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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:

A novel hybrid model based on deep learning and error correction for crude oil futures prices forecast
Tunhua Wu, Jinghan Dong, Zhaocai Wang, et al.
Resources Policy (2023) Vol. 83, pp. 103602-103602
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Spatio-temporal deep learning model for accurate streamflow prediction with multi-source data fusion
Zhaocai Wang, Nannan Xu, Xiaoguang Bao, et al.
Environmental Modelling & Software (2024) Vol. 178, pp. 106091-106091
Closed Access | Times Cited: 33
A data-driven model for water quality prediction in Tai Lake, China, using secondary modal decomposition with multidimensional external features
Rui Tan, Zhaocai Wang, Tunhua Wu, et al.
Journal of Hydrology Regional Studies (2023) Vol. 47, pp. 101435-101435
Open Access | Times Cited: 26
A novel hybrid model for crude oil price forecasting based on MEEMD and Mix-KELM
Jingjing Li, Zhanjiang Hong, Chengyuan Zhang, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123104-123104
Closed Access | Times Cited: 10
A hybrid annual runoff prediction model using echo state network and gated recurrent unit based on sand cat swarm optimization with Markov chain error correction method
Jun Wang, Wenchuan Wang, Xiao-xue Hu, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 6, pp. 1425-1453
Open Access | Times Cited: 6
A dual decomposition integration and error correction model for carbon price prediction
Yanan Li, Xinsheng Zhang, Minghu Wang
Journal of Environmental Management (2025) Vol. 374, pp. 124035-124035
Closed Access
A combined model using secondary decomposition for crude oil futures price and volatility forecasting: Analysis based on comparison and ablation experiments
Hao Gong, H. Y. Xing, Yuanyuan Yu, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124196-124196
Closed Access | Times Cited: 4
Error correction method based on deep learning for improving the accuracy of conceptual rainfall-runoff model
Wang Wenchuan, Yanwei Zhao, Dongmei Xu, et al.
Journal of Hydrology (2024), pp. 131992-131992
Closed Access | Times Cited: 4
Interval prediction of crude oil spot price volatility: An improved hybrid model integrating decomposition strategy, IESN and ARIMA
Jinliang Zhang, ziyi Liu
Expert Systems with Applications (2024) Vol. 252, pp. 124195-124195
Closed Access | Times Cited: 3
Macroeconomic shocks, market uncertainty and speculative bubbles: a decomposition-based predictive model of Indian stock markets
Indranil Ghosh, Tamal Datta Chaudhuri, Sunita Sarkar, et al.
China Finance Review International (2024)
Closed Access | Times Cited: 3
Enhance carbon emission prediction using bidirectional long short-term memory model based on text-based and data-driven multimodal information fusion
Yanyu Li, Zhaocai Wang, Siyu Liu
Journal of Cleaner Production (2024) Vol. 471, pp. 143301-143301
Closed Access | Times Cited: 3
Machine learning Brent crude oil price forecasts
Bingzi Jin, Xiaojie Xu
Innovation and Emerging Technologies (2024) Vol. 11
Closed Access | Times Cited: 3
A novel non-ferrous metal price hybrid forecasting model based on data preprocessing and error correction
Zhichao He, J. S. Huang
Resources Policy (2023) Vol. 86, pp. 104189-104189
Closed Access | Times Cited: 9
Research on runoff interval prediction method based on deep learning ensemble modeling with hydrological factors
Jinghan Huang, Zhaocai Wang, Jinghan Dong, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access | Times Cited: 2
Addressing the contradiction between water supply and demand: a study on multi-objective regional water resources optimization allocation
Jingyi Chu, Zhaocai Wang, Xiaoguang Bao, et al.
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 2
A Novel Approach for Reconstruction of IMFs of Decomposition and Ensemble Model for Forecasting of Crude Oil Prices
Muhammad Naeem, Muhammad Aamir, Jian Yu, et al.
IEEE Access (2024) Vol. 12, pp. 34192-34207
Open Access | Times Cited: 2
Bionic-inspired oil price prediction: Auditory multi-feature collaboration network
Han Wu, Yan Liang, Xiao‐Zhi Gao, et al.
Expert Systems with Applications (2023) Vol. 244, pp. 122971-122971
Closed Access | Times Cited: 5
A novel prediction model to evaluate the dynamic interrelationship between gold and crude oil
Sarth Pandit, Xiaojun Luo
International Journal of Data Science and Analytics (2024)
Open Access | Times Cited: 1
A novel framework for high resolution air quality index prediction with interpretable artificial intelligence and uncertainties estimation
Junhao Wu, Xi Chen, Rui Li, et al.
Journal of Environmental Management (2024) Vol. 357, pp. 120785-120785
Closed Access | Times Cited: 1
Daily PM2.5 concentration prediction based on variational modal decomposition and deep learning for multi-site temporal and spatial fusion of meteorological factors
Xinrong Xie, Zhaocai Wang, Manli Xu, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 9
Closed Access | Times Cited: 1
A heterogeneous ensemble architecture coupling model selection sorting and residual error iterative correction for crude oil price forecasting
Rui Yang, Hui Liu, Yanfei Li
Applied Soft Computing (2023) Vol. 148, pp. 110865-110865
Closed Access | Times Cited: 4
Forecasting value-at-risk of crude oil futures using a hybrid ARIMA-SVR-POT model
Chen Zhang, Xinmiao Zhou
Heliyon (2023) Vol. 10, Iss. 1, pp. e23358-e23358
Open Access | Times Cited: 4
Crude Oil Prices Forecast Based on Mixed-Frequency Deep Learning Approach and Intelligent Optimization Algorithm
Wanbo Lu, Zhaojie Huang
Entropy (2024) Vol. 26, Iss. 5, pp. 358-358
Open Access | Times Cited: 1
Crude oil price prediction using temporal fusion transformer model
Kaijian He, Linyuan Zheng, Qian Yang, et al.
Procedia Computer Science (2023) Vol. 221, pp. 927-932
Open Access | Times Cited: 3
A novel crude oil futures trading strategy based on volume-price time-frequency decomposition with ensemble deep reinforcement learning
Xiao-xu Du, Zhenpeng Tang, Kaijie Chen
Energy (2023) Vol. 285, pp. 129394-129394
Closed Access | Times Cited: 3
Quantum Neural Network for Time Series Forecasting: Harnessing Quantum Computing's Potential in Predictive Modeling
D. Balakrishnan, Umasree Mariappan, Pagadala Geetha Manikanta Raghavendra, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 2
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