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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:

Low-cost bilayered structure for improving the performance of solar stills: Performance/cost analysis and water yield prediction using machine learning
Ammar H. Elsheikh, S. Shanmugan, Ravishankar Sathyamurthy, et al.
Sustainable Energy Technologies and Assessments (2021) Vol. 49, pp. 101783-101783
Open Access | Times Cited: 115

Showing 1-25 of 115 citing articles:

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: 143
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: 136
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: 96
Performance assessment of a novel solar distiller with a double slope basin covered by coated wick with lanthanum cobalt oxide nanoparticles
Emad Ghandourah, A. Sangeetha, S. Shanmugan, et al.
Case Studies in Thermal Engineering (2022) Vol. 32, pp. 101859-101859
Open Access | Times Cited: 95
Prediction of strength and analysis in self-compacting concrete using machine learning based regression techniques
Surya Abisek Rajakarunakaran, Arun Raja Lourdu, Suresh Muthusamy, et al.
Advances in Engineering Software (2022) Vol. 173, pp. 103267-103267
Closed Access | Times Cited: 94
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: 89
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: 70
Experimental assessment of new designed stepped solar still with Fe3O4 + graphene oxide + paraffin as nanofluid under constant magnetic field
Seyed Sina Adibi Toosi, Hamid Reza Goshayeshi, Iman Zahmatkesh, et al.
Journal of Energy Storage (2023) Vol. 62, pp. 106795-106795
Open Access | Times Cited: 47
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: 43
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
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: 30
Performance optimization of energy-efficient solar absorbers for thermal energy harvesting in modern industrial environments using a solar deep learning model
Ammar Armghan, J. Logeshwaran, S. Raja, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e26371-e26371
Open Access | Times Cited: 26
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: 23
A critical review on triangular pyramid, weir–type, spherical, and hemispherical solar water distiller conceptions
Omar Bait
Solar Energy (2024) Vol. 269, pp. 112322-112322
Closed Access | Times Cited: 21
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: 65
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: 62
SiO2/TiO2 nanolayer synergistically trigger thermal absorption inflammatory responses materials for performance improvement of stepped basin solar still natural distiller
A. Mohandass Gandhi, S. Shanmugan, Ravinder Kumar, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 52, pp. 101974-101974
Open Access | Times Cited: 53
Performance prediction of a reverse osmosis unit using an optimized Long Short-term Memory model by hummingbird optimizer
Fadl A. Essa, Mohamed Abd Elaziz, Mohammed Azmi Al‐Betar, et al.
Process Safety and Environmental Protection (2022) Vol. 169, pp. 93-106
Open Access | Times Cited: 53
Predicting the yield of stepped corrugated solar distiller using kernel-based machine learning models
Mohamed E. Zayed, Vikrant P. Katekar, Rajesh Kumar Tripathy, et al.
Applied Thermal Engineering (2022) Vol. 213, pp. 118759-118759
Closed Access | Times Cited: 52
Application of Machine Learning Approaches to Predict the Strength Property of Geopolymer Concrete
Rongchuan Cao, Zheng Fang, Man Jin, et al.
Materials (2022) Vol. 15, Iss. 7, pp. 2400-2400
Open Access | Times Cited: 40
Exploring the growth of sustainable energy Technologies: A review
Muhammad Shahbaz, Aaliyah Siddiqui, Mujahid Siddiqui, et al.
Sustainable Energy Technologies and Assessments (2023) Vol. 57, pp. 103157-103157
Closed Access | Times Cited: 40
Deep learning algorithms were used to generate photovoltaic renewable energy in saline water analysis via an oxidation process
Wongchai Anupong, Abolfazl Mehbodniya, Julian Webber, et al.
Journal of Water Reuse and Desalination (2023)
Open Access | Times Cited: 33
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