M. H. Lim

492 total citations
18 papers, 356 citations indexed

About

M. H. Lim is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, M. H. Lim has authored 18 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Control and Systems Engineering, 7 papers in Mechanical Engineering and 4 papers in Mechanics of Materials. Recurrent topics in M. H. Lim's work include Machine Fault Diagnosis Techniques (12 papers), Fault Detection and Control Systems (6 papers) and Gear and Bearing Dynamics Analysis (5 papers). M. H. Lim is often cited by papers focused on Machine Fault Diagnosis Techniques (12 papers), Fault Detection and Control Systems (6 papers) and Gear and Bearing Dynamics Analysis (5 papers). M. H. Lim collaborates with scholars based in Malaysia, South Korea and United States. M. H. Lim's co-authors include M. Salman Leong, Zair Asrar Ahmad, Wai Keng Ngui, Aminudin Abu, Lee Kee Quen, Mohd Syahril Ramadhan Mohd Saufi, Kar Hoou Hui, Ricardo A. Mata, Tae‐Eui Kam and Jun-Mo Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical Chemistry Chemical Physics and International Journal of Energy Research.

In The Last Decade

M. H. Lim

18 papers receiving 346 citations

Author Peers

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

Author						Papers	Cites
M. H. Lim	221	152	111	84	63	18	356
Dongxing Chen	237 1.1×	62 0.4×	149 1.3×	51 0.6×	31 0.5×	12	365
Asif Israr	167 0.8×	69 0.5×	57 0.5×	82 1.0×	152 2.4×	39	350
Lianchao Sheng	267 1.2×	206 1.4×	75 0.7×	29 0.3×	76 1.2×	42	465
Qin Wei-Yang	292 1.3×	112 0.7×	156 1.4×	110 1.3×	25 0.4×	19	386
Wei Zhong	149 0.7×	100 0.7×	60 0.5×	91 1.1×	44 0.7×	46	344
M. Amarnath	410 1.9×	191 1.3×	38 0.3×	50 0.6×	173 2.7×	28	516
Andrea Toscani	170 0.8×	265 1.7×	246 2.2×	18 0.2×	44 0.7×	53	489
Gengxiang Wang	126 0.6×	153 1.0×	57 0.5×	24 0.3×	118 1.9×	23	358
Gregory Bregion Daniel	368 1.7×	216 1.4×	27 0.2×	45 0.5×	92 1.5×	36	466
Jawad Aslam	100 0.5×	109 0.7×	74 0.7×	40 0.5×	24 0.4×	36	279

Countries citing papers authored by M. H. Lim

Since Specialization

Citations

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

Fields of papers citing papers by M. H. Lim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. H. Lim. 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 M. H. Lim. The network helps show where M. H. Lim may publish in the future.

Co-authorship network of co-authors of M. H. Lim

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

All Works

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18 of 18 papers shown

Lim, M. H., et al.. (2025). The euroSAMPL1 pK_a blind prediction and reproducible research data management challenge. Physical Chemistry Chemical Physics. 27(36). 18855–18869. 1 indexed citations

Lim, M. H., et al.. (2025). Machine Learning‐Driven Surrogate Modeling for Optimization of Triboelectric Nanogenerator Design Parameters. Advanced Electronic Materials. 11(8). 2 indexed citations

Lim, M. H., et al.. (2024). Improved versatility and robustness of bearing fault detection and diagnostic method for nuclear power plant. Nuclear Engineering and Design. 428. 113474–113474. 10 indexed citations

Lim, M. H., et al.. (2024). Incorporating Segmentive & Augmentive Tools in Cosine KNN for Bearing Intelligent Fault Diagnosis. Journal of Vibration Engineering & Technologies. 12(7). 8581–8594. 1 indexed citations

Lim, M. H., Jun-Mo Kim, Weili Lin, et al.. (2024). A Unified Multi-Modality Fusion Framework for Deep Spatio-Spectral-Temporal Feature Learning in Resting-State fMRI Denoising. IEEE Journal of Biomedical and Health Informatics. 28(4). 2067–2078. 2 indexed citations

Ngui, Wai Keng, et al.. (2022). Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration Data. Journal of Vibration Engineering & Technologies. 11(5). 1987–2011. 4 indexed citations

Ngui, Wai Keng, et al.. (2021). Noise Eliminated Ensemble Empirical Mode Decomposition for Bearing Fault Diagnosis. Journal of Vibration Engineering & Technologies. 9(8). 2229–2245. 40 indexed citations

Leong, M. Salman, et al.. (2019). Optimized ELM based on Whale Optimization Algorithm for gearbox diagnosis. SHILAP Revista de lepidopterología. 255. 2003–2003. 5 indexed citations

Saufi, Mohd Syahril Ramadhan Mohd, Zair Asrar Ahmad, M. Salman Leong, & M. H. Lim. (2019). An intelligent bearing fault diagnosis system: A review. SHILAP Revista de lepidopterología. 255. 6005–6005. 19 indexed citations

10.

Ngui, Wai Keng, et al.. (2019). Blade fault diagnosis using empirical mode decomposition based feature extraction method. SHILAP Revista de lepidopterología. 255. 6009–6009. 1 indexed citations

11.

Leong, M. Salman, et al.. (2019). A Review on Variational Mode Decomposition for Rotating Machinery Diagnosis. SHILAP Revista de lepidopterología. 255. 2017–2017. 20 indexed citations

12.

Abu, Aminudin, et al.. (2019). Bearing fault diagnosis employing Gabor and augmented architecture of convolutional neural network. JOURNAL OF MECHANICAL ENGINEERING AND SCIENCES. 13(3). 5689–5702. 9 indexed citations

13.

Abu, Aminudin, et al.. (2019). A Review on Convolutional Neural Network in Bearing Fault Diagnosis. SHILAP Revista de lepidopterología. 255. 6002–6002. 36 indexed citations

14.

Ahmad, Zair Asrar, Kar Hoou Hui, M. H. Lim, & M. Salman Leong. (2018). Building Floor Vibration due to In-Building Speed Bump. Journal of Performance of Constructed Facilities. 32(4). 2 indexed citations

15.

Lim, M. H., et al.. (2018). Review of vibration-based energy harvesting technology: Mechanism and architectural approach. International Journal of Energy Research. 42(5). 1866–1893. 153 indexed citations

16.

Leong, M. Salman, et al.. (2018). Variational mode decomposition: mode determination method for rotating machinery diagnosis. Journal of Vibroengineering. 20(7). 2604–2621. 48 indexed citations

17.

Hui, Kar Hoou, et al.. (2017). An improved turbo machinery condition monitoring method using multivariate statistical analysis. 1 indexed citations

18.

Leong, M. Salman, et al.. (2014). Application of Bispectral Analysis in Vibration Fault Detection: A Review. Applied Mechanics and Materials. 575. 464–468. 2 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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