Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

An effective rolling decomposition-ensemble model for gasoline consumption forecasting
Lean Yu, Yueming Ma, Mengyao Ma
Energy (2021) Vol. 222, pp. 119869-119869
Closed Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

A multi-scale analysis method with multi-feature selection for house prices forecasting
Jin Shao, Lean Yu, Nengmin Zeng, et al.
Applied Soft Computing (2025), pp. 112779-112779
Closed Access | Times Cited: 2
A novel machine learning-based electricity price forecasting model based on optimal model selection strategy
Wendong Yang, Shaolong Sun, Hao Yan, et al.
Energy (2021) Vol. 238, pp. 121989-121989
Closed Access | Times Cited: 102
Interval forecasting of carbon price: A novel multiscale ensemble forecasting approach
Bangzhu Zhu, Chunzhuo Wan, Ping Wang
Energy Economics (2022) Vol. 115, pp. 106361-106361
Closed Access | Times Cited: 44
Forecasting the crude oil prices with an EMD-ISBM-FNN model
Tianhui Fang, Chunling Zheng, Donghua Wang
Energy (2022) Vol. 263, pp. 125407-125407
Closed Access | Times Cited: 40
Predicting the ammonia nitrogen of wastewater treatment plant influent via integrated model based on rolling decomposition method and deep learning algorithm
Kefen Yan, Chaolin Li, Ruobin Zhao, et al.
Sustainable Cities and Society (2023) Vol. 94, pp. 104541-104541
Closed Access | Times Cited: 27
New energy vehicles sales forecasting using machine learning: The role of media sentiment
Jin Shao, Jingke Hong, Meiping Wang, et al.
Computers & Industrial Engineering (2025) Vol. 201, pp. 110928-110928
Closed Access | Times Cited: 1
Forecasting carbon price: A novel multi-factor spatial-temporal GNN framework integrating graph WaveNet and self-attention mechanism
Jin Cao, Xie Chi, Yang Zhou, et al.
Energy Economics (2025), pp. 108318-108318
Closed Access | Times Cited: 1
An Approach for Demand Forecasting in Steel Industries Using Ensemble Learning
S. M. Taslim Uddin Raju, Amlan Sarker, Apurba Das, et al.
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 32
Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions
Yinsong Chen, Samson S. Yu, Shama Naz Islam, et al.
Energy Reports (2022) Vol. 8, pp. 8805-8820
Open Access | Times Cited: 30
A new perspective on air quality index time series forecasting: A ternary interval decomposition ensemble learning paradigm
Zicheng Wang, Ruobin Gao, Piao Wang, et al.
Technological Forecasting and Social Change (2023) Vol. 191, pp. 122504-122504
Closed Access | Times Cited: 22
Rolling decomposition method in fusion with echo state network for wind speed forecasting
Huanling Hu, Lin Wang, Dabin Zhang, et al.
Renewable Energy (2023) Vol. 216, pp. 119101-119101
Closed Access | Times Cited: 22
A load forecasting approach for integrated energy systems based on aggregation hybrid modal decomposition and combined model
Haoyu Chen, Huang Hai, Yong Zheng, et al.
Applied Energy (2024) Vol. 375, pp. 124166-124166
Closed Access | Times Cited: 8
Petroleum products consumption forecasting based on a new structural auto-adaptive intelligent grey prediction model
Flavian Emmanuel Sapnken, Jean Gaston Tamba
Expert Systems with Applications (2022) Vol. 203, pp. 117579-117579
Closed Access | Times Cited: 27
Monthly ship price forecasting based on multivariate variational mode decomposition
Zicheng Wang, Liren Chen, Huayou Chen, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106698-106698
Closed Access | Times Cited: 16
Forecasting electricity production from various energy sources in Türkiye: A predictive analysis of time series, deep learning, and hybrid models
Emrah Gülay, Mustafa Sen, Omer Burak Akgun
Energy (2023) Vol. 286, pp. 129566-129566
Closed Access | Times Cited: 15
Ultra-short-term wind power prediction model based on fixed scale dual mode decomposition and deep learning networks
Jiuyuan Huo, Jihao Xu, Chen Chang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108501-108501
Closed Access | Times Cited: 5
Crude oil hierarchical catalytic cracking for maximizing chemicals production: Pilot-scale test, process optimization strategy, techno-economic-society-environment assessment
Xin Zhou, Shangfeng Li, Yuan Wang, et al.
Energy Conversion and Management (2021) Vol. 253, pp. 115149-115149
Closed Access | Times Cited: 31
Forecasting carbon market volatility with big data
Bangzhu Zhu, Chunzhuo Wan, Ping Wang, et al.
Annals of Operations Research (2023)
Closed Access | Times Cited: 11
LSTM Model Combined with Rolling Empirical Mode Decomposition and Sample Entropy Reconstruction for Short-Term Wind Speed Forecasting
Sen Yao, Hong Zhu, Xin Zhou, et al.
Processes (2025) Vol. 13, Iss. 3, pp. 819-819
Open Access
A hybrid wind speed forecasting model with rolling mapping decomposition and temporal convolutional networks
Xiangjun Cai, Dagang Li, Yunfeng Zou, et al.
Energy (2025) Vol. 324, pp. 135673-135673
Closed Access
A memory-trait-driven decomposition–reconstruction–ensemble​ learning paradigm for oil price forecasting
Lean Yu, Mengyao Ma
Applied Soft Computing (2021) Vol. 111, pp. 107699-107699
Closed Access | Times Cited: 24
Dual-stage ensemble approach using online knowledge distillation for forecasting carbon emissions in the electric power industry
Ruibin Lin, Xing Lv, Huanling Hu, et al.
Data Science and Management (2023) Vol. 6, Iss. 4, pp. 227-238
Open Access | Times Cited: 10
Forecasting East and West Coast Gasoline Prices with Tree-Based Machine Learning Algorithms
Emmanouil Sofianos, Emmanouil Zaganidis, Théophilos Papadimitriou, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1296-1296
Open Access | Times Cited: 3
Electricity consumption prediction based on a dynamic decomposition-denoising-ensemble approach
Feng Gao, Xueyan Shao
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108521-108521
Closed Access | Times Cited: 3
Forecasting house price index with social media sentiment: A decomposition–ensemble approach
Jin Shao, Lean Yu, Jingke Hong, et al.
Journal of Forecasting (2024) Vol. 44, Iss. 1, pp. 216-241
Closed Access | Times Cited: 3
Page 1 - Next Page

Scroll to top