Jaskaran Singh

3.7k total citations · 2 hit papers
55 papers, 2.6k citations indexed

About

Jaskaran Singh is a scholar working on Control and Systems Engineering, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Jaskaran Singh has authored 55 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Control and Systems Engineering, 20 papers in Mechanical Engineering and 15 papers in Biomedical Engineering. Recurrent topics in Jaskaran Singh's work include Machine Fault Diagnosis Techniques (18 papers), Gear and Bearing Dynamics Analysis (10 papers) and Fault Detection and Control Systems (7 papers). Jaskaran Singh is often cited by papers focused on Machine Fault Diagnosis Techniques (18 papers), Gear and Bearing Dynamics Analysis (10 papers) and Fault Detection and Control Systems (7 papers). Jaskaran Singh collaborates with scholars based in India, United States and United Kingdom. Jaskaran Singh's co-authors include Jay Lee, Moslem Azamfar, Vibhor Pandhare, Hossein Seifi Davari, Vishal Gupta, S. P. Singh, Ashish K. Darpe, Raj Agarwal, Iñaki Bravo-Imaz and Shahin Siahpour and has published in prestigious journals such as Applied Physics Letters, Sensors and Journal of Physics D Applied Physics.

In The Last Decade

Jaskaran Singh

54 papers receiving 2.5k citations

Hit Papers

Industrial Artificial Intelligence for industry 4.0-based... 2018 2026 2020 2023 2018 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaskaran Singh India 23 871 791 682 394 314 55 2.6k
Albert Albers Germany 24 735 0.8× 1.2k 1.5× 1.4k 2.1× 227 0.6× 268 0.9× 639 3.6k
Janis Terpenny United States 25 502 0.6× 785 1.0× 845 1.2× 123 0.3× 150 0.5× 116 2.3k
Shengfeng Qin United Kingdom 27 327 0.4× 1.3k 1.6× 1.0k 1.5× 352 0.9× 169 0.5× 196 3.4k
Baicun Wang China 24 389 0.4× 2.1k 2.6× 720 1.1× 405 1.0× 171 0.5× 63 4.0k
Bin He China 28 491 0.6× 819 1.0× 603 0.9× 328 0.8× 124 0.4× 159 2.6k
Behrooz Arezoo Iran 26 199 0.2× 1.0k 1.3× 1.0k 1.5× 322 0.8× 162 0.5× 83 2.5k
Guofu Ding China 22 356 0.4× 1.1k 1.4× 837 1.2× 228 0.6× 130 0.4× 98 2.3k
Huiyue Dong China 19 399 0.5× 1.0k 1.3× 832 1.2× 501 1.3× 140 0.4× 72 2.2k
Jinsong Bao China 34 416 0.5× 2.2k 2.8× 559 0.8× 170 0.4× 89 0.3× 150 3.5k
Steffen Ihlenfeldt Germany 20 358 0.4× 796 1.0× 1.2k 1.7× 497 1.3× 80 0.3× 222 2.1k

Countries citing papers authored by Jaskaran Singh

Since Specialization
Citations

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

Fields of papers citing papers by Jaskaran Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaskaran Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Jaskaran Singh. A scholar is included among the top collaborators of Jaskaran Singh 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 Jaskaran Singh. Jaskaran Singh 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.
Elboughdiri, Noureddine, et al.. (2026). Enzyme-driven microbial valorisation of agri-residues: From waste to sustainable bio-based products. Biomass and Bioenergy. 209. 109000–109000.
2.
Agarwal, Yash, et al.. (2024). Deep learning-based temperature prediction during rotary ultrasonic bone drilling. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 1 indexed citations
3.
Singh, Jaskaran, Ashish K. Darpe, & S. P. Singh. (2023). Use of Proximity-Based Shaft Displacement Sensors for Rolling Element Bearing Fault Diagnosis. Journal of Vibration Engineering & Technologies. 12(3). 4571–4592. 4 indexed citations
4.
Singh, Harpreet, et al.. (2023). Smart Farming Revolution: Portable and Real-Time Soil Nitrogen and Phosphorus Monitoring for Sustainable Agriculture. Sensors. 23(13). 5914–5914. 28 indexed citations
5.
Agarwal, Raj, Jaskaran Singh, & Vishal Gupta. (2023). A data-driven ensemble machine learning approach for predicting the mechanical strength of 3D printed orthopaedic bone screws. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 239(4). 1650–1662. 3 indexed citations
6.
Gupta, Vishal, et al.. (2023). 3D printing for spine pathologies: a state-of-the-art review. Biomedical Engineering Letters. 13(4). 579–589. 2 indexed citations
7.
Agarwal, Raj, Ravinder Pal Singh, Vishal Gupta, & Jaskaran Singh. (2022). Influence of cutting force on temperature, microcracks and chip morphology during rotary ultrasonic bone drilling: An in-vitro study. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 44(7). 16 indexed citations
8.
Singh, Jaskaran, Moslem Azamfar, Fei Li, & Jay Lee. (2020). A systematic review of machine learning algorithms for prognostics and health management of rolling element bearings: fundamentals, concepts and applications. Measurement Science and Technology. 32(1). 12001–12001. 67 indexed citations
9.
Li, Xiang, et al.. (2020). Enhancing Intelligent Cross-Domain Fault Diagnosis Performance on Rotating Machines with Noisy Health Labels. Procedia Manufacturing. 48. 940–946. 14 indexed citations
10.
Azamfar, Moslem, Jaskaran Singh, Iñaki Bravo-Imaz, & Jay Lee. (2020). Multisensor data fusion for gearbox fault diagnosis using 2-D convolutional neural network and motor current signature analysis. Mechanical Systems and Signal Processing. 144. 106861–106861. 268 indexed citations breakdown →
11.
Singh, Jaskaran, et al.. (2020). Learning Partial Differential Equations from Noisy Data using Neural Networks. Journal of Physics Conference Series. 1655(1). 12075–12075. 1 indexed citations
12.
Lee, Jay, Jun Ni, Jaskaran Singh, et al.. (2020). Intelligent Maintenance Systems and Predictive Manufacturing. Journal of Manufacturing Science and Engineering. 142(11). 105 indexed citations
14.
Singh, Jaskaran, et al.. (2019). Deep learning-based cross-domain adaptation for gearbox fault diagnosis under variable speed conditions. Measurement Science and Technology. 31(5). 55601–55601. 66 indexed citations
15.
Singh, Jaskaran, et al.. (2019). Industrial AI:is it manufacturing’s guiding light?. 2 indexed citations
16.
Hong, Rongjing, et al.. (2019). Performance degradation assessment of a wind turbine gearbox based on multi-sensor data fusion. Mechanism and Machine Theory. 137. 509–526. 92 indexed citations
17.
Singh, Jaskaran, Ashish K. Darpe, & S. P. Singh. (2019). Bearing remaining useful life estimation using an adaptive data-driven model based on health state change point identification and K-means clustering. Measurement Science and Technology. 31(8). 85601–85601. 43 indexed citations
18.
Singh, Jaskaran, Ashish K. Darpe, & S. P. Singh. (2017). Rolling element bearing fault diagnosis based on Over-Complete rational dilation wavelet transform and auto-correlation of analytic energy operator. Mechanical Systems and Signal Processing. 100. 662–693. 74 indexed citations
19.
Singh, Jaskaran, et al.. (2013). Biocomposite scaffolds containing chitosan/alginate/nano-silica for bone tissue engineering. Colloids and Surfaces B Biointerfaces. 109. 294–300. 198 indexed citations
20.
Singh, Jaskaran, et al.. (2013). Development of a traceable performance verification route for optical micro-CMMs.. 1 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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