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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:

Fine-tuned artificial intelligence model using pigeon optimizer for prediction of residual stresses during turning of Inconel 718
Ammar H. Elsheikh, T. Muthuramalingam, S. Shanmugan, et al.
Journal of Materials Research and Technology (2021) Vol. 15, pp. 3622-3634
Open Access | Times Cited: 83

Showing 1-25 of 83 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
Bistable Morphing Composites for Energy-Harvesting Applications
Ammar H. Elsheikh
Polymers (2022) Vol. 14, Iss. 9, pp. 1893-1893
Open Access | Times Cited: 125
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
Productivity forecasting of solar distiller integrated with evacuated tubes and external condenser using artificial intelligence model and moth-flame optimizer
Ammar H. Elsheikh, Hitesh Panchal, Mahmoud Ahmadein, et al.
Case Studies in Thermal Engineering (2021) Vol. 28, pp. 101671-101671
Open Access | Times Cited: 104
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
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
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
Investigation and TGRA based optimization of laser beam drilling process during machining of Nickel Inconel 718 alloy
Ghazi Alsoruji, T. Muthuramalingam, Essam B. Moustafa, et al.
Journal of Materials Research and Technology (2022) Vol. 18, pp. 720-730
Open Access | Times Cited: 70
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
Enhancement and prediction of a stepped solar still productivity integrated with paraffin wax enriched with nano-additives
Essam Banoqitah, Ravishankar Sathyamurthy, Essam B. Moustafa, et al.
Case Studies in Thermal Engineering (2023) Vol. 49, pp. 103215-103215
Open Access | Times Cited: 41
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
Experimental study, modeling, and parametric optimization on abrasive waterjet drilling of YSZ-coated Inconel 718 superalloy
Balaji Vasudevan, Lenin Nagarajan, L. Natrayan, et al.
Journal of Materials Research and Technology (2024) Vol. 29, pp. 4662-4675
Open Access | Times Cited: 15
Evaluating the effect of minimum quantity lubrication during hard turning of AISI D3 steel using vegetable oil enriched with nano-additives
Ahmed Mohamed Mahmoud Ibrahim, Mohamed A.E. Omer, Sudhansu Ranjan Das, et al.
Alexandria Engineering Journal (2022) Vol. 61, Iss. 12, pp. 10925-10938
Closed Access | Times Cited: 64
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
Kerf characteristics during CO2 laser cutting of polymeric materials: Experimental investigation and machine learning-based prediction
Abdulsalam M. Alhawsawi, Essam B. Moustafa, Manabu Fujii, et al.
Engineering Science and Technology an International Journal (2023) Vol. 46, pp. 101519-101519
Open Access | Times Cited: 33
Machine learning-aided modeling for predicting freshwater production of a membrane desalination system: A long-short-term memory coupled with election-based optimizer
Mohamed Abd Elaziz, Mohamed E. Zayed, H. Abdelfattah, et al.
Alexandria Engineering Journal (2023) Vol. 86, pp. 690-703
Open Access | Times Cited: 30
Modelling of thermo-hydraulic behavior of a helical heat exchanger using machine learning model and fire hawk optimizer
Mohammed Mudhsh, Emad M.S. El‐Said, Ahmad O. Aseeri, et al.
Case Studies in Thermal Engineering (2023) Vol. 49, pp. 103294-103294
Open Access | Times Cited: 25
AI-based optimisation of total machining performance: A review
Katrin Ullrich, Magnus von Elling, Kevin Gutzeit, et al.
CIRP journal of manufacturing science and technology (2024) Vol. 50, pp. 40-54
Open Access | Times Cited: 13
Artificial Intelligence for Forecasting the Prevalence of COVID-19 Pandemic: An Overview
Ammar H. Elsheikh, Amal I. Saba, Hitesh Panchal, et al.
Healthcare (2021) Vol. 9, Iss. 12, pp. 1614-1614
Open Access | Times Cited: 45
Machinability Investigation of Nitronic 60 Steel Turning Using SiAlON Ceramic Tools under Different Cooling/Lubrication Conditions
Smita Padhan, Sudhansu Ranjan Das, Anshuman Das, et al.
Materials (2022) Vol. 15, Iss. 7, pp. 2368-2368
Open Access | Times Cited: 31
Performance prediction of solar still with a high-frequency ultrasound waves atomizer using random vector functional link/heap-based optimizer
Mohamed Abd Elaziz, Emad M.S. El‐Said, Ammar H. Elsheikh, et al.
Advances in Engineering Software (2022) Vol. 170, pp. 103142-103142
Closed Access | Times Cited: 28
Probabilistic prediction of wind speed using an integrated deep belief network optimized by a hybrid multi-objective particle swarm algorithm
Snigdha Sarangi, P.K. Dash, Ranjeeta Bisoi
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107034-107034
Closed Access | Times Cited: 21
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