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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:

Deep Learning model and Classification Explainability of Renewable energy-driven Membrane Desalination System using Evaporative Cooler
Hanaa Salem, Ibrahim M. El‐Hasnony, A.E. Kabeel, et al.
Alexandria Engineering Journal (2022) Vol. 61, Iss. 12, pp. 10007-10024
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

A holistic review on how artificial intelligence has redefined water treatment and seawater desalination processes
Saikat Sinha Ray, Rohit Kumar Verma, Ashutosh Singh, et al.
Desalination (2022) Vol. 546, pp. 116221-116221
Closed Access | Times Cited: 69
Potential of Explainable Artificial Intelligence in Advancing Renewable Energy: Challenges and Prospects
Van Nhanh Nguyen, W. Tarełko, Prabhakar Sharma, et al.
Energy & Fuels (2024) Vol. 38, Iss. 3, pp. 1692-1712
Closed Access | Times Cited: 46
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
A review of interconnected challenges in the water–energy–food nexus: Urban pollution perspective towards sustainable development
Kazem Javan, Ali Altaee, Saeed Banihashemi, et al.
The Science of The Total Environment (2023) Vol. 912, pp. 169319-169319
Open Access | Times Cited: 32
An Explainable EEG-Based Human Activity Recognition Model Using Machine-Learning Approach and LIME
Iqram Hussain, Rafsan Jany, Richard Boyer, et al.
Sensors (2023) Vol. 23, Iss. 17, pp. 7452-7452
Open Access | Times Cited: 27
Energy Efficiency through the Implementation of an AI Model to Predict Room Occupancy Based on Thermal Comfort Parameters
Shahira Assem Abdel-Razek, Hanaa Salem, Ali Alshehri, et al.
Sustainability (2022) Vol. 14, Iss. 13, pp. 7734-7734
Open Access | Times Cited: 28
Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir
Neural Computing and Applications (2024)
Closed Access | Times Cited: 5
E-Learning Readiness Assessment Using Machine Learning Methods
Mohamed Zine, Fouzi Harrou, Mohammed Terbeche, et al.
Sustainability (2023) Vol. 15, Iss. 11, pp. 8924-8924
Open Access | Times Cited: 13
An explainable AI for green hydrogen production: A deep learning regression model
Rania Ahmed, Sara A. Shehab, Omar M. Elzeki, et al.
International Journal of Hydrogen Energy (2024) Vol. 83, pp. 1226-1242
Closed Access | Times Cited: 5
Machine learning assisted improved desalination pilot system design and experimentation for the circular economy
Waqar Muhammad Ashraf, Muhammad Ahmad Jamil, Ghulam Moeen Uddin, et al.
Journal of Water Process Engineering (2024) Vol. 63, pp. 105535-105535
Open Access | Times Cited: 4
Explainable AI for permeate flux prediction in forward osmosis: SHAP interpretability and theoretical validation for enhanced predictive reliability
Yinseo Song, Jeongwoo Moon, Kiho Park
Desalination (2025), pp. 118551-118551
Closed Access
How to Measure Explainability and Interpretability of Machine Learning Results
Elisabeth Mayrhuber, Bogdan Burlacu, Stephan Winkler
Genetic and evolutionary computation (2025), pp. 357-374
Closed Access
Applications of artificial intelligence for membrane separation: A review
Mehryar Jafari, Christina Tzirtzipi, Bernardo Castro‐Dominguez
Journal of Water Process Engineering (2024) Vol. 68, pp. 106532-106532
Open Access | Times Cited: 2
Smart Attacks Learning Machine Advisor System for Protecting Smart Cities from Smart Threats
Ali Hussein, Omar M. Elzeki, Samir Elmougy
Applied Sciences (2022) Vol. 12, Iss. 13, pp. 6473-6473
Open Access | Times Cited: 11
Development of aggregated random intelligent approach for the modeling of desalination processes
Amin Mahdavi‐Meymand, Wojciech Sulisz
Desalination (2023) Vol. 567, pp. 116990-116990
Closed Access | Times Cited: 6
Classification of Transmission Line Corridor Tree Species Based on Drone Data and Machine Learning
Xiuting Li, Ruirui Wang, Xingwang Chen, et al.
Sustainability (2022) Vol. 14, Iss. 14, pp. 8273-8273
Open Access | Times Cited: 9
A Short Review on Explainable Artificial Intelligence in Renewable Energy and Resources
Betül Ersöz, Şeref Sağıroğlu, Halil İbrahim Bülbül
2022 11th International Conference on Renewable Energy Research and Application (ICRERA) (2022), pp. 247-252
Closed Access | Times Cited: 8
Achieving Environmental sustainability through the adoption of industry 4.0: an exploratory case study within the information technology industry
Mohamed El Merroun, Bartók Istvan Janos, Osama Alkhlaifat
Logistics Supply Chain Sustainability and Global Challenges (2024) Vol. 15, Iss. s1, pp. 10-28
Open Access | Times Cited: 1
Desalination Powered by Renewables: A Challenge and an AI Opportunity
Tawfiq Chekifi, Amine Benmoussa, Moustafa Boukraa
Water Resources Management (2024) Vol. 38, Iss. 14, pp. 5419-5461
Closed Access | Times Cited: 1
A Comprehensive Review of AI Algorithms for Performance Prediction, Optimization, and Process Control in Desalination Systems.
Mahmoud Ibnouf, Hadi Jaber, Hadil Abu Khalifeh, et al.
Desalination and Water Treatment (2024) Vol. 321, pp. 100892-100892
Open Access | Times Cited: 1
Optimizing sustainable desalination plants with advanced ML-based uncertainty analysis
Sani I. Abba, Jamilu Usman, Abdullah Bafaqeer, et al.
Applied Soft Computing (2024), pp. 112624-112624
Closed Access | Times Cited: 1
Machine-Learning-Based Suitability Prediction for Mobile Applications for Kids
Xianjun Meng, Shaomei Li, Muhammad Mohsin Malik, et al.
Sustainability (2022) Vol. 14, Iss. 19, pp. 12400-12400
Open Access | Times Cited: 6
Identification of Transformer Oil incipient Faults Based on the Integration between Different DGA Techniques
Sayed A. Ward, Shimaa Gamal El- Dein Ibrahim, Adel El-Faraskoury, et al.
Delta University Scientific Journal (2023) Vol. 6, Iss. 1, pp. 412-421
Open Access | Times Cited: 3
FCP2Vec: Deep Learning-Based Approach to Software Change Prediction by Learning Co-Changing Patterns from Changelogs
Hamdi Abdurhman Ahmed, Jihwan Lee
Applied Sciences (2023) Vol. 13, Iss. 11, pp. 6453-6453
Open Access | Times Cited: 2
Potential Effects of Industry 4.0 Technologies on Environmental Sustainability - A Systematic Literature Review
Mohamed El Merroun
Soproni Egyetem Kiadó eBooks (2024), pp. 351-364
Open Access
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