Jae Yoon

711 total citations
17 papers, 572 citations indexed

About

Jae Yoon is a scholar working on Control and Systems Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Jae Yoon has authored 17 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Control and Systems Engineering, 11 papers in Mechanical Engineering and 3 papers in Civil and Structural Engineering. Recurrent topics in Jae Yoon's work include Machine Fault Diagnosis Techniques (14 papers), Fault Detection and Control Systems (8 papers) and Gear and Bearing Dynamics Analysis (6 papers). Jae Yoon is often cited by papers focused on Machine Fault Diagnosis Techniques (14 papers), Fault Detection and Control Systems (8 papers) and Gear and Bearing Dynamics Analysis (6 papers). Jae Yoon collaborates with scholars based in United States. Jae Yoon's co-authors include David He, Brandon Van Hecke, Eric Bechhoefer, Junda Zhu, Yongzhi Qu, Bin Qiu, Miao He and Matthew L. Bolton and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Sensors and Wind Energy.

In The Last Decade

Jae Yoon

17 papers receiving 546 citations

Peers

Countries citing papers authored by Jae Yoon

Since Specialization

Citations

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

Fields of papers citing papers by Jae Yoon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jae Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Jae Yoon. A scholar is included among the top collaborators of Jae Yoon 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 Jae Yoon. Jae Yoon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	A Natural Language Processing Based Planetary Gearbox Fault Diagnosis with Acoustic Emission Signals 2023 ·David He, (unknown), Jae Yoon	3
2	Lubrication Oil Condition Monitoring and Remaining Useful Life Prediction with Particle Filtering 2020 ·International Journal of Prognostics and Health Management ·Junda Zhu, Jae Yoon, David He, Yongzhi Qu, Eric Bechhoefer	36
3	Wind turbine planetary gearbox feature extraction and fault diagnosis using a deep-learning-based approach 2018 ·Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability ·Miao He, David He, Jae Yoon, (unknown), Junda Zhu, Eric Bechhoefer	21
4	A LAMSTAR Network-Based Human Judgment Analysis 2016 ·IEEE Transactions on Human-Machine Systems ·Jae Yoon, David He, Matthew L. Bolton	2
5	Planetary gearbox fault diagnostic method using acoustic emission sensors 2015 ·IET Science Measurement & Technology ·Jae Yoon, David He	29
6	Low speed bearing fault diagnosis using acoustic emission sensors 2015 ·Applied Acoustics ·Brandon Van Hecke, Jae Yoon, David He	114
7	Vibration‐based wind turbine planetary gearbox fault diagnosis using spectral averaging 2015 ·Wind Energy ·Jae Yoon, David He, Brandon Van Hecke, (unknown), Junda Zhu, Eric Bechhoefer	25
8	On the Use of a Single Piezoelectric Strain Sensor for Wind Turbine Planetary Gearbox Fault Diagnosis 2015 ·IEEE Transactions on Industrial Electronics ·Jae Yoon, David He, Brandon Van Hecke	65
9	A PHM Approach to Additive Manufacturing Equipment Health Monitoring, Fault Diagnosis, and Quality Control 2014 ·Annual Conference of the PHM Society ·Jae Yoon, David He, Brandon Van Hecke	33
10	Planetary Gearbox Fault Diagnosis Using a Single Piezoelectric Strain Sensor 2014 ·Annual Conference of the PHM Society ·Jae Yoon, David He, Brandon Van Hecke, (unknown), Junda Zhu, Eric Bechhoefer	9
11	Gearbox Tooth Cut Fault Diagnostics Using Acoustic Emission and Vibration Sensors — A Comparative Study 2014 ·Sensors ·Yongzhi Qu, David He, Jae Yoon, Brandon Van Hecke, Eric Bechhoefer, Junda Zhu	99
12	Online particle-contaminated lubrication oil condition monitoring and remaining useful life prediction for wind turbines 2014 ·Wind Energy ·Junda Zhu, Jae Yoon, David He, Eric Bechhoefer	87
13	Development of an Efficient Prognostic Estimator 2014 ·Journal of Failure Analysis and Prevention ·Jae Yoon, David He	9
14	A study on comparing acoustic emission and vibration sensors for gearbox fault diagnostics 2014 ·Yongzhi Qu, Brandon Van Hecke, David He, Jae Yoon, Eric Bechhoefer, Junda Zhu	2
15	Online condition monitoring and remaining useful life prediction of particle contaminated lubrication oil 2013 ·Junda Zhu, Jae Yoon, David He, Bin Qiu, Eric Bechhoefer	21
16	Full ceramic bearing fault diagnosis using LAMSTAR neural network 2013 ·Jae Yoon, David He, Bin Qiu	13
17	A COMPARATIVE STUDY OF ADAPTIVE MCMC BASED PARTICLE FILTERING METHODS 2012 ·Jae Yoon	4

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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