Masdi Muhammad

49 papers receiving 884 citations

Masdi Muhammad's Hit Papers

Insights into modern machine learning approaches for bearing fault classification: A systematic literature review 2024 · 53 citations
530+3+6Years since publication100200300

Peers

Masdi Muhammad
Comparison fields: 5 of 108
  • Statistics, Probability and Uncertainty 116
  • Control and Systems Engineering 361
  • Medical Laboratory Technology 18
  • Fluid Flow and Transfer Processes 63
  • Safety, Risk, Reliability and Quality 83
Replace B.S. Prabhu with:
B.S. Prabhu India
Yu Zheng China
Jan Lundberg Sweden
Yuanhang Wang China
Bernd Bertsche Germany
Weiqiang Jia China
Luís Ferreira Portugal
Van Tung Tran South Korea
Zhifeng Liu China
Yafei Deng China
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Citations per field
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Citations per year

Countries citing papers authored by Masdi Muhammad

Since Specialization
Citations

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

Fields of papers citing papers by Masdi Muhammad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Masdi Muhammad. 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 Masdi Muhammad. The network helps show where Masdi Muhammad may publish in the future.

Co-authors

The 25 scholars most cited alongside Masdi Muhammad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Masdi Muhammad Line = papers co-authored together Masdi Muhammad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review
Hit paper breakdown →
2017369
2
Insights into modern machine learning approaches for bearing fault classification: A systematic literature review
Hit paper breakdown →
202453
3 202152
4 201739
5 201439
6 202131
7 202230
8 202024
9 202421
10 202321
11 202120
12 202416
13 202014
14 202313
15 201912
16 201511
17 201911
18 201410
19 201710
20 201410

About Masdi Muhammad

Masdi Muhammad is a scholar working on Mechanical Engineering, Safety, Risk, Reliability and Quality, Control and Systems Engineering, Mechanics of Materials and Statistics, Probability and Uncertainty, having authored 58 papers that have together received 910 indexed citations. Recurring topics across this work include Risk and Safety Analysis (11 papers), Reliability and Maintenance Optimization (11 papers), Engineering Diagnostics and Reliability (10 papers), Machine Fault Diagnosis Techniques (6 papers), Fault Detection and Control Systems (6 papers), Structural Integrity and Reliability Analysis (6 papers), Life Cycle Costing Analysis (5 papers) and Combustion and Detonation Processes (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (116 citations), Control and Systems Engineering (361 citations), Medical Laboratory Technology (18 citations), Fluid Flow and Transfer Processes (63 citations) and Safety, Risk, Reliability and Quality (83 citations). Masdi Muhammad has collaborated with scholars based in Malaysia, Pakistan and Türkiye. Frequent co-authors include Zainal Ambri Abdul Karim, Mohammadreza Tahan, Elias Tsoutsanis, Ainul Akmar Mokhtar, Srinivasa Rao Pedapati, Víctor Leiva, Usama Muhammad Niazi, Afzal Ahmed Soomro, Muhammad Nihal Hussain and Mohamad Hanif Md Saad. Their work appears in journals such as Results in Engineering, Journal of Applied Sciences, Applied Sciences, Applied Ocean Research and Sustainability.

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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