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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:

Energy consumption prediction in an office building by examining occupancy rates and weather parameters using the moving average method and artificial neural network
Ali Maboudi Reveshti, Elham Khosravirad, Ahmad Karimi Rouzbahani, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e25307-e25307
Open Access | Times Cited: 9

Showing 9 citing articles:

A proposal on a co-generation system accompanied with phase change material to supply energy demand of a hospital to make it a zero energy building (ZEB)
Ehsanolah Assareh, Abolfazl Keykhah, Le Cao Nhien, et al.
Energy and Buildings (2024) Vol. 318, pp. 114478-114478
Closed Access | Times Cited: 9
A Mixed-Method Investigation of the Root Causes of Construction Project Delays in Afghanistan
Mohammad Basheer Ahmadzai, Kunhui Ye
Heliyon (2025) Vol. 11, Iss. 2, pp. e41923-e41923
Open Access
Optimal design strategy of traditional courtyard based on performance and data-driven method—A case study of Yanshen ancient town, China
Zhixin Xu, Xin Zheng, Xiangfeng Li
Frontiers of Architectural Research (2025)
Open Access
Optimizing Energy Efficiency and Sustainability in Winter Climate Control: Innovative Use of Variable Refrigerant Flow (VRF) Systems in University Buildings
Yolanda Arroyo, Julio Francisco San José Alonso, Luis San José, et al.
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2374-2374
Open Access
Deep Learning Framework Using Transformer Networks for Multi Building Energy Consumption Prediction in Smart Cities
Samuel Moveh, Emmanuel Alejandro Merchán-Cruz, Maher Abuhussain, et al.
Energies (2025) Vol. 18, Iss. 6, pp. 1468-1468
Open Access
Applying neural networks for short and long-term hourly electricity consumption forecasting in universities: A simultaneous approach for energy management
Pedro Joaquín Chévez, Irene Martini
Journal of Building Engineering (2024) Vol. 97, pp. 110612-110612
Closed Access | Times Cited: 1
Perbandingan Pendekatan Metode Peramalan Naive Approach, Simple Moving Average dan Weighted Moving Average dalam Upaya Meningkatkan Prediksi Penjualan JNE Kopma UNY
Nanda Cahya Wulan, Lilia Pasca Riani
JATI UNIK Jurnal Ilmiah Teknik dan Manajemen Industri (2024) Vol. 7, Iss. 2
Open Access
Assessment of Seasonal Energy Efficiency in a University Building's Winter Climate Control: A Case Study of Variable Refrigerant Volume (Vrv) System
Julio Francisco San José Alonso, Francisco Javier Rey Martı́nez, Luis San José, et al.
(2024)
Closed Access
Hybrid Deep Learning Model for Vegetable Price Forecasting Based on Principal Component Analysis and Attention Mechanism
Xiangrong Chen, Chengzhi Cai, Xinyi He, et al.
Physica Scripta (2024) Vol. 99, Iss. 12, pp. 125017-125017
Closed Access
Grey-Box Method for Urban Building Energy Modelling: Advancements and Potentials
Ying Guo, Jie Shi, Tong Guo, et al.
Energies (2024) Vol. 17, Iss. 21, pp. 5463-5463
Open Access
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