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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:

Building Energy Consumption Prediction Using a Deep-Forest-Based DQN Method
Qiming Fu, Ke Li, Jianping Chen, et al.
Buildings (2022) Vol. 12, Iss. 2, pp. 131-131
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Residential building energy consumption estimation: A novel ensemble and hybrid machine learning approach
Behnam Sadaghat, Sadegh Afzal, Ali Javadzade Khiavi
Expert Systems with Applications (2024) Vol. 251, pp. 123934-123934
Closed Access | Times Cited: 19
A sustainable data-driven energy consumption assessment model for building infrastructures in resource constraint environment
Sunil Kumar Mohapatra, Sushruta Mishra, Hrudaya Kumar Tripathy, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 53, pp. 102697-102697
Closed Access | Times Cited: 47
Office building energy consumption forecast: Adaptive long short term memory networks driven by improved beluga whale optimization algorithm
Zengxi Feng, Jianhu An, Mingyue Han, et al.
Journal of Building Engineering (2024) Vol. 91, pp. 109612-109612
Closed Access | Times Cited: 15
A Survey on Reinforcement Learning for Reconfigurable Intelligent Surfaces in Wireless Communications
Annisa Anggun Puspitasari, Byung Moo Lee
Sensors (2023) Vol. 23, Iss. 5, pp. 2554-2554
Open Access | Times Cited: 19
Active learning-based machine learning approach for enhancing environmental sustainability in green building energy consumption
Shahid Mahmood, Huaping Sun, Amel Ali Alhussan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Short term energy consumption forecasting using neural basis expansion analysis for interpretable time series
Abdul Khalique Shaikh, Amril Nazir, Imran Khan, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 26
A novel building energy consumption prediction method using deep reinforcement learning with consideration of fluctuation points
Wei Jin, Qiming Fu, Jianping Chen, et al.
Journal of Building Engineering (2022) Vol. 63, pp. 105458-105458
Open Access | Times Cited: 24
Developing a machine learning based building energy consumption prediction approach using limited data: Boruta feature selection and empirical mode decomposition
Qingyao Qiao, Akilu Yunusa‐Kaltungo, R. E. Edwards
Energy Reports (2023) Vol. 9, pp. 3643-3660
Open Access | Times Cited: 15
Comprehensive optimization of urban building cluster morphology based on microclimate: A two-level optimization approach
Jue Liu, Xinyi She, Junqi Wang
Sustainable Cities and Society (2023) Vol. 100, pp. 105005-105005
Closed Access | Times Cited: 11
Explaining building energy efficiency prediction through architectural and engineering solutions considering environmental impacts using a hybrid model
Semi Emrah Aslay
Energy and Buildings (2025), pp. 115614-115614
Closed Access
Reconstruction of Subsurface Salinity Structure in the South China Sea Using Satellite Observations: A LightGBM-Based Deep Forest Method
Lin Dong, Jifeng Qi, Baoshu Yin, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3494-3494
Open Access | Times Cited: 16
A New Multipredictor Ensemble Decision Framework Based on Deep Reinforcement Learning for Regional GDP Prediction
Qingwen Li, Chengming Yu, Guangxi Yan
IEEE Access (2022) Vol. 10, pp. 45266-45279
Open Access | Times Cited: 14
Study of the Data Augmentation Approach for Building Energy Prediction beyond Historical Scenarios
Haizhou Fang, Hongwei Tan, Risto Kosonen, et al.
Buildings (2023) Vol. 13, Iss. 2, pp. 326-326
Open Access | Times Cited: 7
CorrDQN-FS: A two-stage feature selection method for energy consumption prediction via deep reinforcement learning
Lu Liu, Qiming Fu, You Lu, et al.
Journal of Building Engineering (2023) Vol. 80, pp. 108044-108044
Closed Access | Times Cited: 7
A Comprehensive Predictive-Learning Framework for Optimal Scheduling and Control of Smart Home Appliances Based on User and Appliance Classification
Wafa Shafqat, Kyu‐Tae Lee, Do‐Hyeun Kim
Sensors (2022) Vol. 23, Iss. 1, pp. 127-127
Open Access | Times Cited: 11
“Image-Spectral” fusion monitoring of small cotton samples nitrogen content based on improved deep forest
Shizhe Qin, Yiren Ding, Tailong Zhou, et al.
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 109002-109002
Closed Access | Times Cited: 2
Predicting energy use in construction using Extreme Gradient Boosting
Jiaming Han, K. Y. Shu, Zhenyu Wang
PeerJ Computer Science (2023) Vol. 9, pp. e1500-e1500
Open Access | Times Cited: 5
Visual interpretation of deep deterministic policy gradient models for energy consumption prediction
Huixue Wang, Yunzhe Wang, You Lü, et al.
Journal of Building Engineering (2023) Vol. 79, pp. 107847-107847
Closed Access | Times Cited: 5
Deep Forest-Based DQN for Cooling Water System Energy Saving Control in HVAC
Zhicong Han, Qiming Fu, Jianping Chen, et al.
Buildings (2022) Vol. 12, Iss. 11, pp. 1787-1787
Open Access | Times Cited: 8
GWO-ANFIS-RD3PG: A reinforcement learning approach with dynamic adjustment and dual replay mechanism for building energy forecasting
Xiang Ma, Jie Fan, Jian Wang, et al.
Journal of Building Engineering (2024), pp. 110726-110726
Closed Access | Times Cited: 1
Building shape optimization based on interconnected embodied and operational energy and carbon impacts
Farnaz Nazari, Manish Dixit, Wei Yan, et al.
Energy and Buildings (2024), pp. 114933-114933
Closed Access | Times Cited: 1
Leakage Diagnosis of Air Conditioning Water System Networks Based on an Improved BP Neural Network Algorithm
Rundong Liu, Yuhang Zhang, Zhengwei Li
Buildings (2022) Vol. 12, Iss. 5, pp. 610-610
Open Access | Times Cited: 6
MAQMC: Multi-Agent Deep Q-Network for Multi-Zone Residential HVAC Control
Zhengkai Ding, Qiming Fu, Jianping Chen, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 136, Iss. 3, pp. 2759-2785
Open Access | Times Cited: 3
Energy consumption modelling analysis of prefabricated buildings based on KPCA-WL SSVM
Xiujuan Lv, Wuxin Chen, Xuefeng Bai
Thermal Science (2022) Vol. 26, Iss. 5 Part A, pp. 4031-4042
Open Access | Times Cited: 5
Deep reinforcement learning enhances artistic creativity: The case study of program art students integrating computer deep learning
Feng Hua Zhao
Journal of Intelligent Systems (2024) Vol. 33, Iss. 1
Open Access
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