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:

Impacts of data preprocessing and selection on energy consumption prediction model of HVAC systems based on deep learning
Ziwei Xiao, Wenjie Gang, Jiaqi Yuan, et al.
Energy and Buildings (2022) Vol. 258, pp. 111832-111832
Open Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Data-driven predictive control for smart HVAC system in IoT-integrated buildings with time-series forecasting and reinforcement learning
Dian Zhuang, Vincent J.L. Gan, Zeynep Duygu Tekler, et al.
Applied Energy (2023) Vol. 338, pp. 120936-120936
Closed Access | Times Cited: 101

Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy
Van Giao Nguyen, Prabhakar Sharma, Ümit Ağbulut, et al.
Biofuels Bioproducts and Biorefining (2024) Vol. 18, Iss. 2, pp. 567-593
Closed Access | Times Cited: 22

Very Short-Term Chiller Energy Consumption Prediction Based on Simplified Heterogeneous Graph Convolutional Network
Kate Qi Zhou, K. N. Adeepa Fernando, Xilei Dai, et al.
Energy and Buildings (2025), pp. 115249-115249
Closed Access | Times Cited: 2

Performance evaluation of sequence-to-sequence-Attention model for short-term multi-step ahead building energy predictions
Guannan Li, Fan Li, Tanveer Ahmad, et al.
Energy (2022) Vol. 259, pp. 124915-124915
Closed Access | Times Cited: 40

A Review of Data-Driven Building Energy Prediction
Huiheng Liu, Jin Rui Liang, Yanchen Liu, et al.
Buildings (2023) Vol. 13, Iss. 2, pp. 532-532
Open Access | Times Cited: 24

Augmenting energy time-series for data-efficient imputation of missing values
Antonio Liguori, Romana Markovic, Martina Ferrando, et al.
Applied Energy (2023) Vol. 334, pp. 120701-120701
Closed Access | Times Cited: 22

Automated machine learning-based building energy load prediction method
Chaobo Zhang, Xiangning Tian, Yang Zhao, et al.
Journal of Building Engineering (2023) Vol. 80, pp. 108071-108071
Closed Access | Times Cited: 21

A data-driven rolling optimization control approach for building energy systems that integrate virtual energy storage systems
Yunfei Mu, Yanze Xu, Jiarui Zhang, et al.
Applied Energy (2023) Vol. 346, pp. 121362-121362
Closed Access | Times Cited: 19

Accurately predicting the performance of MOF-based mixed matrix membranes for CO2 removal using a novel optimized extreme learning machine by BAT algorithm
Meysam Alizamir, Ahmad Keshavarz, Farideh Abdollahi, et al.
Separation and Purification Technology (2023) Vol. 325, pp. 124689-124689
Closed Access | Times Cited: 19

Deep learning with data preprocessing methods for water quality prediction in ultrafiltration
Jaegyu Shim, Seokmin Hong, Jiye Lee, et al.
Journal of Cleaner Production (2023) Vol. 428, pp. 139217-139217
Closed Access | Times Cited: 19

Real-time energy consumption prediction method for air-conditioning system based on long short-term memory neural network
Yifan Zhao, Wei Li, Jili Zhang, et al.
Energy and Buildings (2023) Vol. 298, pp. 113527-113527
Closed Access | Times Cited: 16

The impact of improved PCA method based on anomaly detection on chiller sensor fault detection
Aosong Liang, Yunpeng Hu, Guannan Li
International Journal of Refrigeration (2023) Vol. 155, pp. 184-194
Closed Access | Times Cited: 15

An improved transfer learning strategy for short-term cross-building energy prediction using data incremental
Guannan Li, Yubei Wu, Chengchu Yan, et al.
Building Simulation (2023) Vol. 17, Iss. 1, pp. 165-183
Closed Access | Times Cited: 14

A machine learning framework for detection and severity estimation of faults for chillers and air handling units in HVAC systems
Ramnath V. Prabhu Bam, Rajesh S. Prabhu Gaonkar, Clint P. George
Energy and Buildings (2024) Vol. 313, pp. 114235-114235
Closed Access | Times Cited: 4

A review on hybrid physics and data-driven modeling methods applied in air source heat pump systems for energy efficiency improvement
Yanhua Guo, Ningbo Wang, Shuangquan Shao, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 204, pp. 114804-114804
Closed Access | Times Cited: 4

Optimization analysis of the performance of a ground source heat pump system based on air conditioning load forecasting
Chao Xu, Peng Gong, Zhenxing Li, et al.
Energy Sources Part A Recovery Utilization and Environmental Effects (2025) Vol. 47, Iss. 1, pp. 1269-1288
Closed Access

Exploring the role of energy Communities: A comprehensive review
Muhammad Amin, Renato Procopio, Marco Invernizzi, et al.
Energy Conversion and Management X (2025), pp. 100883-100883
Open Access

Predicting Energy Consumption Data Using Deep Learning: An LSTM Approach
Julio Macedo Chaves, Elene Firmeza Ohata, Matheus A. dos Santos, et al.
Lecture notes in computer science (2025), pp. 296-308
Closed Access

Performance analysis of a residential building with pipe-embedded envelopes coupled with GSHEs toward low carbon emission
Shiguang Fan, Tian Yan, Xianting Li, et al.
Building and Environment (2025), pp. 112754-112754
Closed Access

Preparation and study of phase change energy storage building materials and analysis of neural network-based heat storage and release prediction models
Jingtao Liu, Dahua Jiang, Yunfei Ding, et al.
Journal of Energy Storage (2025) Vol. 118, pp. 116222-116222
Closed Access

A multi-dimensional data integration approach for machining system multi-level energy consumption modeling and prediction
Yuxuan Chen, Hua Zhang, Wei Yan, et al.
International Journal of Computer Integrated Manufacturing (2025), pp. 1-22
Closed Access

A hybrid model of commercial building cooling load prediction based on the improved NCHHO-FENN algorithm
Yun Mao, Junqi Yu, Na Zhang, et al.
Journal of Building Engineering (2023) Vol. 78, pp. 107660-107660
Closed Access | Times Cited: 10

Assessment of the thermal resistance of novel roof structures incorporating nano-Phase Change Materials capsules under the influence of an external magnetic field
LMQ Nguyen, Bader Alshuraiaan, Ahmad Hajjar, et al.
Journal of Building Engineering (2023) Vol. 79, pp. 107851-107851
Closed Access | Times Cited: 9

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