Prashant Kumar

935 total citations
35 papers, 630 citations indexed

About

Prashant Kumar is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Prashant Kumar has authored 35 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Control and Systems Engineering, 12 papers in Mechanical Engineering and 7 papers in Mechanics of Materials. Recurrent topics in Prashant Kumar's work include Machine Fault Diagnosis Techniques (19 papers), Fault Detection and Control Systems (13 papers) and Gear and Bearing Dynamics Analysis (6 papers). Prashant Kumar is often cited by papers focused on Machine Fault Diagnosis Techniques (19 papers), Fault Detection and Control Systems (13 papers) and Gear and Bearing Dynamics Analysis (6 papers). Prashant Kumar collaborates with scholars based in South Korea, India and United States. Prashant Kumar's co-authors include Ananda Shankar Hati, Heung Soo Kim, Izaz Raouf, P Kumar, Muhammad Muzammil Azad, Javaregowda Nagaraju, Sunil Archak, Eshwar Meduri, Salman Khalid and Prąsun Chakrabarti and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Applied Energy.

In The Last Decade

Prashant Kumar

29 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prashant Kumar South Korea 16 405 210 133 77 77 35 630
Yaoxiang Yu China 18 491 1.2× 406 1.9× 186 1.4× 107 1.4× 89 1.2× 56 874
Dongfang Zhao China 12 347 0.9× 205 1.0× 120 0.9× 47 0.6× 36 0.5× 28 471
Alexander E. Prosvirin South Korea 15 514 1.3× 338 1.6× 183 1.4× 45 0.6× 52 0.7× 21 673
Jialin Li China 12 490 1.2× 272 1.3× 192 1.4× 78 1.0× 60 0.8× 30 675
Mani Entezami United Kingdom 15 476 1.2× 399 1.9× 148 1.1× 79 1.0× 69 0.9× 35 755
Li Pin China 7 640 1.6× 474 2.3× 240 1.8× 72 0.9× 78 1.0× 23 875
Zuqiang Su China 14 458 1.1× 313 1.5× 141 1.1× 43 0.6× 46 0.6× 39 670
Xingkai Yang Canada 12 700 1.7× 466 2.2× 203 1.5× 68 0.9× 54 0.7× 26 938
You Keshun China 13 337 0.8× 215 1.0× 120 0.9× 52 0.7× 30 0.4× 21 588
Yuncheng Zhang China 10 544 1.3× 259 1.2× 203 1.5× 158 2.1× 31 0.4× 21 748

Countries citing papers authored by Prashant Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Prashant Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashant Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Prashant Kumar. A scholar is included among the top collaborators of Prashant Kumar 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 Prashant Kumar. Prashant Kumar 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, Prashant. (2025). Transfer Learning for Induction Motor Health Monitoring: A Brief Review. Energies. 18(14). 3823–3823. 2 indexed citations
2.
Kumar, P, Byungun Yoon, Ananda Shankar Hati, Prashant Kumar, & Prąsun Chakrabarti. (2025). Prediction of energy consumption and airflow of a ventilation system: A SAGA-optimised back-propagation neural network-based approach. Expert Systems with Applications. 297. 129293–129293. 1 indexed citations
3.
Song, Jinwoo, Prashant Kumar, Izaz Raouf, & Heung Soo Kim. (2025). Advancements and challenges in anti-reflective coatings: A comprehensive review. Journal of Materials Research and Technology. 39. 2926–2938.
4.
5.
Kumar, Prashant, et al.. (2025). A Systematic Review of Prognostics and Health Management in Mobility Batteries. International Journal of Precision Engineering and Manufacturing-Green Technology. 13(1). 257–280.
6.
Kumar, Prashant, Izaz Raouf, & Heung Soo Kim. (2024). Transfer learning for servomotor bearing fault detection in the industrial robot. Advances in Engineering Software. 194. 103672–103672. 18 indexed citations
7.
Kumar, Prashant, Izaz Raouf, Jinwoo Song, P Kumar, & Heung Soo Kim. (2024). Multi-size wide kernel convolutional neural network for bearing fault diagnosis. Advances in Engineering Software. 198. 103799–103799. 17 indexed citations
8.
Azad, Muhammad Muzammil, Prashant Kumar, & Heung Soo Kim. (2024). Delamination detection in CFRP laminates using deep transfer learning with limited experimental data. Journal of Materials Research and Technology. 29. 3024–3035. 36 indexed citations
9.
Azad, Muhammad Muzammil, et al.. (2024). Failure modes and non-destructive testing techniques for fiber-reinforced polymer composites. Journal of Materials Research and Technology. 33. 9519–9537. 9 indexed citations
10.
Raouf, Izaz, et al.. (2024). Advances in Prognostics and Health Management for Aircraft Landing Gear—Progress, Challenges, and Future Possibilities. International Journal of Precision Engineering and Manufacturing-Green Technology. 12(1). 301–320. 14 indexed citations
11.
Hati, Ananda Shankar, et al.. (2024). Residual LSTM-based short duration forecasting of polarization current for effective assessment of transformers insulation. Scientific Reports. 14(1). 1369–1369. 8 indexed citations
12.
Raouf, Izaz, et al.. (2023). Transfer Learning-Based Intelligent Fault Detection Approach for the Industrial Robotic System. Mathematics. 11(4). 945–945. 22 indexed citations
13.
Kumar, Prashant, Izaz Raouf, & Heung Soo Kim. (2023). Review on prognostics and health management in smart factory: From conventional to deep learning perspectives. Engineering Applications of Artificial Intelligence. 126. 107126–107126. 17 indexed citations
14.
Kumar, Prashant, Ananda Shankar Hati, & P Kumar. (2023). A transfer learning‐based deep convolutional neural network approach for induction machine multiple faults detection. International Journal of Adaptive Control and Signal Processing. 37(9). 2380–2393. 4 indexed citations
15.
Kumar, P, Ananda Shankar Hati, & Prashant Kumar. (2023). An adaptive neural fuzzy interface structure optimisation for prediction of energy consumption and airflow of a ventilation system. Applied Energy. 337. 120879–120879. 18 indexed citations
16.
Kumar, Sunil, et al.. (2023). Fusion of Deep Sort and Yolov5 for Effective Vehicle Detection and Tracking Scheme in Real-Time Traffic Management Sustainable System. Sustainability. 15(24). 16869–16869. 17 indexed citations
17.
Kumar, Prashant & Ananda Shankar Hati. (2021). Transfer learning-based deep CNN model for multiple faults detection in SCIM. Neural Computing and Applications. 33(22). 15851–15862. 22 indexed citations
18.
Kumar, Prashant & Ananda Shankar Hati. (2020). Deep convolutional neural network based on adaptive gradient optimizer for fault detection in SCIM. ISA Transactions. 111. 350–359. 62 indexed citations
19.
Kumar, Prashant & Ananda Shankar Hati. (2020). Review on Machine Learning Algorithm Based Fault Detection in Induction Motors. Archives of Computational Methods in Engineering. 28(3). 1929–1940. 136 indexed citations
20.
Archak, Sunil, Eshwar Meduri, Prashant Kumar, & Javaregowda Nagaraju. (2006). InSatDb: a microsatellite database of fully sequenced insect genomes. Nucleic Acids Research. 35(Database). D36–D39. 39 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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