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Masoud Jalayer
ResearcherPublications, citations & collaboration network
Masoud Jalayer is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 31 works, 794 citations, an h-index of 11 and an i10-index of 11.
31
Works
794
Citations
11
h-index
11
i10-index
IDs:OpenAlex
How has Masoud Jalayer's publication output changed over time?
ScholarIQpublication output · 2018–2025
Output grew100% over the shown period — from 1 works in 2018 to 2 in 2025.
1
2
1
3
1
2
201820202021202220232025
What are the most-cited papers on Masoud Jalayer?
ScholarIQmost cited works
Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms
Masoud Jalayer, Carlotta Orsenigo, Carlo Vercellis
Computers in Industry. 2020375 Citations
Intelligent manufacturing execution systems: A systematic review
Ardeshir Shojaeinasab, Todd Charter, Masoud Jalayer, Maziyar Khadivi, Oluwaseyi Ogunfowora, Nirav Raiyani, Marjan Yaghoubi, Homayoun Najjaran
Journal of Manufacturing Systems. 2022160 Citations
Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery
Masoud Jalayer, Amin Kaboli, Carlotta Orsenigo, Carlo Vercellis
S4210219839. 202242 CitationsOPEN ACCESS
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Maziyar Khadivi, Todd Charter, Marjan Yaghoubi, Masoud Jalayer, Maryam Ahang, Ardeshir Shojaeinasab, Homayoun Najjaran
Computers & Industrial Engineering. 202541 Citations
A hybrid algorithm based on community detection and multi attribute decision making for influence maximization
Masoud Jalayer, Morvarid Azheian, Mehrdad Agha Mohammad Ali Kermani
Computers & Industrial Engineering. 201840 CitationsOPEN ACCESS
Related on ScholarIQ
Aalto University
Institution
Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms
Paper
Intelligent manufacturing execution systems: A systematic review
Paper
Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery
Paper
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Paper
A hybrid algorithm based on community detection and multi attribute decision making for influence maximization
Paper