Lim Meng Hee

774 total citations
45 papers, 557 citations indexed

About

Lim Meng Hee is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Lim Meng Hee has authored 45 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Control and Systems Engineering, 21 papers in Mechanical Engineering and 16 papers in Mechanics of Materials. Recurrent topics in Lim Meng Hee's work include Machine Fault Diagnosis Techniques (20 papers), Fault Detection and Control Systems (12 papers) and Engineering Diagnostics and Reliability (10 papers). Lim Meng Hee is often cited by papers focused on Machine Fault Diagnosis Techniques (20 papers), Fault Detection and Control Systems (12 papers) and Engineering Diagnostics and Reliability (10 papers). Lim Meng Hee collaborates with scholars based in Malaysia, Bahrain and Iraq. Lim Meng Hee's co-authors include M. Salman Leong, Ahmed M. Abdelrhman, Wai Keng Ngui, Kar Hoou Hui, Iftikhar Ahmad, Zair Asrar Ahmad, Mohd Syahril Ramadhan Mohd Saufi, Mohd Ibrahim Shapiai, Khairulzan Yahya and Hooi Siang Kang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy Conversion and Management and Sensors and Actuators A Physical.

In The Last Decade

Lim Meng Hee

42 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lim Meng Hee Malaysia 11 183 166 155 128 121 45 557
Ahmed M. Abdelrhman Malaysia 11 188 1.0× 146 0.9× 110 0.7× 141 1.1× 111 0.9× 36 505
Yibo Li China 14 251 1.4× 109 0.7× 159 1.0× 167 1.3× 136 1.1× 63 639
Yang Zhao-jian China 17 360 2.0× 262 1.6× 159 1.0× 65 0.5× 165 1.4× 60 726
YE Bang-yan China 13 360 2.0× 277 1.7× 108 0.7× 153 1.2× 141 1.2× 57 703
Aurelio Domínguez-González Mexico 16 250 1.4× 178 1.1× 492 3.2× 124 1.0× 138 1.1× 51 888
Giuliano Coppotelli Italy 12 197 1.1× 183 1.1× 346 2.2× 68 0.5× 110 0.9× 76 624
Jacob Dodson United States 13 146 0.8× 129 0.8× 275 1.8× 42 0.3× 161 1.3× 40 499
Shuanfeng Zhao China 13 226 1.2× 228 1.4× 75 0.5× 84 0.7× 96 0.8× 53 617

Countries citing papers authored by Lim Meng Hee

Since Specialization
Citations

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

Fields of papers citing papers by Lim Meng Hee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lim Meng Hee

This figure shows the co-authorship network connecting the top 25 collaborators of Lim Meng Hee. A scholar is included among the top collaborators of Lim Meng Hee 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 Lim Meng Hee. Lim Meng Hee 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.
Ahmad, Iftikhar, et al.. (2023). Development, characterization, and power management of electromagnetic-type hybrid vibro-acoustic energy harvester for wireless sensor nodes. Sensors and Actuators A Physical. 351. 114154–114154. 10 indexed citations
2.
Ahmad, Iftikhar, et al.. (2022). Hybrid vibro-acoustic energy harvesting using electromagnetic transduction for autonomous condition monitoring system. Energy Conversion and Management. 258. 115443–115443. 16 indexed citations
3.
Leong, M. Salman, et al.. (2022). Blade Fault Localization with the Use of Vibration Signals Through Artificial Neural Network: A Data-Driven Approach. Pertanika journal of science & technology. 31(1). 51–68.
4.
Ahmad, Iftikhar, et al.. (2021). Scopes, challenges and approaches of energy harvesting for wireless sensor nodes in machine condition monitoring systems: A review. Measurement. 183. 109856–109856. 53 indexed citations
5.
Saufi, Mohd Syahril Ramadhan Mohd, Zair Asrar Ahmad, M. Salman Leong, & Lim Meng Hee. (2021). Bearing Fault Diagnosis Using Deep Sparse Autoencoder. IOP Conference Series Materials Science and Engineering. 1062(1). 12002–12002. 2 indexed citations
6.
Quen, Lee Kee, et al.. (2020). Vortex-induced vibration characteristics of a low-mass-ratio flexible cylinder. STRUCTURAL ENGINEERING AND MECHANICS. 75(5). 621–631. 1 indexed citations
7.
Ahmad, Zair Asrar, et al.. (2020). Automated Harmonic Signal Removal Technique Using Stochastic Subspace-Based Image Feature Extraction. Journal of Imaging. 6(3). 10–10. 4 indexed citations
8.
Hee, Lim Meng, et al.. (2019). Feature selection tree for automated machinery fault diagnosis. SHILAP Revista de lepidopterología. 255. 2004–2004. 1 indexed citations
9.
Ahmad, Zair Asrar, et al.. (2018). Enhanced frequency domain decomposition algorithm: a review of a recent development for unbiased damping ratio estimates. Journal of Vibroengineering. 20(5). 1919–1936. 43 indexed citations
10.
Abu, Aminudin, et al.. (2018). Suppression of Structure-Borne Noise in a Rectangular Enclosure. IOP Conference Series Materials Science and Engineering. 409. 12019–12019. 1 indexed citations
11.
Leong, M. Salman, et al.. (2017). Empirical mode decomposition: A review on mode selection method for rotating machinery diagnosis. 8(6). 16–26. 4 indexed citations
12.
Hui, Kar Hoou, et al.. (2017). Automated valve fault detection based on acoustic emission parameters and support vector machine. Alexandria Engineering Journal. 57(1). 491–498. 45 indexed citations
13.
Hee, Lim Meng, et al.. (2015). Condition Monitoring of Industrial Gas Turbine Critical Operating Parameters Using Statistical Process Control Charts. Applied Mechanics and Materials. 773-774. 204–209. 1 indexed citations
14.
Hui, Kar Hoou, Lim Meng Hee, & M. Salman Leong. (2014). Machine Learning Tools in Machinery Faults Diagnosis: A Review. Applied Mechanics and Materials. 575. 833–836.
15.
Leong, M. Salman, et al.. (2014). Experimental Investigation on the Use of Bispectral Analysis in Detecting Nonlinear Faults in Hydraulic Machines. Applied Mechanics and Materials. 606. 147–151. 1 indexed citations
16.
Hui, Kar Hoou, Lim Meng Hee, & M. Salman Leong. (2014). Equipment Aging, Aging Detection, and Aging Management: A Review. Applied Mechanics and Materials. 575. 935–938. 1 indexed citations
17.
Leong, M. Salman & Lim Meng Hee. (2013). Blades rubs and looseness detection in gas turbines - operational field experience and laboratory study. Journal of Vibroengineering. 15(3). 1311–1321. 5 indexed citations
18.
Hee, Lim Meng, et al.. (2013). Vibration Analysis of Rub in Rotating Machinery. Applied Mechanics and Materials. 390. 215–219. 5 indexed citations
19.
Hee, Lim Meng, et al.. (2013). Piping Vibration due to Pressure Pulsations: Review. Advanced materials research. 845. 350–354. 2 indexed citations
20.
Hee, Lim Meng & M. Salman Leong. (2012). Experimental study of dynamic responses of casing deflection profile for blade rubbing classification. Journal of Vibroengineering. 14(4). 1668–1680. 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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