Pradeep Kundu

1.2k total citations · 1 hit paper
38 papers, 868 citations indexed

About

Pradeep Kundu is a scholar working on Mechanical Engineering, Control and Systems Engineering and Mechanics of Materials. According to data from OpenAlex, Pradeep Kundu has authored 38 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Mechanical Engineering, 20 papers in Control and Systems Engineering and 10 papers in Mechanics of Materials. Recurrent topics in Pradeep Kundu's work include Machine Fault Diagnosis Techniques (19 papers), Gear and Bearing Dynamics Analysis (14 papers) and Engineering Diagnostics and Reliability (8 papers). Pradeep Kundu is often cited by papers focused on Machine Fault Diagnosis Techniques (19 papers), Gear and Bearing Dynamics Analysis (14 papers) and Engineering Diagnostics and Reliability (8 papers). Pradeep Kundu collaborates with scholars based in India, United States and Belgium. Pradeep Kundu's co-authors include Ashish K. Darpe, Makarand S. Kulkarni, Jay Lee, Govind Vashishtha, Anil Kumar, Hesheng Tang, Jiawei Xiang, Bhupesh Kumar Lad, Adam Głowacz and Rajendra Kumar Shukla and has published in prestigious journals such as Expert Systems with Applications, Mechanical Systems and Signal Processing and Reliability Engineering & System Safety.

In The Last Decade

Pradeep Kundu

38 papers receiving 840 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.

An adaptive feature mode decomposition based on a novel health indicator for bearing fault diagnosis

2024 58 citations Sumika Chauhan, Govind Vashishtha et al. Measurement profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pradeep Kundu India	15	499	429	193	126	92	38	868
Yuanhang Wang China	17	717 1.4×	464 1.1×	229 1.2×	105 0.8×	171 1.9×	49	1.1k
Djamel Benazzouz Algeria	17	495 1.0×	374 0.9×	191 1.0×	45 0.4×	46 0.5×	78	756
Zexian Wei China	11	610 1.2×	397 0.9×	209 1.1×	58 0.5×	61 0.7×	24	844
Chuanhai Chen China	16	309 0.6×	354 0.8×	172 0.9×	103 0.8×	174 1.9×	93	843
Changchang Che China	14	509 1.0×	287 0.7×	193 1.0×	49 0.4×	76 0.8×	30	739
Zhiwen Liu China	18	610 1.2×	461 1.1×	164 0.8×	55 0.4×	85 0.9×	45	965
Sheng Guo China	8	506 1.0×	265 0.6×	174 0.9×	42 0.3×	158 1.7×	24	691
Yuanhong Chang China	14	659 1.3×	323 0.8×	146 0.8×	60 0.5×	152 1.7×	21	940
Xiaolong Liu China	9	215 0.4×	222 0.5×	106 0.5×	274 2.2×	65 0.7×	42	782
Jiacheng Xie China	19	232 0.5×	217 0.5×	65 0.3×	158 1.3×	63 0.7×	107	887

Countries citing papers authored by Pradeep Kundu

Since Specialization

Citations

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

Fields of papers citing papers by Pradeep Kundu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradeep Kundu

This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep Kundu. A scholar is included among the top collaborators of Pradeep Kundu 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 Pradeep Kundu. Pradeep Kundu 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

Kumar, Anil, et al.. (2025). Enhanced deep learning framework for accurate near-failure RUL prediction of bearings in varying operating conditions. Advanced Engineering Informatics. 65. 103231–103231. 7 indexed citations

Yang, Xin, Sergio Cantero‐Chinchilla, Fang Chen, et al.. (2025). Damage imaging in structural health monitoring with fine-tuned conditional diffusion model. Mechanical Systems and Signal Processing. 236. 112996–112996. 1 indexed citations

Yang, Xin, et al.. (2024). A decision-level sensor fusion scheme integrating ultrasonic guided wave and vibration measurements for damage identification. Mechanical Systems and Signal Processing. 219. 111597–111597. 11 indexed citations

Yang, Xin, Amin Farrokhabadi, Yongcheng Liu, et al.. (2024). Transfer learning-based Gaussian process classification for lattice structure damage detection. Measurement. 238. 115387–115387. 4 indexed citations

Kundu, Pradeep, Ashish K. Darpe, & Makarand S. Kulkarni. (2024). Development of data-driven, physics-based, and hybrid prognosis frameworks: a case study for gear remaining useful life prediction. Journal of Intelligent Manufacturing. 36(7). 4823–4843. 2 indexed citations

Kumar, Anil, Yuqing Zhou, Pradeep Kundu, et al.. (2024). Entropy-based domain adaption strategy for predicting remaining useful life of rolling element bearing. Engineering Applications of Artificial Intelligence. 133. 108575–108575. 5 indexed citations

Kundu, Pradeep. (2024). Review of rotating machinery elements condition monitoring using acoustic emission signal. Expert Systems with Applications. 252. 124169–124169. 27 indexed citations

Kundu, Pradeep, et al.. (2023). Detection of inception of preload loss and remaining life prediction for ball screw considering change in dynamics due to worktable position. Mechanical Systems and Signal Processing. 189. 110075–110075. 15 indexed citations

Kundu, Pradeep, et al.. (2023). Novel Ensemble Domain Adaptation Methodology for Enhanced Multi-class Fault Diagnosis of Highly-Connected Fleet of Assets. 4(1). 1 indexed citations

10.

Zhou, Yuqing, Anil Kumar, Govind Vashishtha, et al.. (2023). Discrete entropy-based health indicator and LSTM for the forecasting of bearing health. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 45(2). 10 indexed citations

11.

Han, Te, Ruonan Liu, Zhibin Zhao, & Pradeep Kundu. (2023). Fault Diagnosis and Health Management of Power Machinery. Machines. 11(4). 424–424. 4 indexed citations

12.

Kundu, Pradeep, et al.. (2023). A novel technique for multiple failure modes classification based on deep forest algorithm. Journal of Intelligent Manufacturing. 35(7). 3115–3129. 5 indexed citations

13.

Lee, Jay, et al.. (2023). Cyber-Physical Systems Framework for Predictive Metrology in Semiconductor Manufacturing Process. 1(1). 107–113. 14 indexed citations

14.

Kundu, Pradeep, Xichun Luo, & Yi Qin. (2022). A Computationally Efficient Machine Learning Strategy for Automatic Identification of Process and Product Fingerprints for Smart Manufacturing Systems. 1–5. 1 indexed citations

15.

Kundu, Pradeep, Ashish K. Darpe, Makarand S. Kulkarni, & Ming J. Zuo. (2022). Online damage severity level classification in gears under natural damage progression. The International Journal of Advanced Manufacturing Technology. 124(1-2). 1–20. 5 indexed citations

16.

Sharma, Vikas & Pradeep Kundu. (2022). Minimization of the vestigial noise problem of empirical wavelet transform to detect bearing faults under time-varying speeds. The International Journal of Advanced Manufacturing Technology. 123(7-8). 2623–2641. 2 indexed citations

17.

Kumar, Anil, Govind Vashishtha, Pradeep Kundu, et al.. (2021). VMD based trigonometric entropy measure: a simple and effective tool for dynamic degradation monitoring of rolling element bearing. Measurement Science and Technology. 33(1). 14005–14005. 94 indexed citations

18.

Kundu, Pradeep, Xichun Luo, Yi Qin, Yukui Cai, & Zhanqiang Liu. (2021). A machine learning-based framework for automatic identification of process and product fingerprints for smart manufacturing systems. Journal of Manufacturing Processes. 73. 128–138. 15 indexed citations

19.

Kundu, Pradeep, et al.. (2018). A Review on Condition Monitoring Technologies for Railway Rolling Stock. PHM Society European Conference. 4(1). 9 indexed citations

20.

Kundu, Pradeep, et al.. (2015). Development of a Risk Based Maintenance Strategy to Optimize Forecast of a Gas Turbine Failures. International Journal of Performability Engineering. 11(5). 407. 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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