Byeong-Keun Choi

1.9k total citations
81 papers, 1.5k citations indexed

About

Byeong-Keun Choi is a scholar working on Mechanical Engineering, Control and Systems Engineering and Civil and Structural Engineering. According to data from OpenAlex, Byeong-Keun Choi has authored 81 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Mechanical Engineering, 35 papers in Control and Systems Engineering and 21 papers in Civil and Structural Engineering. Recurrent topics in Byeong-Keun Choi's work include Machine Fault Diagnosis Techniques (27 papers), Gear and Bearing Dynamics Analysis (16 papers) and Engineering Applied Research (11 papers). Byeong-Keun Choi is often cited by papers focused on Machine Fault Diagnosis Techniques (27 papers), Gear and Bearing Dynamics Analysis (16 papers) and Engineering Applied Research (11 papers). Byeong-Keun Choi collaborates with scholars based in South Korea, United States and Australia. Byeong-Keun Choi's co-authors include Andy Tan, Bo‐Suk Yang, Dong-Sik Gu, Achmad Widodo, Jong-Myon Kim, Myeongsu Kang, Jong-Duk Son, Jae‐Young Kim, Joseph Mathew and Eric Y. Kim and has published in prestigious journals such as IEEE Transactions on Power Electronics, The Journal of the Acoustical Society of America and Expert Systems with Applications.

In The Last Decade

Byeong-Keun Choi

65 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Byeong-Keun Choi South Korea 20 859 801 334 261 163 81 1.5k
Deepam Goyal India 23 946 1.1× 959 1.2× 582 1.7× 301 1.2× 174 1.1× 66 1.9k
Dong Zhen China 25 1.1k 1.3× 921 1.1× 409 1.2× 189 0.7× 153 0.9× 127 2.2k
Beibei Sun China 22 721 0.8× 658 0.8× 285 0.9× 170 0.7× 145 0.9× 77 1.4k
Yongqiang Liu China 20 796 0.9× 929 1.2× 332 1.0× 158 0.6× 56 0.3× 101 1.4k
Alaa Abdulhady Jaber Iraq 23 558 0.6× 350 0.4× 142 0.4× 192 0.7× 190 1.2× 84 1.4k
Gongbo Zhou China 21 582 0.7× 684 0.9× 264 0.8× 124 0.5× 121 0.7× 103 1.4k
Saïd Rechak Algeria 20 544 0.6× 689 0.9× 664 2.0× 347 1.3× 87 0.5× 49 1.5k
Kesheng Wang China 23 904 1.1× 772 1.0× 279 0.8× 179 0.7× 46 0.3× 76 1.5k
Zhi Zhai China 18 476 0.6× 395 0.5× 421 1.3× 163 0.6× 72 0.4× 80 1.4k
Eric Bechhoefer United States 22 1.3k 1.5× 920 1.1× 333 1.0× 263 1.0× 53 0.3× 98 1.7k

Countries citing papers authored by Byeong-Keun Choi

Since Specialization
Citations

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

Fields of papers citing papers by Byeong-Keun Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Byeong-Keun Choi. 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 Byeong-Keun Choi. The network helps show where Byeong-Keun Choi may publish in the future.

Co-authorship network of co-authors of Byeong-Keun Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Byeong-Keun Choi. A scholar is included among the top collaborators of Byeong-Keun Choi 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 Byeong-Keun Choi. Byeong-Keun Choi 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.
Choi, Byeong-Keun, et al.. (2025). CNN-Based Fault Classification in Induction Motors Using Feature Vector Images of Symmetrical Components. Electronics. 14(8). 1679–1679. 2 indexed citations
2.
Kim, Hyeong-Jin, et al.. (2022). Development of Signal Recognition Technology for Automation Rule Based Diagnosis. Transactions of the Korean Society for Noise and Vibration Engineering. 32(4). 361–367.
3.
Lee, Seunghyeon, Jung-Pil Noh, Sunchul Huh, et al.. (2021). Functionalized carbon nanotube–cellulose nanocrystal (CNT–CNC) composite buckypaper via various methods for improved hydrophilicity performance and behavior. Applied Nanoscience. 12(11). 3353–3362. 7 indexed citations
4.
Kim, Hyun‐Sik, et al.. (2021). Feature Analysis Based on Acoustic Emission Signal Processing for Tubular Steel Tower Condition Monitoring. Transactions of the Korean Society for Noise and Vibration Engineering. 31(2). 195–202. 2 indexed citations
5.
Kim, Kyusung, et al.. (2020). Deep learning application of vibration data for predictive maintenance of gravity acceleration equipment.. arXiv (Cornell University). 1 indexed citations
6.
Huh, Sunchul, et al.. (2018). Phase Stability and Properties of Ti-Nb-Zr Thin Films and Their Dependence on Zr Addition. Materials. 11(8). 1361–1361. 11 indexed citations
7.
Choi, Byeong-Keun, et al.. (2017). Feature Analysis based on Genetic Algorithm for Diagnosis of Misalignment. Transactions of the Korean Society for Noise and Vibration Engineering. 27(2). 189–194. 2 indexed citations
8.
Haque, A. K. M. Mahmudul, Se-Dong Kim, Junhyo Kim, et al.. (2017). Forced Convective Heat Transfer of Aqueous Al2O3 Nanofluid Through Shell and Tube Heat Exchanger. Journal of Nanoscience and Nanotechnology. 18(3). 1730–1740. 8 indexed citations
9.
Islam, Md. Rashedul, Sheraz Ali Khan, Jae‐Young Kim, et al.. (2016). Distance and Density Similarity Based Enhancedk-NN Classifier for Improving Fault Diagnosis Performance of Bearings. Shock and Vibration. 2016. 1–11. 10 indexed citations
10.
Son, Jong-Duk, et al.. (2016). An availability of MEMS-based accelerometers and current sensors in machinery fault diagnosis. Measurement. 94. 680–691. 32 indexed citations
11.
Kang, Myeongsu, et al.. (2015). Enhanced DET-Based Fault Signature Analysis for Reliable Diagnosis of Single and Multiple-Combined Bearing Defects. Shock and Vibration. 2015. 1–10. 9 indexed citations
12.
Choi, Byeong-Keun, et al.. (2014). Securing Reliability Analysis of Humidifier Fuel Cell. Transactions of the Korean Society for Noise and Vibration Engineering. 24(8). 613–620.
13.
Choi, Byeong-Keun, et al.. (2013). Optimum Design of 3-Axis Sensor System for Vibration Measurement Using Piezoresistive type MEMS Sensor. Transactions of the Korean Society for Noise and Vibration Engineering. 23(12). 1082–1089. 2 indexed citations
14.
Kim, Hyojung, et al.. (2010). Development of Rotordynamics Program Based on the 2D Finite Element Method for Flywheel Energy Storage System. Transactions of the Korean Society of Mechanical Engineers A. 34(11). 1757–1763.
15.
Choi, Byeong-Keun, et al.. (2008). A Diagnosis and Solution Case of Structural Vibration caused by Pipe. Power System Engineering. 12(2). 18–22. 2 indexed citations
16.
Gu, Dong-Sik, Jeonghwan Lee, Byeong-Keun Choi, & Won-Cheol Kim. (2008). The Diagnosis and Evaluation of Vibration and Noise in Vessel. Han-guk marin enjinieoring hakoeji. 32(1). 42–49. 2 indexed citations
17.
Yang, Bo‐Suk, et al.. (2008). Development of integrated evolutionary optimization algorithm and its application to optimum design of ship structures. Journal of Mechanical Science and Technology. 22(7). 1313–1322. 7 indexed citations
18.
Kim, Yong‐Han, et al.. (2007). Optimum shape design of rotating shaft by ESO method. Journal of Mechanical Science and Technology. 21(7). 1039–1047. 15 indexed citations
19.
Choi, Byeong-Keun, et al.. (2002). OPTIMIZATION OF INTENTIONAL MISTUNING PATTERNS FOR THE REDUCTION OF THE FORCED RESPONSE EFFECTS OF UNINTENTIONAL MISTUNING. 13–23. 8 indexed citations
20.
Mignolet, Marc P. & Byeong-Keun Choi. (2002). Robust Optimal Positioning of Strain Gauges on Blades. 1065–1075. 1 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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