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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:

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

Showing 1-25 of 44 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
A comprehensive review on deep learning approaches for short-term load forecasting
Yavuz Eren, İbrahim Beklan Küçükdemiral
Renewable and Sustainable Energy Reviews (2023) Vol. 189, pp. 114031-114031
Open Access | Times Cited: 61
Optimization and prediction of energy consumption, light and thermal comfort in teaching building atriums using NSGA-II and machine learning
Zhengshu Chen, Yanqiu Cui, Haichao Zheng, et al.
Journal of Building Engineering (2024) Vol. 86, pp. 108687-108687
Closed Access | Times Cited: 17
Evaluation of energy consumption data for business consumers
Anchal Pathak, A. Deivasree Anbu, A. Jamil, et al.
Environment Development and Sustainability (2025)
Closed Access | Times Cited: 1
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
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
Accurate and efficient daily carbon emission forecasting based on improved ARIMA
Weiyi Zhong, Dengshuai Zhai, Wenran Xu, et al.
Applied Energy (2024) Vol. 376, pp. 124232-124232
Closed Access | Times Cited: 10
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
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
Integrated Approaches in Resilient Hierarchical Load Forecasting via TCN and Optimal Valley Filling Based Demand Response Application
A. Selim Türkoğlu, Burcu Erkmen, Yavuz Eren, et al.
Applied Energy (2024) Vol. 360, pp. 122722-122722
Closed Access | Times Cited: 6
Distributed intelligence for IoT-based smart cities: a survey
Mohamed Hashem, Aisha Siddiqa, Fadele Ayotunde Alaba, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 27, pp. 16621-16656
Closed Access | Times Cited: 6
Exploring the impacts of education and unemployment on CO2 emissions
Xin Ying, Shuobin Yang, Muhammad Faisal Rasheed
Economic Research-Ekonomska Istraživanja (2022) Vol. 36, Iss. 2
Open Access | Times Cited: 25
A wind speed forecasting framework for multiple turbines based on adaptive gate mechanism enhanced multi-graph attention networks
Yufeng Wang, Zihan Yang, Jianhua Ma, et al.
Applied Energy (2024) Vol. 372, pp. 123777-123777
Closed Access | Times Cited: 4
Multi-Step Ahead Forecasting of the Energy Consumed by the Residential and Commercial Sectors in the United States Based on a Hybrid CNN-BiLSTM Model
Yifei Chen, Zhihan Fu
Sustainability (2023) Vol. 15, Iss. 3, pp. 1895-1895
Open Access | Times Cited: 11
Leveraging machine learning to forecast carbon returns: Factors from energy markets
Yingying Xu, Yifan Dai, Lingling Guo, et al.
Applied Energy (2023) Vol. 357, pp. 122515-122515
Closed Access | Times Cited: 11
Assessment of the economic impact of forecasting errors in Peer-to-Peer energy trading
Bidan Zhang, Guannan He, Yang Du, et al.
Applied Energy (2024) Vol. 374, pp. 123750-123750
Closed Access | Times Cited: 3
Short-Term Photovoltaic Power Forecasting Based on Historical Information and Deep Learning Methods
Xianchao Guo, Yuchang Mo, Ke Yan
Sensors (2022) Vol. 22, Iss. 24, pp. 9630-9630
Open Access | Times Cited: 14
Multi-level CEP rules automatic extraction approach for air quality detection and energy conservation decision based on AI technologies
Yuan Liu, Wangyang Yu, Xiaojun Zhai, et al.
Applied Energy (2024) Vol. 372, pp. 123724-123724
Closed Access | Times Cited: 2
Household Energy Consumption Forecasting based on Adaptive Signal Decomposition Enhanced iTransformer Network
Jian Liu, Fan Yang, Ke Yan, et al.
Energy and Buildings (2024) Vol. 324, pp. 114894-114894
Closed Access | Times Cited: 2
Special issue on Distributed Intelligence at the Edge for the Future Internet of Things
Andrzej Gościński, Flávia C. Delicato, Giancarlo Fortino, et al.
Journal of Parallel and Distributed Computing (2022) Vol. 171, pp. 157-162
Closed Access | Times Cited: 11
Extended belief rule-based system using bi-level joint optimization for environmental investment forecasting
Long-Hao Yang, Fei-Fei Ye, Ying-Ming Wang, et al.
Applied Soft Computing (2023) Vol. 140, pp. 110275-110275
Closed Access | Times Cited: 6
Advancements in Household Load Forecasting: Deep Learning Model with Hyperparameter Optimization
Hamdi A. Al-Jamimi, Galal M. BinMakhashen, Muhammed Y. Worku, et al.
Electronics (2023) Vol. 12, Iss. 24, pp. 4909-4909
Open Access | Times Cited: 6
AI Empowered Virtual Reality Integrated Systems for Sleep Stage Classification and Quality Enhancement
Jing Huang, Lifeng Ren, Lifang Feng, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 1494-1503
Open Access | Times Cited: 9
A Survey on Deep Learning for Building Load Forecasting
Ioannis Patsakos, Εleni Vrochidou, George A. Papakostas
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-25
Open Access | Times Cited: 8
Deep Learning Based Energy Consumption Prediction on Internet of Things Environment
S. Balaji, S. Karthik
Intelligent Automation & Soft Computing (2023) Vol. 37, Iss. 1, pp. 727-743
Open Access | Times Cited: 4
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