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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.

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Showing 13 citing articles:

Fuel cell-based hybrid electric vehicles: An integrated review of current status, key challenges, recommended policies, and future prospects
Mohammad Waseem, Mohammad Amir, G. Sree Lakshmi, et al.
Green Energy and Intelligent Transportation (2023) Vol. 2, Iss. 6, pp. 100121-100121
Open Access | Times Cited: 104
Advancements in hydrogen production through the integration of renewable energy sources with AI techniques: A comprehensive literature review
Mohammad Abdul Baseer, Prashant Kumar, Erick Giovani Sperandio Nascimento
Applied Energy (2025) Vol. 383, pp. 125354-125354
Closed Access | Times Cited: 5
Advancements and challenges of fuel cell integration in electric vehicles: A comprehensive analysis
Manpreet Singh, Manish Kumar Singla, Murodbek Safaraliev, et al.
International Journal of Hydrogen Energy (2024) Vol. 88, pp. 1386-1397
Closed Access | Times Cited: 7
Enhancing reliability and lifespan of PEM fuel cells through neural network-based fault detection and classification
Mahmoud Dhimish, Xing Zhao
International Journal of Hydrogen Energy (2023) Vol. 48, Iss. 41, pp. 15612-15625
Open Access | Times Cited: 16
Optimising pre-reforming for quality r-SOC syngas preparation using artificial intelligence (AI) based machine learning (ML)
Murphy M. Peksen, H. Spliethoff
International Journal of Hydrogen Energy (2023) Vol. 48, Iss. 62, pp. 24002-24017
Closed Access | Times Cited: 8
Empowering Fuel Cell Electric Vehicles Towards Sustainable Transportation: An Analytical Assessment, Emerging Energy Management, Key Issues, and Future Research Opportunities
Tuhibur Rahman, Md. Sazal Miah, Tahia F. Karim, et al.
World Electric Vehicle Journal (2024) Vol. 15, Iss. 11, pp. 484-484
Open Access | Times Cited: 2
Material and Performance Optimisation for Syngas Preparation Using Artificial Intelligence (AI)-Based Machine Learning (ML)
Murphy M. Peksen
Hydrogen (2023) Vol. 4, Iss. 3, pp. 474-492
Open Access | Times Cited: 6
State-of-the-Art Review on the Aspects of Martensitic Alloys Studied via Machine Learning
Upadesh Subedi, Sachin Poudel, Khem Gyanwali, et al.
Metals (2022) Vol. 12, Iss. 11, pp. 1884-1884
Open Access | Times Cited: 7
The Application of Machine Learning for Green Hydrogen Production
Wafa Taief, Amani Al‐Othman, Muhammad Tawalbeh
Elsevier eBooks (2024)
Closed Access | Times Cited: 1
Smart monitoring and control systems for hydrogen fuel cells using AI
Somtochukwu Godfrey Nnabuife, Chinonyelum Udemu, Abdulhammed K. Hamzat, et al.
International Journal of Hydrogen Energy (2024) Vol. 110, pp. 704-726
Open Access
Exploring Power-to-X Value Chains: A Bibliometric Analysis
Maija Luukka, Timo Kärri
(2024)
Closed Access
CFD and Artificial Intelligence-Based Machine Learning Synergy for the Assessment of Syngas-Utilizing Pre-Reformer in r-SOC Technology Advancement
Murphy M. Peksen
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10181-10181
Open Access
DIGITALISED NONWOVEN MANUFACTURING FOR REDUCED ENERGY CONSUMPTION AND EFFICIENT PRODUCTION RATES
Murphy M. Peksen, Banu Nergıs, Cevza Candan, et al.
Tekstil ve Mühendis (2023) Vol. 30, Iss. 131, pp. 226-230
Open Access
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