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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 1-25 of 42 citing articles:

Integration of Emerging Technologies in Next-Generation Electric Vehicles: Evolution, Advancements, and Regulatory Prospects
Eliyad Yamini, Mahdi Zarnoush, Mohammadamin Jalilvand, et al.
Results in Engineering (2025), pp. 104082-104082
Open Access | Times Cited: 3
A decreasing failure rate model with a novel approach to enhance the artificial neural network's structure for engineering and disease data analysis
Tabassum Naz Sindhu, Andaç Batur Çolak, Showkat Ahmad Lone, et al.
Tribology International (2023) Vol. 192, pp. 109231-109231
Closed Access | Times Cited: 26
State of charge estimation for electric vehicles using random forest
Mohd Herwan Sulaiman, Zuriani Mustaffa
Green Energy and Intelligent Transportation (2024) Vol. 3, Iss. 5, pp. 100177-100177
Open Access | Times Cited: 13
Understanding Lithium-Ion Battery Management Systems in Electric Vehicles: Environmental and Health Impacts, Comparative Study, and Future Trends: A Review
R. Suganya, L. M. I. Leo Joseph, Sreedhar Kollem
Results in Engineering (2024), pp. 103047-103047
Open Access | Times Cited: 12
Optimizing DOCRs coordination when synergizing energy management with V2G using innovative optimization algorithms
A. Nagy, M.M. Salama, H. A. AbdelHadi, et al.
Results in Engineering (2024) Vol. 22, pp. 102196-102196
Open Access | Times Cited: 11
A comparison of Holts-Winter and Artificial Neural Network approach in forecasting: A case study for tent manufacturing industry
George Rumbe, Mohammad M. Hamasha, Sahar ALMashaqbeh
Results in Engineering (2024) Vol. 21, pp. 101899-101899
Open Access | Times Cited: 9
Intelligent Monitoring Systems for Electric Vehicle Charging
Jaime A. Martins, João M. F. Rodrigues
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2741-2741
Open Access | Times Cited: 1
Optimizing the performance of six-phase induction motor-powered electric vehicles with fuzzy-PID and DTC
Mohamed I. Abdelwanis
Neural Computing and Applications (2025)
Open Access | Times Cited: 1
Enhancing sediment transport predictions through machine learning-based multi-scenario regression models
Mohammad Abdullah Almubaidin, Sarmad Dashti Latif, Kalaiarasan Balan, et al.
Results in Engineering (2023) Vol. 20, pp. 101585-101585
Open Access | Times Cited: 19
Design approaches for Li-ion battery packs: A review
Paolo Cicconi, Pradeep Kumar
Journal of Energy Storage (2023) Vol. 73, pp. 109197-109197
Open Access | Times Cited: 18
High power and thermal-stable of graphene modified LiNi0.8Mn0.1Co0.1O2 cathode by simple method for fast charging-enable lithium ion battery
Rosana Budi Setyawati, Khikmah Nur Rikhy Stulasti, Yazid Rijal Azinuddin, et al.
Results in Engineering (2023) Vol. 21, pp. 101651-101651
Open Access | Times Cited: 14
Digital-Twin-Inspired IoT-Assisted Intelligent Performance Analysis Framework for Electric Vehicles
Shtwai Alsubai, Abdullah Alqahtani, Abed Alanazi, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 10, pp. 18880-18887
Closed Access | Times Cited: 4
Advanced energy management system with road gradient consideration for fuel cell hybrid electric vehicles
Ali Sayah, Marwa Ben Saïd-Romdhane, Sondes Skander-Mustapha
Results in Engineering (2024) Vol. 23, pp. 102721-102721
Open Access | Times Cited: 4
Predicting the state of charge of lithium ion battery in e-vehicles using Box-Jenkins combined artificial neural network model
Glarida Amala Louis, Siddharth Sampathkumar
Deleted Journal (2025) Vol. 7, Iss. 2
Open Access
Machine learning-enhanced analysis of liquid nitrogen spreading on superheated walls: An artificial neural network-based investigation
Andaç Batur Çolak
Thermal Science and Engineering Progress (2025), pp. 103392-103392
Closed Access
Energy needs in the transport sector of Jordan: statistical analysis and future projections
Mohammad A. Gharaibeh, Hussein N. Dalgamoni, Anas Z. Batayneh
International Journal of Energy Sector Management (2025)
Closed Access
Enhanced Energy Sharing and Management Between Cross‐Harbour Zero‐Emission Buildings Based on a Combination of Electric Ferries and Deck‐on Electric Vehicles With Grid Integrations
Shijie Zhou, Xinman Guo, Sunliang Cao
International Journal of Energy Research (2025) Vol. 2025, Iss. 1
Open Access
Energy Consumption Optimization through Prediction Models in Buildings using Deep Belief Networks and a modified version of Big Bang-Big Crunch Theory
Senlin Zheng, Yang Liu, Wei Xia, et al.
Building and Environment (2025), pp. 112973-112973
Closed Access
Validation Challenges in Data for Different Diesel Engine Performance Regimes Utilising HVO Fuel: A Study on the Application of Artificial Neural Networks for Emissions Prediction
Jonas Matijošius, Alfredas Rimkus, Alytis Gruodis
Machines (2024) Vol. 12, Iss. 4, pp. 279-279
Open Access | Times Cited: 3
Modeling, analysis and forecasting of the Jordan’s transportation sector energy consumption using artificial neural networks
Mohammad A. Gharaibeh, Ayman Alkhatatbeh
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 3
PyTorch Deep Learning for Food Image Classification with Food Dataset
Iswahyudi Iswahyudi, Djarot Hindarto, Handri Santoso
SinkrOn (2023) Vol. 8, Iss. 4, pp. 2651-2661
Open Access | Times Cited: 9
Impact of Driving Timing and Road Types on the Operating Regions of Electric Two-wheeler Powertrain Components under Indian Road Conditions
Azhaganathan Gurusamy, B. Ashok, Sumiran Ashish Maiskar, et al.
Results in Engineering (2024) Vol. 24, pp. 103303-103303
Open Access | Times Cited: 3
Advancing nanofluid technology: Experimental thermal conductivity measurements and accurate predictive models for yttrium oxide-water nanofluid using neural networks and mathematical correlations
Andaç Batur Çolak
Numerical Heat Transfer Part B Fundamentals (2024), pp. 1-20
Closed Access | Times Cited: 2
Artificial neural networks for the accurate prediction of the thickness of fiber membranes prepared by airflow‐assisted electrostatic spinning
Zhenfeng Ma, Zhaoguang Zheng, Jun Zeng, et al.
Journal of Applied Polymer Science (2024) Vol. 141, Iss. 26
Closed Access | Times Cited: 2
Comparative evaluation of Z source / quasi Z-source direct and indirect matrix converters for PMG based WECS
Kumar Maheswari, R. Bharanikumar, S. Manivannan
Results in Engineering (2024) Vol. 22, pp. 102219-102219
Open Access | Times Cited: 2
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