Masoud Jalayer

706 total citations · 1 hit paper
14 papers, 431 citations indexed

About

Masoud Jalayer is a scholar working on Control and Systems Engineering, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Masoud Jalayer has authored 14 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 4 papers in Artificial Intelligence and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in Masoud Jalayer's work include Machine Fault Diagnosis Techniques (4 papers), Fault Detection and Control Systems (3 papers) and Speech and Audio Processing (2 papers). Masoud Jalayer is often cited by papers focused on Machine Fault Diagnosis Techniques (4 papers), Fault Detection and Control Systems (3 papers) and Speech and Audio Processing (2 papers). Masoud Jalayer collaborates with scholars based in Italy, Canada and Finland. Masoud Jalayer's co-authors include Carlotta Orsenigo, Carlo Vercellis, Homayoun Najjaran, Amin Kaboli, Sara Bagherifard, Amirali Baniasadi and Masayoshi Tomizuka and has published in prestigious journals such as Sensors, Computers & Industrial Engineering and Applied Sciences.

In The Last Decade

Masoud Jalayer

12 papers receiving 414 citations

Hit Papers

Fault detection and diagnosis for rotating machinery: A m... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers

Masoud Jalayer
Masoud Jalayer
Citations per year, relative to Masoud Jalayer Masoud Jalayer (= 1×) peers Xiaoli Zhao

Countries citing papers authored by Masoud Jalayer

Since Specialization
Citations

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

Fields of papers citing papers by Masoud Jalayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masoud Jalayer

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

All Works

14 of 14 papers shown
1.
Jalayer, Masoud, et al.. (2025). A review on deep learning for vision-based hand detection, hand segmentation and hand gesture recognition in human–robot interaction. Robotics and Computer-Integrated Manufacturing. 97. 103110–103110.
2.
3.
Jalayer, Masoud, et al.. (2025). Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions. Computers & Industrial Engineering. 200. 110856–110856. 7 indexed citations
4.
Jalayer, Masoud, et al.. (2025). Enhanced geometrical control in cold spray additive manufacturing through deep neural network predictive models. Virtual and Physical Prototyping. 20(1). 4 indexed citations
5.
Jalayer, Masoud, et al.. (2025). A Review on Sound Source Localization in Robotics: Focusing on Deep Learning Methods. Applied Sciences. 15(17). 9354–9354.
6.
Jalayer, Masoud, et al.. (2024). Unveiling the Black Box: A Unified XAI Framework for Signal-Based Deep Learning Models. Machines. 12(2). 121–121. 3 indexed citations
7.
Jalayer, Masoud, et al.. (2024). ConvLSTM-based Sound Source Localization in a manufacturing workplace. Computers & Industrial Engineering. 192. 110213–110213. 4 indexed citations
8.
Jalayer, Masoud, et al.. (2023). Deep Reinforcement Learning for Machine Scheduling: Methodology, the State-of-The-Art, and Future Directions. SSRN Electronic Journal. 8 indexed citations
9.
Jalayer, Masoud, et al.. (2022). Synthesizing Rolling Bearing Fault Samples in New Conditions: A Framework Based on a Modified CGAN. Sensors. 22(14). 5413–5413. 19 indexed citations
10.
Jalayer, Masoud, Amin Kaboli, Carlotta Orsenigo, & Carlo Vercellis. (2022). Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery. Machines. 10(4). 237–237. 21 indexed citations
11.
Jalayer, Masoud, et al.. (2022). Intelligent manufacturing execution systems: A systematic review. Journal of Manufacturing Systems. 62. 503–522. 71 indexed citations
12.
Jalayer, Masoud, Carlotta Orsenigo, & Carlo Vercellis. (2020). Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms. Computers in Industry. 125. 103378–103378. 259 indexed citations breakdown →
13.
Jalayer, Masoud, et al.. (2018). OPINION-AWARE INFLUENCE MAXIMIZATION: HOW TO MAXIMIZE A FAVORITE OPINION IN A SOCIAL NETWORK?. Advances in Complex Systems. 21(06n07). 1850022–1850022. 6 indexed citations
14.
Jalayer, Masoud, et al.. (2018). A hybrid algorithm based on community detection and multi attribute decision making for influence maximization. Computers & Industrial Engineering. 120. 234–250. 27 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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