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 building electrical load forecasting using adaptive neuro-fuzzy inference system (ANFIS)
Chaouki Ghenaï, Omar Ahmed Al-Mufti, Omar Adil Mashkoor Al-Isawi, et al.
Journal of Building Engineering (2022) Vol. 52, pp. 104323-104323
Closed Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Robust framework based on hybrid deep learning approach for short term load forecasting of building electricity demand
Charan Sekhar, Ratna Dahiya
Energy (2023) Vol. 268, pp. 126660-126660
Closed Access | Times Cited: 107

Recent trends of digital twin technologies in the energy sector: A comprehensive review
Chaouki Ghenaï, Lama Alhaj Husein, Marwa Al Nahlawi, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 54, pp. 102837-102837
Closed Access | Times Cited: 84

Analysis of Cyber Security Attacks and Its Solutions for the Smart grid Using Machine Learning and Blockchain Methods
Tehseen Mazhar, Hafiz Muhammad Irfan, Sunawar Khan, et al.
Future Internet (2023) Vol. 15, Iss. 2, pp. 83-83
Open Access | Times Cited: 82

Energy Monitoring and Control in the Smart Grid
C. R. Kavitha, M. Varalatchoumy, H. R. Mithuna, et al.
Advances in bioinformatics and biomedical engineering book series (2023), pp. 290-316
Closed Access | Times Cited: 59

Digital technologies for a net-zero energy future: A comprehensive review
Md Meftahul Ferdaus, Tanmoy Dam, Sreenatha G. Anavatti, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 202, pp. 114681-114681
Closed Access | Times Cited: 16

Multivariate machine learning algorithms for energy demand forecasting and load behavior analysis
Farhan Hussain, M. Hasanuzzaman, Nasrudin Abd Rahim
Energy Conversion and Management X (2025), pp. 100903-100903
Open Access | Times Cited: 1

Development and application of an evolutionary deep learning framework of LSTM based on improved grasshopper optimization algorithm for short-term load forecasting
Haowen Hu, Xin Xia, Yuanlin Luo, et al.
Journal of Building Engineering (2022) Vol. 57, pp. 104975-104975
Closed Access | Times Cited: 53

Artificial neural networks for power output forecasting from bifacial solar PV system with enhanced building roof surface Albedo
Chaouki Ghenaï, Fahad Ahmad, Oussama Rejeb, et al.
Journal of Building Engineering (2022) Vol. 56, pp. 104799-104799
Closed Access | Times Cited: 43

Strategy for ship energy efficiency based on optimization model and data-driven approach
Çağlar Karatuğ, Mina Tadros, L. Ventura, et al.
Ocean Engineering (2023) Vol. 279, pp. 114397-114397
Open Access | Times Cited: 21

Multi criteria decision making with machine-learning based load forecasting methods for techno-economic and environmentally sustainable distributed hybrid energy solution
Risav Dutta, Sayan Das, S. K. De
Energy Conversion and Management (2023) Vol. 291, pp. 117316-117316
Closed Access | Times Cited: 21

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

Optimized short-term load forecasting in residential buildings based on deep learning methods for different time horizons
Arghavan Irankhah, Mohammad Hossein Yaghmaee, Sara Ershadi-Nasab
Journal of Building Engineering (2024) Vol. 84, pp. 108505-108505
Closed Access | Times Cited: 8

A hybrid long-term industrial electrical load forecasting model using optimized ANFIS with gene expression programming
Mutiu Shola Bakare, Abubakar Abdulkarim, Aliyu Nuhu Shuaibu, et al.
Energy Reports (2024) Vol. 11, pp. 5831-5844
Open Access | Times Cited: 8

Improving Significant Wave Height Prediction Using a Neuro-Fuzzy Approach and Marine Predators Algorithm
Rana Muhammad Adnan Ikram, Xinyi Cao, Tayeb Sadeghifar, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 6, pp. 1163-1163
Open Access | Times Cited: 17

Markov modelling and adaptive neuro fuzzy inference system computing of hydroelectric power plant
Vijay Singh Maan, Ashish Kumar, Monika Saini, et al.
International Journal of Information Technology (2024)
Closed Access | Times Cited: 5

Building electrical consumption patterns forecasting based on a novel hybrid deep learning model
Nasser Shahsavari-Pour, Aghileh Heydari, Farshid Keynia, et al.
Results in Engineering (2025), pp. 104522-104522
Open Access

Optimal control for HVAC system under uncertainty - a stochastic mixed integer programming mo del
Kung‐Jeng Wang, Sheng-Hsuan Chen, Shih‐Hsien Tseng, et al.
Journal of the Chinese Institute of Engineers (2025), pp. 1-11
Closed Access

AI-Driven Short-Term Load Forecasting Enhanced by Clustering in Multi-Type University Buildings: Insights Across Building Types and Pandemic Phases
Yong-Lin Hu, Kai-Yun Lo, I-Yun Lisa Hsieh
Journal of Building Engineering (2025), pp. 112417-112417
Closed Access

Design of a decision support system to achieve condition-based maintenance in ship machinery systems
Çağlar Karatuğ, Yasin Arslanoğlu, C. Guedes Soares
Ocean Engineering (2023) Vol. 281, pp. 114611-114611
Open Access | Times Cited: 15

Comparison of performances of fuzzy logic and adaptive neuro-fuzzy inference system (ANFIS) for estimating employee labor loss
Seher Arslankaya
Journal of Engineering Research (2023) Vol. 11, Iss. 4, pp. 469-477
Open Access | Times Cited: 13

Implementation of Adaptive Network-Based Fuzzy Inference for Hybrid Ground Source Heat Pump
Siwakorn Chuensiri, Kanet Katchasuwanmanee, Wisessint Attaporn, et al.
IEEE Access (2024) Vol. 12, pp. 21052-21069
Open Access | Times Cited: 4

Comparison of Hospital Building’s Energy Consumption Prediction Using Artificial Neural Networks, ANFIS, and LSTM Network
Dimitrios K. Panagiotou, Anastasios I. Dounis
Energies (2022) Vol. 15, Iss. 17, pp. 6453-6453
Open Access | Times Cited: 21

An Improved Particle Swarm Optimization and Adaptive Neuro-Fuzzy Inference System for Predicting the Energy Consumption of University Residence
Stephen Oladipo, Yanxia Sun, Oluwatobi Adeleke
International Transactions on Electrical Energy Systems (2023) Vol. 2023, pp. 1-16
Open Access | Times Cited: 10

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