| Quantum computing for energy systems optimization: Challenges and opportunities A Ajagekar, F You Energy 179, 76-89, 2019 | 215 | 2019 |
| Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems A Ajagekar, T Humble, F You Computers & Chemical Engineering, 106630, 2019 | 153 | 2019 |
| Quantum computing based hybrid deep learning for fault diagnosis in electrical power systems A Ajagekar, F You Applied Energy 303, 117628, 2021 | 61 | 2021 |
| Quantum computing assisted deep learning for fault detection and diagnosis in industrial process systems A Ajagekar, F You Computers & Chemical Engineering 143, 107119, 2020 | 56 | 2020 |
| Quantum computing and quantum artificial intelligence for renewable and sustainable energy: A emerging prospect towards climate neutrality A Ajagekar, F You Renewable and Sustainable Energy Reviews 165, 112493, 2022 | 51 | 2022 |
| Quantum Machine Learning for Finance M Pistoia, SF Ahmad, A Ajagekar, A Buts, S Chakrabarti, D Herman, S Hu, ... 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021 | 48 | 2021 |
| New frontiers of quantum computing in chemical engineering A Ajagekar, F You Korean Journal of Chemical Engineering 39 (4), 811-820, 2022 | 31 | 2022 |
| Energy-efficient AI-based Control of Semi-closed Greenhouses Leveraging Robust Optimization in Deep Reinforcement Learning A Ajagekar, NS Mattson, F You Advances in Applied Energy 9, 100119, 2023 | 28 | 2023 |
| Perspectives of Quantum Computing for Chemical Engineering DE Bernal, A Ajagekar, SM Harwood, ST Stober, D Trenev, F You AIChE Journal, e17651, 2022 | 26 | 2022 |
| Multi-Agent attention-based deep reinforcement learning for demand response in grid-responsive buildings J Xie, A Ajagekar, F You Applied Energy 342, 121162, 2023 | 25 | 2023 |
| Deep reinforcement learning based unit commitment scheduling under load and wind power uncertainty A Ajagekar, F You IEEE Transactions on Sustainable Energy 14 (2), 803-812, 2022 | 24 | 2022 |
| Hybrid Classical-Quantum Optimization Techniques for Solving Mixed-Integer Programming Problems in Production Scheduling A Ajagekar, K Al Hamoud, F You IEEE Transactions on Quantum Engineering 3, 1-16, 2022 | 21 | 2022 |
| Quantum Computing for Process Systems Optimization and Data Analytics A Ajagekar | 9 | 2020 |
| Energy management for demand response in networked greenhouses with multi-agent deep reinforcement learning A Ajagekar, B Decardi-Nelson, F You Applied Energy 355, 122349, 2024 | 8 | 2024 |
| Deep Reinforcement Learning Based Automatic Control in Semi-Closed Greenhouse Systems A Ajagekar, F You IFAC-PapersOnLine 55 (7), 406-411, 2022 | 6 | 2022 |
| Generative ai and process systems engineering: The next frontier B Decardi-Nelson, AS Alshehri, A Ajagekar, F You Computers & Chemical Engineering, 108723, 2024 | 4 | 2024 |
| Molecular design with automated quantum computing-based deep learning and optimization A Ajagekar, F You npj Computational Materials 9 (1), 143, 2023 | 3 | 2023 |
| QUANTUM COMPUTING BASED DEEP LEARNING FOR DETECTION, DIAGNOSIS AND OTHER APPLICATIONS F You, AS Ajagekar US Patent App. 17/796,154, 2023 | 3 | 2023 |
| Fault Diagnosis of Electrical Power Systems with Hybrid Quantum-Classical Deep Learning A Ajagekar, F You Computer Aided Chemical Engineering 50, 1173-1179, 2021 | 3 | 2021 |
| Variational quantum circuit based demand response in buildings leveraging a hybrid quantum-classical strategy A Ajagekar, F You Applied Energy 364, 123244, 2024 | 2 | 2024 |
