya, Piyush, Makarand S. Kulkarni, & Ashish K. Darpe. (2014). Bearing diagnosis based on Mahalanobis–Taguchi–Gram–Schmidt method. Journal of Sound and Vibration. 337. 342–362. 48 indexed citations
20.
Shakya, Piyush, Makarand S. Kulkarni, & Ashish K. Darpe. (2014). A novel methodology for online detection of bearing health status for naturally progressing defect. Journal of Sound and Vibration. 333(21). 5614–5629. 56 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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