Jay Lee
Impact in
- Industrial and Manufacturing Engineering top 0.01%
- Digital Transformation in Industry
- Flexible and Reconfigurable Manufacturing Systems
- Scheduling and Optimization Algorithms
- Safety, Risk, Reliability and Quality top 0.01%
- Reliability and Maintenance Optimization
Papers in
-
- Machine Fault Diagnosis Techniques 130
- Fault Detection and Control Systems 40
-
- Reliability and Maintenance Optimization 93
- Co-authors
- Hung-An Kao (12 shared papers)Behrad Bagheri (14 shared papers)Shanhu Yang (7 shared papers)Hai Qiu (11 shared papers)Jaskaran Singh (16 shared papers)David Siegel (22 shared papers)Jing Lin (2 shared papers)Xiaodong Jia (38 shared papers)
- Journals
- International Journal of Prognostics and Health Management (14 papers)Mechanical Systems and Signal Processing (13 papers)Manufacturing Letters (12 papers)The International Journal of Advanced Manufacturing Technology (10 papers)Computers in Industry (7 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Jay Lee
365 papers receiving 24.1k citations
Jay Lee's Hit Papers
Peers
Comparison fields: 5 of 180
- Industrial and Manufacturing Engineering 6.9k
- Safety, Risk, Reliability and Quality 3.9k
- Control and Systems Engineering 8.5k
- Automotive Engineering 1.4k
- Management Science and Operations Research 1k
Countries citing papers authored by Jay Lee
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
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-authors
The 25 scholars most cited alongside Jay Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 377 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems Hit paper breakdown → | 2014 | 3782 |
| 2 | Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment Hit paper breakdown → | 2014 | 1483 |
| 3 | Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications Hit paper breakdown → | 2013 | 1296 |
| 4 | Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics Hit paper breakdown → | 2005 | 1268 |
| 5 | Recent advances and trends in predictive manufacturing systems in big data environment Hit paper breakdown → | 2013 | 872 |
| 6 | A review on prognostics and health monitoring of Li-ion battery Hit paper breakdown → | 2011 | 661 |
| 7 | Industrial Artificial Intelligence for industry 4.0-based manufacturing systems Hit paper breakdown → | 2018 | 641 |
| 8 | Review and recent advances in battery health monitoring and prognostics technologies for electric vehicle (EV) safety and mobility Hit paper breakdown → | 2014 | 579 |
| 9 | Intelligent prognostics tools and e-maintenance Hit paper breakdown → | 2006 | 496 |
| 10 | Industrial Artificial Intelligence in Industry 4.0 - Systematic Review, Challenges and Outlook Hit paper breakdown → | 2020 | 474 |
| 11 | Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods Hit paper breakdown → | 2006 | 428 |
| 12 | A similarity-based prognostics approach for Remaining Useful Life estimation of engineered systems Hit paper breakdown → | 2008 | 398 |
| 13 | Smart Agents in Industrial Cyber–Physical Systems Hit paper breakdown → | 2016 | 381 |
| 14 | Robust performance degradation assessment methods for enhanced rolling element bearing prognostics Hit paper breakdown → | 2003 | 380 |
| 15 | Industrial Big Data Analytics and Cyber-physical Systems for Future Maintenance & Service Innovation Hit paper breakdown → | 2015 | 308 |
| 16 | Multisensor data fusion for gearbox fault diagnosis using 2-D convolutional neural network and motor current signature analysis Hit paper breakdown → | 2020 | 296 |
| 17 | Maintenance: Changing Role in Life Cycle Management Hit paper breakdown → | 2004 | 284 |
| 18 | Cyber-physical Systems Architecture for Self-Aware Machines in Industry 4.0 Environment Hit paper breakdown → | 2015 | 266 |
| 19 | 2003 | 251 | |
| 20 | 2006 | 238 |
About Jay Lee
Jay Lee is a scholar working on Control and Systems Engineering, Safety, Risk, Reliability and Quality, Industrial and Manufacturing Engineering, Management Science and Operations Research and Artificial Intelligence, having authored 377 papers that have together received 25.1k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (130 papers), Reliability and Maintenance Optimization (93 papers), Digital Transformation in Industry (54 papers), Fault Detection and Control Systems (40 papers), Impact of AI and Big Data on Business and Society (13 papers), Industrial Vision Systems and Defect Detection (9 papers), Advanced machining processes and optimization (9 papers) and Artificial Intelligence Applications (8 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (6.9k citations), Safety, Risk, Reliability and Quality (3.9k citations), Control and Systems Engineering (8.5k citations), Automotive Engineering (1.4k citations) and Management Science and Operations Research (1k citations). Jay Lee has collaborated with scholars based in United States, China and France. Frequent co-authors include Hung-An Kao, Behrad Bagheri, Shanhu Yang, Hai Qiu, Jaskaran Singh, David Siegel, Jing Lin, Xiaodong Jia, Jingliang Zhang and Edzel Lapira. Their work appears in journals such as International Journal of Prognostics and Health Management, Mechanical Systems and Signal Processing, Manufacturing Letters, The International Journal of Advanced Manufacturing Technology and Computers in Industry.
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.