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 Italy. 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

5 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.

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 →
Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment

2014 1.2k citations Jay Lee et al. profile →
Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics

2005 1.2k citations Jay Lee et al. profile →
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 →
Recent advances and trends in predictive manufacturing systems in big data environment

2013 745 citations Jay Lee, Behrad Bagheri et al. Manufacturing Letters profile →
A review on prognostics and health monitoring of Li-ion battery

2011 617 citations Jay Lee et al. profile →
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 →
Industrial Artificial Intelligence for industry 4.0-based manufacturing systems

2018 514 citations Jay Lee, Vibhor Pandhare et al. Manufacturing Letters profile →
Intelligent prognostics tools and e-maintenance

2006 417 citations Jay Lee et al. profile →
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 →
A similarity-based prognostics approach for Remaining Useful Life estimation of engineered systems

2008 357 citations Jay Lee et al. profile →
Robust performance degradation assessment methods for enhanced rolling element bearing prognostics

2003 355 citations Jay Lee et al. profile →
Industrial Artificial Intelligence in Industry 4.0 - Systematic Review, Challenges and Outlook

2020 346 citations Xiaodong Jia, Jay Lee et al. profile →
Smart Agents in Industrial Cyber–Physical Systems

2016 318 citations Paulo Leitão, Stamatis Karnouskos et al. profile →
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 →
Industrial Big Data Analytics and Cyber-physical Systems for Future Maintenance & Service Innovation

2015 258 citations Jay Lee, Hossein Davari Ardakani et al. profile →
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 →

Peers

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Novel topological machine learning methodology for stream-of-quality modeling in smart manufacturing 2025 ·Manufacturing Letters ·Jay Lee, (unknown), Yuan-Ming Hsu	1
2	Dental Prosthetic Rehabilitation in Mandibular Reconstruction: Optimizing Timing and Patient Selection 2025 ·The Laryngoscope ·(unknown), Jay Lee, (unknown), (unknown), (unknown), (unknown), (unknown), Leila Musavi, Harsh Patel, Michelle Chen, Evan Walgama, Zachary S. Zumsteg, Allen S. Ho, Jon Mallen‐St. Clair	1
3	Detection of inception of preload loss and remaining life prediction for ball screw considering change in dynamics due to worktable position 2023 ·Mechanical Systems and Signal Processing ·Pradeep Kundu, (unknown), (unknown), Xiaodong Jia, Jay Lee	15
4	Novel Ensemble Domain Adaptation Methodology for Enhanced Multi-class Fault Diagnosis of Highly-Connected Fleet of Assets 2023 ·(unknown), (unknown), Pradeep Kundu, Shahin Siahpour, Jay Lee	1
5	Alignment of the IEEE Industrial Agents Recommended Practice Standard With the Reference Architectures RAMI4.0, IIRA, and SGAM 2023 ·IEEE Open Journal of the Industrial Electronics Society ·Paulo Leitão, Stamatis Karnouskos, Thomas Strasser, (unknown), Jay Lee, Armando Walter Colombo	7
6	Data Quality and Usability Assessment Methodology for Prognostics and Health Management: A Systematic Framework 2022 ·IFAC-PapersOnLine ·(unknown), (unknown), (unknown), Jay Lee	2
7	A Novel Method in Intelligent Synthetic Data Creation for Machine Learning-based Manufacturing Quality Control 2022 ·IFAC-PapersOnLine ·(unknown), Paul Thomas, (unknown), Jay Lee	3
8	Integrating PHM into production scheduling through a Digital Twin-based framework 2022 ·IFAC-PapersOnLine ·Elisa Negri, Laura Cattaneo, Vibhor Pandhare, Marco Macchi, Jay Lee	5
9	Ball Screw Health Monitoring With Inertial Sensors 2022 ·IEEE Transactions on Industrial Informatics ·Vibhor Pandhare, (unknown), Gregory W. Vogl, Jay Lee	10
10	Quantifying the Contribution of LUCC to Surface Energy Budget: A Case Study of Four Typical Cities in the Yellow River Basin in China 2021 ·Atmosphere ·(unknown), Shenghui Zhou, Lijun Wang, (unknown), Dandan Liu, (unknown), Xiao Zhao, (unknown), Siyu Ye, Jay Lee, Yaoping Cui	7
11	Effects of Meteorological Factors and Anthropogenic Precursors on PM2.5 Concentrations in Cities in China 2020 ·Sustainability ·(unknown), Pengfei Liu, (unknown), Hongquan Song, Jay Lee, (unknown), Xing Yu	40
12	Industrial Remaining Useful Life Prediction by Partial Observation Using Deep Learning With Supervised Attention 2020 ·IEEE/ASME Transactions on Mechatronics ·Xiang Li, (unknown), Yinglu Wang, Shaojie Yang, Haodong Zhao, Jay Lee	48
13	Deep Learning-Based Domain Adaptation Method for Fault Diagnosis in Semiconductor Manufacturing 2020 ·IEEE Transactions on Semiconductor Manufacturing ·Moslem Azamfar, Xiang Li, Jay Lee	60
14	A Novel Method for Deposit Accumulation Assessment in Dry Etching Chamber 2019 ·IEEE Transactions on Semiconductor Manufacturing ·Li Pin, (unknown), (unknown), (unknown), (unknown), (unknown), Jay Lee	11
15	Fingerprint analysis concept for gearbox health monitoring on speed transitory conditions using motor current signature analysis 2018 ·PHM Society European Conference ·(unknown), (unknown), Susana Ferreiro, A. Garcı́a-Arribas, Hossein Davari Ardakani, Jay Lee	0
16	A New Scheme for Monitoring and Diagnosis of Multistage Manufacturing Processes Using Product Quality Measurements 2015 ·Annual Conference of the PHM Society ·Hossein Davari Ardakani, Brian Phillips, Behrad Bagheri, Jay Lee	1
17	Information Reconstruction Method for Improved Clustering and Diagnosis of Generic Gearbox Signals 2011 ·International Journal of Prognostics and Health Management ·(unknown), Jay Lee	7
18	Intelligent Maintenance Systems: The Next Five Years and Beyond 2010 ·Jay Lee, (unknown)	1
19	Innovative Superhard Materials and Sustainable Coatings for Advanced Manufacturing 2005 ·Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) ·Jay Lee, V. Z. Turkevich, Н. В. Новиков	18
20	Advanced Credit-Assignment CMAC Algorithm for Robust Self-Learning and Self-Maintenance Machine 2004 ·Tsinghua Science & Technology ·Lei Zhang, Jay Lee, Qixin Cao, Lei Wang	3

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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