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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:

A new optimized artificial neural network model to predict thermal efficiency and water yield of tubular solar still
Essam B. Moustafa, Ahmed H. Hammad, Ammar H. Elsheikh
Case Studies in Thermal Engineering (2021) Vol. 30, pp. 101750-101750
Open Access | Times Cited: 141

Showing 1-25 of 141 citing articles:

Applications of machine learning in friction stir welding: Prediction of joint properties, real-time control and tool failure diagnosis
Ammar H. Elsheikh
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105961-105961
Closed Access | Times Cited: 135
Bistable Morphing Composites for Energy-Harvesting Applications
Ammar H. Elsheikh
Polymers (2022) Vol. 14, Iss. 9, pp. 1893-1893
Open Access | Times Cited: 124
The latest innovative avenues for the utilization of artificial Intelligence and big data analytics in water resource management
Hesam Kamyab, Tayebeh Khademi, Shreeshivadasan Chelliapan, et al.
Results in Engineering (2023) Vol. 20, pp. 101566-101566
Open Access | Times Cited: 113
Predicting Characteristics of Dissimilar Laser Welded Polymeric Joints Using a Multi-Layer Perceptrons Model Coupled with Archimedes Optimizer
Essam B. Moustafa, Ammar H. Elsheikh
Polymers (2023) Vol. 15, Iss. 1, pp. 233-233
Open Access | Times Cited: 95
Machine learning-based prediction and augmentation of dish solar distiller performance using an innovative convex stepped absorber and phase change material with nanoadditives
Ahmad Bamasag, Fadl A. Essa, Z.M. Omara, et al.
Process Safety and Environmental Protection (2022) Vol. 162, pp. 112-123
Closed Access | Times Cited: 93
Water distillation tower: Experimental investigation, economic assessment, and performance prediction using optimized machine-learning model
Ammar H. Elsheikh, Emad M.S. El‐Said, Mohamed Abd Elaziz, et al.
Journal of Cleaner Production (2023) Vol. 388, pp. 135896-135896
Closed Access | Times Cited: 92
A coupled artificial neural network with artificial rabbits optimizer for predicting water productivity of different designs of solar stills
Abdulmohsen Alsaiari, Essam B. Moustafa, Hesham Alhumade, et al.
Advances in Engineering Software (2022) Vol. 175, pp. 103315-103315
Closed Access | Times Cited: 88
Predicting kerf quality characteristics in laser cutting of basalt fibers reinforced polymer composites using neural network and chimp optimization
I.M.R. Najjar, A.M. Sadoun, Mohamed Abd Elaziz, et al.
Alexandria Engineering Journal (2022) Vol. 61, Iss. 12, pp. 11005-11018
Open Access | Times Cited: 86
Prediction of Complex Stock Market Data Using an Improved Hybrid EMD-LSTM Model
Muhammad Ali, Dost Muhammad Khan, Huda M. Alshanbari, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1429-1429
Open Access | Times Cited: 66
Novel Design of Double Slope Solar Distiller with Prismatic Absorber Basin, Linen Wicks, and Dual Parallel Spraying Nozzles: Experimental Investigation and Energic–Exergic-Economic Analyses
Mohamed E. Zayed, Abdallah Kamal, Mohamed Ragab Diab, et al.
Water (2023) Vol. 15, Iss. 3, pp. 610-610
Open Access | Times Cited: 57
Computational study of heat transfer enhancement using porous foams with phase change materials: A comparative review
E A Z Hamidi, P. Ganesan, R.K. Sharma, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 176, pp. 113196-113196
Closed Access | Times Cited: 56
Deep learning-based multistep ahead wind speed and power generation forecasting using direct method
Maryam Yaghoubirad, Narjes Azizi, Meisam Farajollahi, et al.
Energy Conversion and Management (2023) Vol. 281, pp. 116760-116760
Closed Access | Times Cited: 50
Performance enhancement of a tubular solar still by using stepped basins: An experimental approach
Mahmoud S. El-Sebaey, Ahmed Hegazy, Fadl A. Essa
Journal of Cleaner Production (2024) Vol. 437, pp. 140746-140746
Closed Access | Times Cited: 42
Performance prediction of aluminum and polycarbonate solar stills with air cavity using an optimized neural network model by golden jackal optimizer
Emad Ghandourah, Y. S. Prasanna, Ammar H. Elsheikh, et al.
Case Studies in Thermal Engineering (2023) Vol. 47, pp. 103055-103055
Open Access | Times Cited: 41
Innovative solar distillation system with prismatic absorber basin: Experimental analysis and LSTM machine learning modeling coupled with great wall construction algorithm
Ammar H. Elsheikh, Mohamed E. Zayed, Ali M. Aboghazala, et al.
Process Safety and Environmental Protection (2024) Vol. 186, pp. 1120-1133
Closed Access | Times Cited: 41
Application of machine learning modeling in prediction of solar still performance: A comprehensive survey
A.S. Abdullah, Abanob Joseph, A.W. Kandeal, et al.
Results in Engineering (2024) Vol. 21, pp. 101800-101800
Open Access | Times Cited: 37
A comprehensive analysis of the emerging modern trends in research on photovoltaic systems and desalination in the era of artificial intelligence and machine learning
Laxmikant D. Jathar, Keval Chandrakant Nikam, Umesh V. Awasarmol, et al.
Heliyon (2024) Vol. 10, Iss. 3, pp. e25407-e25407
Open Access | Times Cited: 27
Productivity prediction of a spherical distiller using a machine learning model and triangulation topology aggregation optimizer
Mohamed Abd Elaziz, Fadl A. Essa, Hassan A. Khalil, et al.
Desalination (2024) Vol. 585, pp. 117744-117744
Closed Access | Times Cited: 22
A technical appraisal of solar photovoltaic-integrated single slope single basin solar still for simultaneous energy and water generation
S. Shanmugan, Karrar A. Hammoodi, T. Eswarlal, et al.
Case Studies in Thermal Engineering (2024) Vol. 54, pp. 104032-104032
Open Access | Times Cited: 18
Comprehensive study of the artificial intelligence applied in renewable energy
Aseel Bennagi, Obaida AlHousrya, Daniel Tudor Cotfas, et al.
Energy Strategy Reviews (2024) Vol. 54, pp. 101446-101446
Open Access | Times Cited: 15
Augmentation of the tubular distiller performance via hot air injection from a parabolic trough collector, nanocoating, and nanofluid
A.W. Kandeal, Ahmed A. El‐Naggar, Mosaad R. Sharaby, et al.
Solar Energy (2024) Vol. 277, pp. 112743-112743
Closed Access | Times Cited: 14
Performance enhancement and economic analysis of pyramid solar still with corrugated absorber plate and conventional solar still: A case study
Emad Ghandourah, Hitesh Panchal, Othman Fallatah, et al.
Case Studies in Thermal Engineering (2022) Vol. 35, pp. 101966-101966
Open Access | Times Cited: 64
Optimizing the thermal performance of solar energy devices using meta-heuristic algorithms: A critical review
Asif Afzal, Abdulrajak Buradi, Ravindra Jilte, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 173, pp. 112903-112903
Closed Access | Times Cited: 64
Modeling of a solar-powered thermoelectric air-conditioning system using a random vector functional link network integrated with jellyfish search algorithm
Rolla Almodfer, Mohamed E. Zayed, Mohamed Abd Elaziz, et al.
Case Studies in Thermal Engineering (2022) Vol. 31, pp. 101797-101797
Open Access | Times Cited: 61
Performance improvement of solar distiller using hang wick, reflectors and phase change materials enriched with nano-additives
Waheed Sami Abushanab, Ammar H. Elsheikh, Emad Ghandourah, et al.
Case Studies in Thermal Engineering (2022) Vol. 31, pp. 101856-101856
Open Access | Times Cited: 60
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