Jay Lee

30.2k total citations · 17 hit papers
350 papers, 21.4k citations indexed

About

Jay Lee is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Mechanical Engineering. According to data from OpenAlex, Jay Lee has authored 350 papers receiving a total of 21.4k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Control and Systems Engineering, 98 papers in Industrial and Manufacturing Engineering and 75 papers in Mechanical Engineering. Recurrent topics in Jay Lee's work include Machine Fault Diagnosis Techniques (93 papers), Fault Detection and Control Systems (73 papers) and Industrial Vision Systems and Defect Detection (48 papers). Jay Lee is often cited by papers focused on Machine Fault Diagnosis Techniques (93 papers), Fault Detection and Control Systems (73 papers) and Industrial Vision Systems and Defect Detection (48 papers). Jay Lee collaborates with scholars based in United States, China and Germany. Jay Lee's co-authors include Behrad Bagheri, Hung-An Kao, Shanhu Yang, Hai Qiu, Jaskaran Singh, David Siegel, Jing Lin, Xiaodong Jia, Jingliang Zhang and Gang Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Proceedings of the IEEE.

In The Last Decade

Jay Lee

341 papers receiving 20.5k citations

Hit Papers

A Cyber-Physical Systems ... 2003 2026 2010 2018 2014 2014 2005 2013 2013 500 1000 1.5k 2.0k 2.5k
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.

  1. A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
    2014 3.0k citations Jay Lee, Behrad Bagheri et al. Manufacturing Letters profile →
  2. Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment
    2014 1.2k citations Jay Lee et al. profile →
  3. Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics
    2005 1.2k citations Jay Lee et al. profile →
  4. Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications
    2013 1.1k citations Jay Lee et al. Mechanical Systems and Signal Processing profile →
  5. Recent advances and trends in predictive manufacturing systems in big data environment
    2013 745 citations Jay Lee, Behrad Bagheri et al. Manufacturing Letters profile →
  6. A review on prognostics and health monitoring of Li-ion battery
    2011 617 citations Jay Lee et al. profile →
  7. Review and recent advances in battery health monitoring and prognostics technologies for electric vehicle (EV) safety and mobility
    2014 542 citations Jay Lee et al. profile →
  8. Industrial Artificial Intelligence for industry 4.0-based manufacturing systems
    2018 514 citations Jay Lee, Vibhor Pandhare et al. Manufacturing Letters profile →
  9. Intelligent prognostics tools and e-maintenance
    2006 417 citations Jay Lee et al. profile →
  10. Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods
    2006 393 citations Jay Lee et al. Mechanical Systems and Signal Processing profile →
  11. A similarity-based prognostics approach for Remaining Useful Life estimation of engineered systems
    2008 357 citations Jay Lee et al. profile →
  12. Robust performance degradation assessment methods for enhanced rolling element bearing prognostics
    2003 355 citations Jay Lee et al. profile →
  13. Industrial Artificial Intelligence in Industry 4.0 - Systematic Review, Challenges and Outlook
    2020 346 citations Xiaodong Jia, Jay Lee et al. profile →
  14. Smart Agents in Industrial Cyber–Physical Systems
    2016 318 citations Paulo Leitão, Stamatis Karnouskos et al. profile →
  15. Multisensor data fusion for gearbox fault diagnosis using 2-D convolutional neural network and motor current signature analysis
    2020 268 citations Moslem Azamfar, Jay Lee et al. Mechanical Systems and Signal Processing profile →
  16. Industrial Big Data Analytics and Cyber-physical Systems for Future Maintenance & Service Innovation
    2015 258 citations Jay Lee, Hossein Davari Ardakani et al. profile →
  17. Cyber-physical Systems Architecture for Self-Aware Machines in Industry 4.0 Environment
    2015 220 citations Behrad Bagheri, Jay Lee et al. IFAC-PapersOnLine profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jay Lee 7.8k 6.9k 4.3k 3.1k 2.5k 350 21.4k
Robert X. Gao 9.0k 1.2× 4.6k 0.7× 7.9k 1.9× 923 0.3× 2.4k 1.0× 381 19.4k
Lihui Wang 4.4k 0.6× 14.6k 2.1× 5.2k 1.2× 721 0.2× 2.9k 1.2× 963 30.0k
Liang Gao 6.4k 0.8× 13.4k 1.9× 5.3k 1.3× 762 0.2× 3.4k 1.4× 1.0k 34.5k
Enrico Zio 10.7k 1.4× 1.3k 0.2× 4.3k 1.0× 8.6k 2.8× 5.3k 2.2× 1.1k 32.0k
Sakshi Agarwal 4.1k 0.5× 4.4k 0.6× 4.4k 1.0× 790 0.3× 5.7k 2.3× 27 34.1k
Andrew Kusiak 2.9k 0.4× 7.9k 1.1× 2.9k 0.7× 927 0.3× 3.4k 1.4× 361 18.8k
Amrit Pratap 4.1k 0.5× 4.4k 0.6× 4.4k 1.0× 790 0.3× 5.7k 2.3× 5 34.1k
Fei Tao 2.0k 0.3× 17.2k 2.5× 2.2k 0.5× 1.8k 0.6× 1.9k 0.8× 345 25.7k
A.Y.C. Nee 1.8k 0.2× 10.8k 1.6× 4.1k 1.0× 879 0.3× 1.2k 0.5× 421 18.7k
Sankaran Mahadevan 1.8k 0.2× 1.5k 0.2× 2.7k 0.6× 1.7k 0.6× 619 0.3× 521 18.1k

Countries citing papers authored by Jay Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jay Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Lee. A scholar is included among the top collaborators of Jay Lee 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 Jay Lee. Jay Lee 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.
Lee, Jay, et al.. (2025). Novel topological machine learning methodology for stream-of-quality modeling in smart manufacturing. Manufacturing Letters. 43. 60–63. 1 indexed citations
2.
Lee, Jay, Leila Musavi, Harsh Patel, et al.. (2025). Dental Prosthetic Rehabilitation in Mandibular Reconstruction: Optimizing Timing and Patient Selection. The Laryngoscope. 135(8). 2801–2809. 1 indexed citations
3.
4.
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
5.
Leitão, Paulo, et al.. (2023). Alignment of the IEEE Industrial Agents Recommended Practice Standard With the Reference Architectures RAMI4.0, IIRA, and SGAM. IEEE Open Journal of the Industrial Electronics Society. 4. 98–111. 7 indexed citations
6.
Lee, Jay, et al.. (2022). Data Quality and Usability Assessment Methodology for Prognostics and Health Management: A Systematic Framework. IFAC-PapersOnLine. 55(19). 55–60. 2 indexed citations
7.
Thomas, Paul, et al.. (2022). A Novel Method in Intelligent Synthetic Data Creation for Machine Learning-based Manufacturing Quality Control. IFAC-PapersOnLine. 55(19). 73–78. 3 indexed citations
8.
Negri, Elisa, Laura Cattaneo, Vibhor Pandhare, Marco Macchi, & Jay Lee. (2022). Integrating PHM into production scheduling through a Digital Twin-based framework. IFAC-PapersOnLine. 55(19). 31–36. 5 indexed citations
9.
Pandhare, Vibhor, et al.. (2022). Ball Screw Health Monitoring With Inertial Sensors. IEEE Transactions on Industrial Informatics. 19(6). 7323–7334. 10 indexed citations
10.
Zhou, Shenghui, Lijun Wang, Dandan Liu, et al.. (2021). Quantifying the Contribution of LUCC to Surface Energy Budget: A Case Study of Four Typical Cities in the Yellow River Basin in China. Atmosphere. 12(11). 1374–1374. 7 indexed citations
11.
Liu, Pengfei, et al.. (2020). Effects of Meteorological Factors and Anthropogenic Precursors on PM2.5 Concentrations in Cities in China. Sustainability. 12(9). 3550–3550. 40 indexed citations
12.
Li, Xiang, et al.. (2020). Industrial Remaining Useful Life Prediction by Partial Observation Using Deep Learning With Supervised Attention. IEEE/ASME Transactions on Mechatronics. 25(5). 2241–2251. 48 indexed citations
13.
Azamfar, Moslem, Xiang Li, & Jay Lee. (2020). Deep Learning-Based Domain Adaptation Method for Fault Diagnosis in Semiconductor Manufacturing. IEEE Transactions on Semiconductor Manufacturing. 33(3). 445–453. 60 indexed citations
14.
Pin, Li, et al.. (2019). A Novel Method for Deposit Accumulation Assessment in Dry Etching Chamber. IEEE Transactions on Semiconductor Manufacturing. 32(2). 183–189. 11 indexed citations
15.
16.
Lee, Jay, Chao Jin, & Behrad Bagheri. (2017). Cyber physical systems for predictive production systems. Production Engineering. 11(2). 155–165. 72 indexed citations
17.
Ardakani, Hossein Davari, Brian Phillips, Behrad Bagheri, & Jay Lee. (2015). A New Scheme for Monitoring and Diagnosis of Multistage Manufacturing Processes Using Product Quality Measurements. Annual Conference of the PHM Society. 7(1). 1 indexed citations
18.
Lee, Jay, et al.. (2011). Information Reconstruction Method for Improved Clustering and Diagnosis of Generic Gearbox Signals. International Journal of Prognostics and Health Management. 2(1). 7 indexed citations
19.
Lee, Jay, et al.. (2010). Intelligent Maintenance Systems: The Next Five Years and Beyond. 23(3). 6. 1 indexed citations
20.
Lee, Jay, V. Z. Turkevich, & Н. В. Новиков. (2005). Innovative Superhard Materials and Sustainable Coatings for Advanced Manufacturing. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 18 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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