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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:

Dynamic User Preference Parameters Selection and Energy Consumption Optimization for Smart Homes Using Deep Extreme Learning Machine and Bat Algorithm
Abdul Salam Shah, Haidawati Nasir, Muhammad Fayaz, et al.
IEEE Access (2020) Vol. 8, pp. 204744-204762
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Building energy prediction using artificial neural networks: A literature survey
Chujie Lu, Sihui Li, Zhengjun Lu
Energy and Buildings (2021) Vol. 262, pp. 111718-111718
Closed Access | Times Cited: 147
Forecasting energy consumption demand of customers in smart grid using Temporal Fusion Transformer (TFT)
Amril Nazir, Abdul Khalique Shaikh, Abdul Salam Shah, et al.
Results in Engineering (2023) Vol. 17, pp. 100888-100888
Open Access | Times Cited: 50
Energy, thermal comfort, and indoor air quality: Multi-objective optimization review
T. Al Mindeel, Eftychia Spentzou, Mohammad Eftekhari
Renewable and Sustainable Energy Reviews (2024) Vol. 202, pp. 114682-114682
Open Access | Times Cited: 20
A higher prediction accuracy–based alpha–beta filter algorithm using the feedforward artificial neural network
Junaid Khan, Eunkyu Lee, Kyungsup Kim
CAAI Transactions on Intelligence Technology (2022) Vol. 8, Iss. 4, pp. 1124-1139
Open Access | Times Cited: 61
Leveraging Artificial Intelligence to Bolster the Energy Sector in Smart Cities: A Literature Review
Jesús Camacho, Bernabé Aguirre, Pedro Ponce, et al.
Energies (2024) Vol. 17, Iss. 2, pp. 353-353
Open Access | Times Cited: 10
Deep fuzzy nets approach for energy efficiency optimization in smart grids
Abdullah Baz, J. Logeshwaran, Yuvaraj Natarajan, et al.
Applied Soft Computing (2024) Vol. 161, pp. 111724-111724
Closed Access | Times Cited: 9
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 | Times Cited: 1
Recent advances of bat-inspired algorithm, its versions and applications
Zaid Abdi Alkareem Alyasseri, Osama Ahmad Alomari, Mohammed Azmi Al-Betar, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 19, pp. 16387-16422
Open Access | Times Cited: 24
Energy retrofits for smart and connected communities: Scopes and technologies
Lei Shu, Yunjeong Mo, Dong Zhao
Renewable and Sustainable Energy Reviews (2024) Vol. 199, pp. 114510-114510
Closed Access | Times Cited: 5
Enhanced Electricity Forecasting for Smart Buildings Using a TCN‐Bi‐LSTM Deep Learning Model
Sandeep Kumar Gautam, V.K. Shrivastava, Sandeep S. Udmale
Expert Systems (2025) Vol. 42, Iss. 3
Closed Access
Comfort and energy consumption optimization in smart homes using bat algorithm with inertia weight
Mohamad Razwan Abdul Malek, Nor Azlina Ab. Aziz, Salem Alelyani, et al.
Journal of Building Engineering (2021) Vol. 47, pp. 103848-103848
Closed Access | Times Cited: 30
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
Optimizing energy efficiency and comfort in smart homes through predictive optimization: A case study with indoor environmental parameter consideration
Qazi Waqas Khan, Rashid Ahmad, Atif Rizwan, et al.
Energy Reports (2024) Vol. 11, pp. 5619-5637
Open Access | Times Cited: 4
Application of Two-Phase Simplex Method (TPSM) for an Efficient Home Energy Management System to Reduce Peak Demand and Consumer Consumption Cost
A. Singaravelan, M. Kowsalya, J. Prasanth Ram, et al.
IEEE Access (2021) Vol. 9, pp. 63591-63601
Open Access | Times Cited: 26
A taxonomy of energy optimization techniques for smart cities: Architecture and future directions
Sudeep Tanwar, Aarti Popat, Pronaya Bhattacharya, et al.
Expert Systems (2021) Vol. 39, Iss. 5
Closed Access | Times Cited: 26
Smart Edge Device Utilizing Power Line Communication for Energy Management and Control of Electrical Appliances
L.N. Sastry Varanasi, Ankamma Rao Jonnalagadda, Sri Phani Krishna Karri
IEEE Access (2024) Vol. 12, pp. 37207-37218
Open Access | Times Cited: 3
An Improved Alpha Beta Filter Using a Deep Extreme Learning Machine
Junaid Khan, Muhammad Fayaz, Ayyaz Hussain, et al.
IEEE Access (2021) Vol. 9, pp. 61548-61564
Open Access | Times Cited: 21
A Performance Evaluation of the Alpha-Beta (α-β) Filter Algorithm with Different Learning Models: DBN, DELM, and SVM
Junaid Khan, Kyungsup Kim
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9429-9429
Open Access | Times Cited: 14
Optimization of energy consumption in smart homes using firefly algorithm and deep neural networks
Rituraj Jain, Yohannes Bekuma Bakare, Balachandra Pattanaik, et al.
Sustainable Engineering and Innovation ISSN 2712-0562 (2023) Vol. 5, Iss. 2, pp. 161-176
Open Access | Times Cited: 6
A Study on Preference Selection Index Multi-Criteria Decision Making Techniques
A. Bharathi, D. R. Pallavi, M Ramachandran, et al.
(2022) Vol. 2, Iss. 1, pp. 20-25
Open Access | Times Cited: 9
IoT-Based Real-Time updating multi-layered learning system applied for a special care context during COVID-19
Serdar Erişen
Cogent Engineering (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 9
Bibliometric analysis, scientometrics and metasynthesis of Internet of Things (IoT) in smart buildings
Bruno Lot Tanko, Emmanuel Essah, Olakunle Elijah, et al.
Built Environment Project and Asset Management (2023) Vol. 13, Iss. 5, pp. 646-665
Open Access | Times Cited: 5
Optimizing prediction accuracy in dynamic systems through neural network integration with Kalman and alpha-beta filters
Junaid Khan, Umar Zaman, Eunkyu Lee, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0311734-e0311734
Open Access | Times Cited: 1
Indoor Comfort and Energy Consumption Optimization Using an Inertia Weight Artificial Bee Colony Algorithm
Farah Nur Arina Baharudin, Nor Azlina Ab. Aziz, Mohamad Razwan Abdul Malek, et al.
Algorithms (2022) Vol. 15, Iss. 11, pp. 395-395
Open Access | Times Cited: 6
A Feature Selection-Based Predictive-Learning Framework for Optimal Actuator Control in Smart Homes
Sehrish Malik, Wafa Shafqat, Kyu‐Tae Lee, et al.
Actuators (2021) Vol. 10, Iss. 4, pp. 84-84
Open Access | Times Cited: 8
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