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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Integrating Machine Learning and Model Predictive Control for automotive applications: A review and future directions
Armin Norouzi, Hamed Heidarifar, Hoseinali Borhan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105878-105878
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Autonomous Vehicles: Evolution of Artificial Intelligence and the Current Industry Landscape
Divya Garikapati, Sneha Sudhir Shetiya
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 4, pp. 42-42
Open Access | Times Cited: 22
An optimization-centric review on integrating artificial intelligence and digital twin technologies in manufacturing
Vispi Karkaria, Ying-Kuan Tsai, Yi-Ping Chen, et al.
Engineering Optimization (2025), pp. 1-47
Open Access | Times Cited: 2
Data-driven prediction of temperature variations in an open cathode proton exchange membrane fuel cell stack using Koopman operator
Da Huo, Carrie M. Hall
Energy and AI (2023) Vol. 14, pp. 100289-100289
Open Access | Times Cited: 25
Evolving Electric Mobility Energy Efficiency: In-Depth Analysis of Integrated Electronic Control Unit Development in Electric Vehicles
Syed Naqvi, Harun Jamil, Naeem Iqbal, et al.
IEEE Access (2024) Vol. 12, pp. 15957-15983
Open Access | Times Cited: 6
A hybrid fault diagnostic approach using operational transfer path analysis and denoising deep learning with remote sensors: Application to electric vehicles
Jeongmin Oh, Donghwi Yoo, Chungeon Kim, et al.
Expert Systems with Applications (2025), pp. 126470-126470
Closed Access
Electric machine co-optimization for EV drive technology development: Integrating Bayesian optimization and nonlinear model predictive control
Christoph Wellmann, Abdul Rahman Khaleel, Tobias Brinkmann, et al.
eTransportation (2025), pp. 100392-100392
Closed Access
Efficient data-driven predictive control of nonlinear systems: A review and perspectives
Xiaojie Li, Meng Yan, Xuewen Zhang, et al.
Digital Chemical Engineering (2025), pp. 100219-100219
Open Access
A Survey of Validation and Verification Methods for AI-Based Vehicle Functions
Turgay Aslandere, Umut Durak
SAE International Journal of Connected and Automated Vehicles (2025) Vol. 8, Iss. 4
Closed Access
Predictive model-based multi-objective optimization with life-long meta-learning for designing unreliable production systems
Ehsan Mahmoodi, Masood Fathi, Amos H.C. Ng, et al.
Computers & Operations Research (2025), pp. 107011-107011
Open Access
Explainable reinforcement learning for powertrain control engineering
Claude Laflamme, J. Doppler, B. Palvolgyi, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110135-110135
Open Access
Thermodynamic Optimization of Building HVAC Systems Through Dynamic Modeling and Advanced Machine Learning
Samuel Moveh, Emmanuel Alejandro Merchán-Cruz, Ahmed Ibrahim, et al.
Sustainability (2025) Vol. 17, Iss. 5, pp. 1955-1955
Open Access
Real-time process safety and systems decision-making toward safe and smart chemical manufacturing
Austin Braniff, Sahithi Srijana Akundi, Yuanxing Liu, et al.
Digital Chemical Engineering (2025), pp. 100227-100227
Open Access
A hybrid CFD and machine learning study of energy performance of photovoltaic systems with a porous collector: Model development and validation
Yinling Wang, Lei Yu, Mazhar Ali, et al.
Case Studies in Thermal Engineering (2025), pp. 105998-105998
Open Access
Optimal design of an adaptive energy management strategy for a fuel cell tractor operating in ports
Simone Lombardi, Giovanni Di Ilio, Laura Tribioli, et al.
Applied Energy (2023) Vol. 352, pp. 121917-121917
Closed Access | Times Cited: 13
Achieving accurate trajectory predicting and tracking for autonomous vehicles via reinforcement learning-assisted control approaches
Tan Guangwen, Mengshan Li, Hou Biyu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108773-108773
Closed Access | Times Cited: 4
Advanced Sensor Technologies in CAVs for Traditional and Smart Road Condition Monitoring: A Review
Masoud Khanmohamadi, Marco Guerrieri
Sustainability (2024) Vol. 16, Iss. 19, pp. 8336-8336
Open Access | Times Cited: 3
Data-driven learning-based Model Predictive Control for energy-intensive systems
Jiawei Chen, Gangyan Xu, Ziye Zhou
Advanced Engineering Informatics (2023) Vol. 58, pp. 102208-102208
Closed Access | Times Cited: 9
A Comprehensive Survey on Software as a Service (SaaS) Transformation for the Automotive Systems
David Fernández Blanco, Frédéric Le Mouël, Trista Lin, et al.
IEEE Access (2023) Vol. 11, pp. 73688-73753
Open Access | Times Cited: 8
A Review on Various Control Strategies and Algorithms in Vehicle Suspension Systems
Aadil Arshad Ferhath, Kamalakkannan Kasi
International Journal of Automotive and Mechanical Engineering (2023) Vol. 20, Iss. 3, pp. 10720-10735
Open Access | Times Cited: 7
Strength and manufacturability enhancement of a composite automotive component via an integrated finite element/artificial neural network multi-objective optimization approach
João Henrique Fonseca, Woojung Jang, Dosuck Han, et al.
Composite Structures (2023) Vol. 327, pp. 117694-117694
Closed Access | Times Cited: 7
Data-Driven Model Predictive Techniques for Unknown Linear Time Invariant Systems
Majid Ghorbani
IEEE Control Systems Letters (2024) Vol. 8, pp. 199-204
Closed Access | Times Cited: 2
Nonlinear model predictive control—Cross-coupling control with deep neural network feedforward for multi-hydraulic system synchronization control
Dongyi Li, Kun Lü, Yong Cheng, et al.
ISA Transactions (2024)
Open Access | Times Cited: 2
Machine learning applications in automotive engineering: Enhancing vehicle safety and performance
Surajit Mondal, Shankha Shubhra Goswami
Journal of Process Management New Technologies (2024) Vol. 12, Iss. 1-2, pp. 61-71
Open Access | Times Cited: 2
Temporal dilated convolution and nonlinear autoregressive network for predicting solid oxide fuel cell performance
Mohamadali Tofigh, A. Kharazmi, Daniel J. Smith, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108994-108994
Open Access | Times Cited: 2
Model predictive control of switched nonlinear systems using online machine learning
Cheng Hu, Zhe Wu
Process Safety and Environmental Protection (2024) Vol. 209, pp. 221-236
Closed Access | Times Cited: 2
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