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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:

Short-Term Occupancy Forecasting for a Smart Home Using Optimized Weight Updates Based on GA and PSO Algorithms for an LSTM Network
Sameh Mahjoub, Sami Labdai, Larbi Chrifi‐Alaoui, et al.
Energies (2023) Vol. 16, Iss. 4, pp. 1641-1641
Open Access | Times Cited: 17

Showing 17 citing articles:

AI-Driven Innovations in Building Energy Management Systems: A Review of Potential Applications and Energy Savings
Dalia Mohammed Talat Ebrahim Ali, Violeta Motuzienė, Rasa Džiugaitė-Tumėnienė
Energies (2024) Vol. 17, Iss. 17, pp. 4277-4277
Open Access | Times Cited: 9
Building an IoT temperature and humidity forecasting model based on long short-term memory (LSTM) with improved whale optimization algorithm
Mustafa Wassef Hasan
Memories - Materials Devices Circuits and Systems (2023) Vol. 6, pp. 100086-100086
Open Access | Times Cited: 12
Occupancy Prediction in IoT-Enabled Smart Buildings: Technologies, Methods, and Future Directions
Irfanullah Khan, Ouarda Zedadra, Antonio Guerrieri, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3276-3276
Open Access | Times Cited: 4
Intelligent Forecasting and Optimization in Electrical Power Systems: Advances in Models and Applications
Grzegorz Dudek, P. Piotrowski, D. Baczyński
Energies (2023) Vol. 16, Iss. 7, pp. 3024-3024
Open Access | Times Cited: 10
Enhanced Multi-Horizon Occupancy Prediction in Smart Buildings using Cascaded Bi-LSTM Models with Integrated Features
Chinmayi Kanthila, Abhinandana Boodi, Anna Marszal-Pomianowska, et al.
Energy and Buildings (2024) Vol. 318, pp. 114442-114442
Open Access | Times Cited: 3
Daily natural gas load prediction method based on APSO optimization and Attention-BiLSTM
Xinjing Qi, Huan Wang, Yubo Ji, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1890-e1890
Open Access | Times Cited: 2
Leveraging distributed AI for multi-occupancy prediction in Cognitive Buildings
Irfanullah Khan, Franco Cicirelli, Emilio Greco, et al.
Internet of Things (2024) Vol. 26, pp. 101181-101181
Open Access | Times Cited: 2
Enhanced Deep Neural Networks for Traffic Speed Forecasting Regarding Sustainable Traffic Management Using Probe Data from Registered Transport Vehicles on Multilane Roads
Van Manh, Quang Hoc Tran, Khanh Giang Le, et al.
Sustainability (2024) Vol. 16, Iss. 6, pp. 2453-2453
Open Access | Times Cited: 2
Ada-XG-CatBoost: A Combined Forecasting Model for Gross Ecosystem Product (GEP) Prediction
Yang Liu, Tianxing Yang, Liwei Tian, et al.
Sustainability (2024) Vol. 16, Iss. 16, pp. 7203-7203
Open Access | Times Cited: 2
A hybrid deep learning model–based LSTM and modified genetic algorithm for air quality applications
Oumaima Bouakline, Youssef El Merabet, Abdelhak Elidrissi, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 12
Closed Access | Times Cited: 1
Comprehensive Evaluation Method for Traffic Flow Data Quality Based on Grey Correlation Analysis and Particle Swarm Optimization
Wei Ba, Bao-Jun Chen, Qi Li
Journal of Systems Science and Systems Engineering (2023) Vol. 33, Iss. 1, pp. 106-128
Closed Access | Times Cited: 3
Improving Long-Term Indoor Temperature Predictions of Insulated Buildings
Byeong Jun Lee, Seong Hyeon Hong, Byung Kyu Park
(2024)
Closed Access
Performance evaluation of forecasting strategies for building occupancy prediction
Amine Maniar, Laurent Delahoche, Larbi Chrifi‐Alaoui, et al.
ITM Web of Conferences (2024) Vol. 69, pp. 01013-01013
Open Access
A hybrid prediction model for heating load of buildings within residential communities considering occupancy rates
Anjun Zhao, Mingrui Zhang, Wei Quan, et al.
Energy and Buildings (2024) Vol. 329, pp. 115220-115220
Closed Access
Occupancy Prediction in Multi-Occupant IoT Environments Leveraging Federated Learning
Irfanullah Khan, Flávia C. Delicato, Emilio Greco, et al.
2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) (2023), pp. 0036-0043
Closed Access | Times Cited: 1
A Prediction Model of Power Consumption in Smart City Using Hybrid Deep Learning Algorithm
Salam Abdulkhaleq Noaman, Ali Mohammed Saleh Ahmed, Aseel Dawod Salman
JOIV International Journal on Informatics Visualization (2023) Vol. 7, Iss. 4, pp. 2436-2436
Open Access
A Prediction Model of Power Consumption in Smart City Using Hybrid Deep Learning Algorithm
Salam Abdulkhaleq Noaman, Ali Mohammed Saleh Ahmed, Aseel Dawod Salman
JOIV International Journal on Informatics Visualization (2023) Vol. 7, Iss. 4, pp. 2436-2436
Open Access
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