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:

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: 25

Showing 25 citing articles:

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: 38

Energy and economic analysis of building integrated photovoltaic thermal system: Seasonal dynamic modeling assisted with machine learning-aided method and multi-objective genetic optimization
Bashar Shboul, Mohamed E. Zayed, Waqar Muhammad Ashraf, et al.
Alexandria Engineering Journal (2024) Vol. 94, pp. 131-148
Open Access | Times Cited: 21

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: 20

Thermo-physical characteristics and storage material compatibility in nano-enhanced phase change materials for solar distillation applications: A critical assessment
Akashdeep Negi, Lalit Ranakoti, Prabhakar Bhandari, et al.
Solar Energy Materials and Solar Cells (2024) Vol. 271, pp. 112870-112870
Closed Access | Times Cited: 9

Enhancement and optimization of membrane distillation processes: A systematic review of influential mechanisms, optimization and applications
Qing Guo, Yueyu Liu, Tingting Li, et al.
Desalination (2024) Vol. 586, pp. 117862-117862
Closed Access | Times Cited: 9

Deep neural network model for predicting thermal-hydraulic performance of a solar air heater with artificial roughness: Sensitivity, generalization capacity, and computational efficiency
Siddharth Suman, Sarvapriya Singh, Santanu Mitra, et al.
Process Safety and Environmental Protection (2024) Vol. 188, pp. 821-833
Open Access | Times Cited: 6

Review of Machine Learning applications in Additive Manufacturing
Sirajudeen Inayathullah, Raviteja Buddala
Results in Engineering (2024) Vol. 25, pp. 103676-103676
Open Access | Times Cited: 6

An enhanced data-driven framework for subsurface fluids compositional equilibrium distribution modeling
Haoshu Wu, Bin Gong, Huanquan Pan, et al.
Petroleum Science and Technology (2025), pp. 1-21
Closed Access

Design and development of a novel and cost effective modified Compound parabolic trough collector
Durgesh Kumar, Punit V. Gharat, Vishwanath H. Dalvi, et al.
Energy Conversion and Management (2024) Vol. 306, pp. 118285-118285
Closed Access | Times Cited: 3

Harnessing fluorescence resonance energy transfer for improved solar still performance with zinc oxide nanoparticles and activated carbon
Ghassan Mousa, Ali Basem, S. Shanmugan, et al.
Applied Materials Today (2024) Vol. 38, pp. 102196-102196
Closed Access | Times Cited: 3

Recent advances in membrane distillation hybrids for energy-efficient process configurations: Technology categorization, operational parameters identification, and energy recovery strategies
S.M. Shalaby, Mohamed E. Zayed, Farid A. Hammad, et al.
Process Safety and Environmental Protection (2024) Vol. 190, pp. 817-838
Closed Access | Times Cited: 3

Predicting air quality index using attention hybrid deep learning and quantum-inspired particle swarm optimization
Anh Tuan Nguyen, Duy Hoang Pham, Bee Lan Oo, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2

Performance Assessment of Hybrid Adsorption/Humidification-Dehumidification Desalination Cycle Powered by Dish/Stirling Concentrated Solar Power System for Sustainable Freshwater Production Maximization
Moustafa M. Aboelmaaref, Mohamed E. Zayed, Yang Li, et al.
Process Safety and Environmental Protection (2024)
Closed Access | Times Cited: 2

Enhancing predictive accuracy for Cr(VI) removal in polymer inclusion membranes: A comparative study of machine learning models
Abdelhalim Fetimi, Ounissa Kebiche-Senhadji, Yacine Benguerba, et al.
Inorganica Chimica Acta (2024) Vol. 567, pp. 122050-122050
Closed Access | Times Cited: 1

Estimation of best geometric and operational parameters of a nanophotonics-enabled solar membrane desalination system: A numerical investigation
P. Shakya, Jishnu Bhattacharya
Solar Energy (2024) Vol. 278, pp. 112757-112757
Closed Access | Times Cited: 1

Prediction of heat exchanger efficiency using laminar heat transfer in swirling flow of radiated graphene oxide with nano fluid additives using machine learning technique
Shalini M. Patil, Abilash Radhakrishnan, Sanjay R. Pawar, et al.
Numerical Heat Transfer Part B Fundamentals (2024), pp. 1-19
Closed Access | Times Cited: 1

Deep learning with improved hybrid neuro-turning for predictive control of flux based on experimental DCMD module design of water desalination system
Osman Shamet, Sani I. Abba, Jamil Usman, et al.
Journal of Water Process Engineering (2024) Vol. 65, pp. 105835-105835
Closed Access | Times Cited: 1

Election-based optimization algorithm with deep learning-enabled false data injection attack detection in cyber-physical systems
Hend Khalid Alkahtani, Nuha Alruwais, Asma Alshuhail, et al.
AIMS Mathematics (2024) Vol. 9, Iss. 6, pp. 15076-15096
Open Access

Different Configuration Comparisons for Seawater Desalination Systems: Performance Analyses
Sepehr Shahgholian, Mahdi Taheri, Mehdi Jahangiri, et al.
Journal of Engineering (2024) Vol. 2024, Iss. 1
Closed Access

Development of adaptive neuro-fuzzy inference system and stochastic simulation for mean droplet size modeling in rotatory agitated columns under different mass transfer scenarios
Benyamin Shakib, Mehdi Khiadani, Martina Petrániková, et al.
International Communications in Heat and Mass Transfer (2024) Vol. 158, pp. 107839-107839
Closed Access

Developing an efficient explainable artificial intelligence approach for accurate reverse osmosis desalination plant performance prediction: application of SHAP analysis
Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, et al.
Engineering Applications of Computational Fluid Mechanics (2024) Vol. 18, Iss. 1
Open Access

Influence of membrane characteristics and operational parameters on predictive control of permeance and rejection rate using explainable artificial intelligence (XAI)
Abdulhayat M. Jibrin, Imtiaz Afzal Khan, Abba Bashir, et al.
Next research. (2024) Vol. 2, Iss. 1, pp. 100100-100100
Closed Access

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