Jong Moon Ha

609 total citations
29 papers, 457 citations indexed

About

Jong Moon Ha is a scholar working on Mechanical Engineering, Control and Systems Engineering and Civil and Structural Engineering. According to data from OpenAlex, Jong Moon Ha has authored 29 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Mechanical Engineering, 17 papers in Control and Systems Engineering and 10 papers in Civil and Structural Engineering. Recurrent topics in Jong Moon Ha's work include Gear and Bearing Dynamics Analysis (17 papers), Machine Fault Diagnosis Techniques (16 papers) and Structural Health Monitoring Techniques (8 papers). Jong Moon Ha is often cited by papers focused on Gear and Bearing Dynamics Analysis (17 papers), Machine Fault Diagnosis Techniques (16 papers) and Structural Health Monitoring Techniques (8 papers). Jong Moon Ha collaborates with scholars based in South Korea, United States and Switzerland. Jong Moon Ha's co-authors include Byeng D. Youn, Jung‐Ho Park, Hyunseok Oh, Kyumin Na, Yunhan Kim, Bongtae Han, Yoongho Jung, Wonjae Choi, Hong Min Seung and Olga Fink and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Industrial Electronics and Expert Systems with Applications.

In The Last Decade

Jong Moon Ha

29 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jong Moon Ha South Korea 11 327 307 112 69 32 29 457
James Xi Gu United Kingdom 12 434 1.3× 342 1.1× 157 1.4× 69 1.0× 43 1.3× 21 522
D.H. Pandya India 9 361 1.1× 306 1.0× 129 1.2× 40 0.6× 46 1.4× 14 487
Dongming Hou China 12 274 0.8× 215 0.7× 110 1.0× 46 0.7× 33 1.0× 19 398
Abderrazek Djebala Algeria 12 324 1.0× 299 1.0× 129 1.2× 70 1.0× 43 1.3× 27 429
Faris Elasha United Kingdom 14 481 1.5× 408 1.3× 151 1.3× 88 1.3× 52 1.6× 30 611
Giovanni Jacazio Italy 14 382 1.2× 330 1.1× 87 0.8× 53 0.8× 23 0.7× 78 529
Fengtao Wang China 13 431 1.3× 319 1.0× 151 1.3× 49 0.7× 22 0.7× 23 525
Jin Ji Gao China 4 379 1.2× 257 0.8× 163 1.5× 43 0.6× 27 0.8× 7 440
Jae Yoon United States 11 410 1.3× 367 1.2× 131 1.2× 76 1.1× 51 1.6× 17 572
Xiaosun Wang China 12 242 0.7× 222 0.7× 88 0.8× 41 0.6× 65 2.0× 36 447

Countries citing papers authored by Jong Moon Ha

Since Specialization
Citations

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

Fields of papers citing papers by Jong Moon Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong Moon Ha. 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 Jong Moon Ha. The network helps show where Jong Moon Ha may publish in the future.

Co-authorship network of co-authors of Jong Moon Ha

This figure shows the co-authorship network connecting the top 25 collaborators of Jong Moon Ha. A scholar is included among the top collaborators of Jong Moon Ha 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 Jong Moon Ha. Jong Moon Ha 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.
Park, Jongmin, et al.. (2025). Spectral kurtosis attention network (SKAN): Synergizing signal processing and deep learning for fault diagnosis of rolling element bearings. Expert Systems with Applications. 292. 128581–128581. 2 indexed citations
2.
Park, Jongmin, et al.. (2024). Enhancing gearbox fault diagnosis under phase estimation errors: A dynamic time warping and blind deconvolution approach. Journal of Sound and Vibration. 598. 118851–118851. 3 indexed citations
3.
Choi, Minseok, et al.. (2024). Near-surface defect detection in ultrasonic testing using domain-knowledge-informed self-supervised learning. Ultrasonics. 147. 107528–107528. 5 indexed citations
4.
Park, Jongmin, et al.. (2024). Fault frequency band segmentation and domain adaptation with fault simulated signal for fault diagnosis of rolling element bearings. Journal of Computational Design and Engineering. 12(1). 34–52. 6 indexed citations
5.
Ha, Jong Moon, et al.. (2023). Robust deep learning-based fault detection of planetary gearbox using enhanced health data map under domain shift problem. Journal of Computational Design and Engineering. 10(4). 1677–1693. 4 indexed citations
6.
Park, Jongmin, et al.. (2023). Multi-head de-noising autoencoder-based multi-task model for fault diagnosis of rolling element bearings under various speed conditions. Journal of Computational Design and Engineering. 10(4). 1804–1820. 11 indexed citations
7.
Jo, Soo-Ho, Joon Ha Jung, Jong Moon Ha, et al.. (2023). A Hybrid Approach of Data-driven and Physics-based Methods for Estimation and Prediction of Fatigue Crack Growth. International Journal of Prognostics and Health Management. 11(1). 3 indexed citations
8.
Ha, Jong Moon, et al.. (2022). Thickness evaluation of Cr coating fuel rod using encircling ECT sensor. Nuclear Engineering and Technology. 54(9). 3272–3282. 8 indexed citations
9.
Kim, Dae‐Su, Dong-Gyu Lee, Wonjae Choi, et al.. (2022). Developing a face-shear lead-free piezoelectric transducer through anti-parallel co-poling and its application to an omnidirectional piezoelectric transducer. Ceramics International. 49(5). 7556–7565. 1 indexed citations
10.
Choi, Wonjae, et al.. (2022). Extremely low frequency wave localization via elastic foundation induced metamaterial with a spiral cavity. Scientific Reports. 12(1). 3993–3993. 10 indexed citations
11.
12.
Ha, Jong Moon, Hong Min Seung, & Wonjae Choi. (2021). Autoencoder-based detection of near-surface defects in ultrasonic testing. Ultrasonics. 119. 106637–106637. 24 indexed citations
13.
Kim, Hyunjae, et al.. (2020). Fault Log Recovery Using an Incomplete-data-trained FDA Classifier for Failure Diagnosis of Engineered Systems. International Journal of Prognostics and Health Management. 7(1). 2 indexed citations
14.
Park, Jung‐Ho, Moussa Hamadache, Jong Moon Ha, et al.. (2018). A positive energy residual (PER) based planetary gear fault detection method under variable speed conditions. Mechanical Systems and Signal Processing. 117. 347–360. 44 indexed citations
15.
Ha, Jong Moon, et al.. (2017). Toothwise Fault Identification for a Planetary Gearbox Based on a Health Data Map. IEEE Transactions on Industrial Electronics. 65(7). 5903–5912. 30 indexed citations
16.
Ha, Jong Moon, et al.. (2017). Tooth-wise Fault Identification for a Planetary Gearbox Based on a Health Data Map. 1(1). 1 indexed citations
17.
Ha, Jong Moon, Hyunseok Oh, Jung‐Ho Park, & Byeng D. Youn. (2016). Classification of operating conditions of wind turbines for a class-wise condition monitoring strategy. Renewable Energy. 103. 594–605. 22 indexed citations
18.
Park, Jung‐Ho, Jong Moon Ha, Hyunseok Oh, et al.. (2016). Model-Based Fault Diagnosis of a Planetary Gear: A Novel Approach Using Transmission Error. IEEE Transactions on Reliability. 65(4). 1830–1841. 58 indexed citations
19.
Park, Jung‐Ho, Jong Moon Ha, Hyunseok Oh, et al.. (2015). Experimental Approach for Estimating Mesh Stiffness in Faulty States of Rotating Gear. Annual Conference of the PHM Society. 7(1). 10 indexed citations
20.
Park, Jung‐Ho, et al.. (2014). Model-Based Fault Diagnosis of a Planetary Gear Using Transmission Error. Annual Conference of the PHM Society. 6(1). 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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