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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:

Highly accurate energy consumption forecasting model based on parallel LSTM neural networks
Ning Jin, Fan Yang, Yuchang Mo, et al.
Advanced Engineering Informatics (2021) Vol. 51, pp. 101442-101442
Closed Access | Times Cited: 102

Showing 1-25 of 102 citing articles:

Optimization and prediction in the early design stage of office buildings using genetic and XGBoost algorithms
Hainan Yan, Ke Yan, Guohua Ji
Building and Environment (2022) Vol. 218, pp. 109081-109081
Closed Access | Times Cited: 68
Gross electricity consumption forecasting using LSTM and SARIMA approaches: A case study of Türkiye
Mehmet Bilgili, Engin Pınar
Energy (2023) Vol. 284, pp. 128575-128575
Closed Access | Times Cited: 45
An Improved Neural Network Based on SENet for Sleep Stage Classification
Jing Huang, Lifeng Ren, Xiaokang Zhou, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 10, pp. 4948-4956
Closed Access | Times Cited: 61
Air quality forecasting with hybrid LSTM and extended stationary wavelet transform
Yongkang Zeng, Jingjing Chen, Ning Jin, et al.
Building and Environment (2022) Vol. 213, pp. 108822-108822
Open Access | Times Cited: 61
Dynamic energy efficient task offloading and resource allocation for NOMA-enabled IoT in smart buildings and environment
Kaixin Li, Jie Zhao, Jintao Hu, et al.
Building and Environment (2022) Vol. 226, pp. 109513-109513
Closed Access | Times Cited: 46
Collaborative deep learning framework on IoT data with bidirectional NLSTM neural networks for energy consumption forecasting
Ke Yan, Xiaokang Zhou, Jinjun Chen
Journal of Parallel and Distributed Computing (2022) Vol. 163, pp. 248-255
Open Access | Times Cited: 44
A deep learning framework using multi-feature fusion recurrent neural networks for energy consumption forecasting
Lei Fang, Bin He
Applied Energy (2023) Vol. 348, pp. 121563-121563
Closed Access | Times Cited: 32
Natural gas consumption forecasting using a novel two-stage model based on improved sparrow search algorithm
Weibiao Qiao, Qianli Ma, Yulou Yang, et al.
Journal of Pipeline Science and Engineering (2024) Vol. 5, Iss. 1, pp. 100220-100220
Open Access | Times Cited: 12
Residential net load interval prediction based on stacking ensemble learning
Yan He, Hongli Zhang, Yingchao Dong, et al.
Energy (2024) Vol. 296, pp. 131134-131134
Closed Access | Times Cited: 11
Forecasting turning points in stock price by applying a novel hybrid CNN-LSTM-ResNet model fed by 2D segmented images
Pouya Khodaee, Akbar Esfahanipour, Hasan Taheri
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105464-105464
Closed Access | Times Cited: 36
Smart Energy Management: A Comparative Study of Energy Consumption Forecasting Algorithms for an Experimental Open-Pit Mine
Adila El Maghraoui, Younes Ledmaoui, Oussama Laayati, et al.
Energies (2022) Vol. 15, Iss. 13, pp. 4569-4569
Open Access | Times Cited: 35
Physics-based machine learning method and the application to energy consumption prediction in tunneling construction
Siyang Zhou, Shanglin Liu, Yilan Kang, et al.
Advanced Engineering Informatics (2022) Vol. 53, pp. 101642-101642
Closed Access | Times Cited: 29
Energy Forecasting in a Public Building: A Benchmarking Analysis on Long Short-Term Memory (LSTM), Support Vector Regression (SVR), and Extreme Gradient Boosting (XGBoost) Networks
Junhui Huang, Mohammed S. Algahtani, Sakdirat Kaewunruen
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9788-9788
Open Access | Times Cited: 29
A Hybrid Sparrow Search Algorithm of the Hyperparameter Optimization in Deep Learning
Yanyan Fan, Yu Zhang, Baosu Guo, et al.
Mathematics (2022) Vol. 10, Iss. 16, pp. 3019-3019
Open Access | Times Cited: 28
A Solar Irradiance Forecasting Framework Based on the CEE-WGAN-LSTM Model
Qianqian Li, Dongping Zhang, Ke Yan
Sensors (2023) Vol. 23, Iss. 5, pp. 2799-2799
Open Access | Times Cited: 17
Detection of Anomalies in Daily Activities Using Data from Smart Meters
Álvaro Hernández, Rubén Nieto, Laura de Diego-Otón, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 515-515
Open Access | Times Cited: 5
A novel workflow including denoising and hybrid deep learning model for shield tunneling construction parameter prediction
Yuxian Zhang, Xuhua Ren, Jixun Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108103-108103
Closed Access | Times Cited: 5
Forecasting building energy demand and on-site power generation for residential buildings using long and short-term memory method with transfer learning
Dongsu Kim, Gu Seomun, Yongjun Lee, et al.
Applied Energy (2024) Vol. 368, pp. 123500-123500
Closed Access | Times Cited: 5
An Ensemble Approach to Predict a Sustainable Energy Plan for London Households
Niraj Buyo, Akbar Sheikh-Akbari, Farrukh Saleem
Sustainability (2025) Vol. 17, Iss. 2, pp. 500-500
Open Access
Multi-Factorial Complex Effects Analysis of Energy Consumption Time Series with the Novel Nonlinear Grey Interaction Model
Qi Ding, Zhaohu Wang, Xinping Xiao, et al.
Computational Economics (2025)
Closed Access
Enhanced Electricity Forecasting for Smart Buildings Using a TCN‐Bi‐LSTM Deep Learning Model
Sandeep Kumar Gautam, V.K. Shrivastava, Sandeep S. Udmale
Expert Systems (2025) Vol. 42, Iss. 3
Closed Access
BSAformer: bidirectional sequence splitting aggregation attention mechanism for long term series forecasting
Qingbo Zhu, Jialin Han, Sheng Yang, et al.
Complex & Intelligent Systems (2025) Vol. 11, Iss. 4
Open 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
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
Using Deep Learning Techniques in Forecasting Stock Markets by Hybrid Data with Multilingual Sentiment Analysis
Ying-Lei Lin, Chi-Ju Lai, Ping‐Feng Pai
Electronics (2022) Vol. 11, Iss. 21, pp. 3513-3513
Open Access | Times Cited: 22
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