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, Junda Zhu, Eric Bechhoefer, 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

Author Peers

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

Author						Papers	Cites
Jae Yoon	410	367	131	76	51	17	572
Faris Elasha	481 1.2×	408 1.1×	151 1.2×	88 1.2×	52 1.0×	30	611
Giovanni Jacazio	382 0.9×	330 0.9×	87 0.7×	53 0.7×	23 0.5×	78	529
Anbo Ming	333 0.8×	299 0.8×	232 1.8×	126 1.7×	44 0.9×	33	577
Mohamed Elforjani	523 1.3×	496 1.4×	203 1.5×	137 1.8×	44 0.9×	19	722
Piyush Shakya	352 0.9×	323 0.9×	140 1.1×	49 0.6×	46 0.9×	28	497
Brandon Van Hecke	343 0.8×	325 0.9×	116 0.9×	59 0.8×	27 0.5×	11	454
Jian Fu	264 0.6×	361 1.0×	99 0.8×	46 0.6×	65 1.3×	23	493
Fabrice Bolaers	294 0.7×	298 0.8×	118 0.9×	92 1.2×	26 0.5×	35	530
Vamsi Inturi	287 0.7×	280 0.8×	112 0.9×	72 0.9×	48 0.9×	24	443
James Xi Gu	434 1.1×	342 0.9×	157 1.2×	69 0.9×	43 0.8×	21	522

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

He, David, et al.. (2023). A Natural Language Processing Based Planetary Gearbox Fault Diagnosis with Acoustic Emission Signals. 323. 1–6. 3 indexed citations

Zhu, Junda, Jae Yoon, David He, Yongzhi Qu, & Eric Bechhoefer. (2020). Lubrication Oil Condition Monitoring and Remaining Useful Life Prediction with Particle Filtering. International Journal of Prognostics and Health Management. 4(3). 36 indexed citations

He, Miao, et al.. (2018). Wind turbine planetary gearbox feature extraction and fault diagnosis using a deep-learning-based approach. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 233(3). 303–316. 21 indexed citations

Yoon, Jae, David He, & Matthew L. Bolton. (2016). A LAMSTAR Network-Based Human Judgment Analysis. IEEE Transactions on Human-Machine Systems. 47(6). 951–957. 2 indexed citations

Yoon, Jae & David He. (2015). Planetary gearbox fault diagnostic method using acoustic emission sensors. IET Science Measurement & Technology. 9(8). 936–944. 29 indexed citations

Hecke, Brandon Van, Jae Yoon, & David He. (2015). Low speed bearing fault diagnosis using acoustic emission sensors. Applied Acoustics. 105. 35–44. 114 indexed citations

Yoon, Jae, et al.. (2015). Vibration‐based wind turbine planetary gearbox fault diagnosis using spectral averaging. Wind Energy. 19(9). 1733–1747. 25 indexed citations

Yoon, Jae, David He, & Brandon Van Hecke. (2015). On the Use of a Single Piezoelectric Strain Sensor for Wind Turbine Planetary Gearbox Fault Diagnosis. IEEE Transactions on Industrial Electronics. 62(10). 6585–6593. 65 indexed citations

Yoon, Jae, David He, & Brandon Van Hecke. (2014). A PHM Approach to Additive Manufacturing Equipment Health Monitoring, Fault Diagnosis, and Quality Control. Annual Conference of the PHM Society. 6(1). 33 indexed citations

10.

Yoon, Jae, et al.. (2014). Planetary Gearbox Fault Diagnosis Using a Single Piezoelectric Strain Sensor. Annual Conference of the PHM Society. 6(1). 9 indexed citations

11.

Qu, Yongzhi, David He, Jae Yoon, et al.. (2014). Gearbox Tooth Cut Fault Diagnostics Using Acoustic Emission and Vibration Sensors — A Comparative Study. Sensors. 14(1). 1372–1393. 99 indexed citations

12.

Zhu, Junda, Jae Yoon, David He, & Eric Bechhoefer. (2014). Online particle-contaminated lubrication oil condition monitoring and remaining useful life prediction for wind turbines. Wind Energy. 18(6). 1131–1149. 87 indexed citations

13.

Yoon, Jae & David He. (2014). Development of an Efficient Prognostic Estimator. Journal of Failure Analysis and Prevention. 15(1). 129–138. 9 indexed citations

14.

Qu, Yongzhi, Brandon Van Hecke, David He, et al.. (2014). A study on comparing acoustic emission and vibration sensors for gearbox fault diagnostics. 2 indexed citations

15.

Zhu, Junda, Jae Yoon, David He, Bin Qiu, & Eric Bechhoefer. (2013). Online condition monitoring and remaining useful life prediction of particle contaminated lubrication oil. 1–14. 21 indexed citations

16.

Yoon, Jae, David He, & Bin Qiu. (2013). Full ceramic bearing fault diagnosis using LAMSTAR neural network. 1–9. 13 indexed citations

17.

Yoon, Jae. (2012). A COMPARATIVE STUDY OF ADAPTIVE MCMC BASED PARTICLE FILTERING METHODS. 4 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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