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 predictive model based on political optimizer for eco-friendly MQL-turning of AISI 4340 alloy with nano-lubricants
Ammar H. Elsheikh, Mohamed Abd Elaziz, Sudhansu Ranjan Das, et al.
Journal of Manufacturing Processes (2021) Vol. 67, pp. 562-578
Closed Access | Times Cited: 132

Showing 1-25 of 132 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

Influence of duplex jets MQL and nano-MQL cooling system on machining performance of Nimonic 80A
Mehmet Erdi Korkmaz, Munish Kumar Gupta, Mehmet Boy, et al.
Journal of Manufacturing Processes (2021) Vol. 69, pp. 112-124
Closed Access | Times Cited: 109

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

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

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

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

A Critical Overview of Working Fluids in Organic Rankine, Supercritical Rankine, and Supercritical Brayton Cycles Under Various Heat Grade Sources
A. S. M. Arifur Chowdhury, M. Monjurul Ehsan
International Journal of Thermofluids (2023) Vol. 20, pp. 100426-100426
Open Access | Times Cited: 46

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

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

Hybrid quantum particle swarm optimization and variable neighborhood search for flexible job-shop scheduling problem
Yuanxing Xu, Mengjian Zhang, Ming Yang, et al.
Journal of Manufacturing Systems (2024) Vol. 73, pp. 334-348
Closed Access | Times Cited: 22

Modeling ultrasonic welding of polymers using an optimized artificial intelligence model using a gradient-based optimizer
Ammar H. Elsheikh, Mohamed Abd Elaziz, Arungalai S. Vendan
Welding in the World (2021) Vol. 66, Iss. 1, pp. 27-44
Closed Access | Times Cited: 93

A new fine-tuned random vector functional link model using Hunger games search optimizer for modeling friction stir welding process of polymeric materials
Waheed Sami Abushanab, Mohamed Abd Elaziz, Emad Ghandourah, et al.
Journal of Materials Research and Technology (2021) Vol. 14, pp. 1482-1493
Closed Access | Times Cited: 87

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

Fabrication techniques of polymeric nanocomposites: A comprehensive review
Abdallah Kamal, Mayar Ashmawy, S. Shanmugan, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2021) Vol. 236, Iss. 9, pp. 4843-4861
Closed Access | Times Cited: 79

Modeling of drilling process of GFRP composite using a hybrid random vector functional link network/parasitism-predation algorithm
Ammar H. Elsheikh, Mohamed Abd Elaziz, B. Ramesh, et al.
Journal of Materials Research and Technology (2021) Vol. 14, pp. 298-311
Open Access | Times Cited: 73

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

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

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