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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:

Modeling, Simulation and Optimization of Power Plant Energy Sustainability for IoT Enabled Smart Cities Empowered With Deep Extreme Learning Machine
Sagheer Abbas, Muhammad Adnan Khan, Luis Eduardo Falcón-Morales, et al.
IEEE Access (2020) Vol. 8, pp. 39982-39997
Open Access | Times Cited: 82

Showing 26-50 of 82 citing articles:

Emerging Research Trends in Artificial Intelligence for Cancer Diagnostic Systems: A Comprehensive Review
Sagheer Abbas, Muhammad Waqas Asif, Abdur Rehman, et al.
Heliyon (2024) Vol. 10, Iss. 17, pp. e36743-e36743
Open Access | Times Cited: 5
Advances in Deep Learning Techniques for Short-term Energy Load Forecasting Applications: A Review
Radhika Chandrasekaran, Senthil Kumar Paramasivan
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 4
Deep learning-based optimization of energy utilization in IoT-enabled smart cities: A pathway to sustainable development
Abeer Aljohani
Energy Reports (2024) Vol. 12, pp. 2946-2957
Open Access | Times Cited: 4
Prediction of Electricity Consumption in Residential Areas using Temporal Fusion Transformer and Convolutional Neural Network
B. N. Shwetha, Harish Nandhan S
Journal of Machine and Computing (2025), pp. 209-219
Closed Access
Advanced Deep Learning Algorithms for Energy Optimization of Smart Cities
Izabela Rojek, Dariusz Mikołajewski, Krzysztof Galas, et al.
Energies (2025) Vol. 18, Iss. 2, pp. 407-407
Open Access
Machine Learning‐Driven Passenger Demand Forecasting for Autonomous Taxi Transportation Systems in Smart Cities
Adeel Munawar, Mongkut Piantanakulchai
Expert Systems (2025) Vol. 42, Iss. 3
Closed Access
Enhancing Grid Resilience Entangled with Federated Learning for Secure Data Aggregation in Smart Grids
Muhammad Adnan Khan
(2025), pp. 234-240
Closed Access
An approach to analyse energy consumption of an IoT system
Hanumant Kumar Yugank, Richa Sharma, Sindhu Hak Gupta
International Journal of Information Technology (2022) Vol. 14, Iss. 5, pp. 2549-2558
Closed Access | Times Cited: 21
Emerging Technologies for Enhancing Robust Cybersecurity Measures for Business Intelligence in Healthcare 5.0
Abdur Rehman Sakhawat, Areej Fatima, Sagheer Abbas, et al.
Advances in business information systems and analytics book series (2024), pp. 270-293
Closed Access | Times Cited: 3
Intelligent breast cancer diagnostic system empowered by deep extreme gradient descent optimization
Muhammad Bilal Khan, Atta Rahman, Muhammad Saqib Nawaz, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 8, pp. 7978-8002
Open Access | Times Cited: 15
Enhance Intrusion Detection in Computer Networks Based on Deep Extreme Learning Machine
Muhammad Adnan Khan, Abdur Rehman, Khalid Masood Khan, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2020) Vol. 66, Iss. 1, pp. 467-480
Open Access | Times Cited: 22
Energy-Efficient Cluster Formation in IoT-Enabled Wireless Body Area Network
Asim Zeb, Sonia Wakeel, Taj Rahman, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 13
Paradigms, Methods, and Tools for Multicriteria Decision Models in Sustainable Industry 4.0 Oriented Manufacturing Systems
Lucas Borges Leal da Silva, Evanielle Barbosa Ferreira, Rodrigo José Pires Ferreira, et al.
Sustainability (2023) Vol. 15, Iss. 11, pp. 8869-8869
Open Access | Times Cited: 7
Elevating security and disease forecasting in smart healthcare through artificial neural synchronized federated learning
Tao Hai, Arindam Sarkar, Muammer Aksoy, et al.
Cluster Computing (2024) Vol. 27, Iss. 6, pp. 7889-7914
Closed Access | Times Cited: 2
Fuzzy-Based Weighted Federated Machine Learning Approach for Sustainable Energy Management with IoE Integration
Taher M. Ghazal, Jamshaid Iqbal Janjua, Sagheer Abbas, et al.
(2024), pp. 112-117
Closed Access | Times Cited: 2
Analysis of IoT technologies suitable for remote areas in Colombia: Conceptual design of an IoT system for monitoring and managing distributed energy systems
Ramón Fernando Colmenares-Quintero, Marieth Baquero-Almazo, Damian Kasperczyk, et al.
Cleaner Engineering and Technology (2024) Vol. 21, pp. 100783-100783
Open Access | Times Cited: 2
Enhancing environmental sustainability with federated LSTM models for AI-driven optimization
Fahd S. Alharithi, Ahmad A. Alzahrani
Alexandria Engineering Journal (2024) Vol. 108, pp. 640-653
Open Access | Times Cited: 2
IoT Based Smart Fish-Feeder and Monitoring System
Ahmed Abu‐Khadrah, Ghassan F. Issa, Muhammad Shoukat Aslam, et al.
2022 International Conference on Business Analytics for Technology and Security (ICBATS) (2022), pp. 1-4
Closed Access | Times Cited: 12
Smart City Intelligent Traffic Control for Connected Road Junction Congestion Awareness with Deep Extreme Learning Machine
Muhammad Umair Hassan, Asma Kanwal, Muath Jarrah, et al.
2022 International Conference on Business Analytics for Technology and Security (ICBATS) (2022), pp. 1-4
Closed Access | Times Cited: 12
AI-Based Intelligent Model to Predict Epidemics Using Machine Learning Technique
Liaqat Ali, Saif E. A. Alnawayseh, Mohammed Salahat, et al.
Intelligent Automation & Soft Computing (2022) Vol. 36, Iss. 1, pp. 1095-1104
Open Access | Times Cited: 11
Internet of Things resource monitoring through proactive fault prediction
Abishi Chowdhury, Shital Raut, Amrit Pal
Computers & Industrial Engineering (2022) Vol. 169, pp. 108265-108265
Closed Access | Times Cited: 9
COVID-19 Detection Mechanism in Vehicles Using a Deep Extreme Machine Learning Approach
Areej Fatima, Tariq Shahzad, Sagheer Abbas, et al.
Diagnostics (2023) Vol. 13, Iss. 2, pp. 270-270
Open Access | Times Cited: 5
Energy Prediction in IoT Systems Using Machine Learning Models
S. Balaji, S. Karthik
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 75, Iss. 1, pp. 443-459
Open Access | Times Cited: 5
The “Smart” Concept from an Electrical Sustainability Viewpoint
Ignacio E. Llanez-Caballero, Luis Ibarra, Angel Peña-Quintal, et al.
Energies (2023) Vol. 16, Iss. 7, pp. 3072-3072
Open Access | Times Cited: 5
Enabling Smart Cities with Cognition Based Intelligent Route Decision in Vehicles Empowered with Deep Extreme Learning Machine
Dildar Hussain, Muhammad Adnan Khan, Sagheer Abbas, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2020) Vol. 66, Iss. 1, pp. 141-156
Open Access | Times Cited: 14

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