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How has Ardeshir Shojaeinasab's publication output changed over time?
ScholarIQpublication output · 2022–2025
Output declined33% over the shown period — from 3 works in 2022 to 2 in 2025.
3
4
1
2
2022202320242025
What are the most-cited papers on Ardeshir Shojaeinasab?
ScholarIQmost cited works
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
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
Synthesizing Rolling Bearing Fault Samples in New Conditions: A Framework Based on a Modified CGAN
Maryam Ahang, Masoud Jalayer, Ardeshir Shojaeinasab, Oluwaseyi Ogunfowora, Todd Charter, Homayoun Najjaran
Sensors. 202229 CitationsOPEN ACCESS
Mixing detection on Bitcoin transactions using statistical patterns
Ardeshir Shojaeinasab, Amir Pasha Motamed, Behnam Bahrak
S4210204386. 202329 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
SSRN Electronic Journal. 202315 CitationsOPEN ACCESS
Related on ScholarIQ
Intelligent manufacturing execution systems: A systematic review
Paper
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Paper
Synthesizing Rolling Bearing Fault Samples in New Conditions: A Framework Based on a Modified CGAN
Paper
Mixing detection on Bitcoin transactions using statistical patterns
Paper
Deep Reinforcement Learning for Machine Scheduling: Methodology, the State-of-The-Art, and Future Directions
Paper
Unveiling the Black Box: A Unified XAI Framework for Signal-Based Deep Learning Models
Paper