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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:

Forecasting crude oil futures prices using BiLSTM-Attention-CNN model with Wavelet transform
Yu Lin, Kechi Chen, Xi Zhang, et al.
Applied Soft Computing (2022) Vol. 130, pp. 109723-109723
Closed Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Green finance and the socio-politico-economic factors’ impact on the future oil prices: Evidence from machine learning
Muhammad Mohsin, Fouad Jamaani
Resources Policy (2023) Vol. 85, pp. 103780-103780
Closed Access | Times Cited: 31
TLIA: Time-series forecasting model using long short-term memory integrated with artificial neural networks for volatile energy markets
Dalal AL-Alimi, Ayman Mutahar AlRassas, Mohammed A. A. Al‐qaness, et al.
Applied Energy (2023) Vol. 343, pp. 121230-121230
Closed Access | Times Cited: 26
A novel deep-learning technique for forecasting oil price volatility using historical prices of five precious metals in context of green financing – A comparison of deep learning, machine learning, and statistical models
Muhammad Mohsin, Fouad Jamaani
Resources Policy (2023) Vol. 86, pp. 104216-104216
Closed Access | Times Cited: 25
Estimating reference crop evapotranspiration using improved convolutional bidirectional long short-term memory network by multi-head attention mechanism in the four climatic zones of China
Juan Dong, Liwen Xing, Ningbo Cui, et al.
Agricultural Water Management (2024) Vol. 292, pp. 108665-108665
Open Access | Times Cited: 14
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: 11
Improving Long-Term Flood Forecasting Accuracy Using Ensemble Deep Learning Models and an Attention Mechanism
Marjan Kordani, Mohammad Reza Nikoo, Mahmood Fooladi, et al.
Journal of Hydrologic Engineering (2024) Vol. 29, Iss. 6
Closed Access | Times Cited: 11
Research on Crude Oil Futures Price Prediction Methods: A Perspective Based on Quantum Deep Learning
Dongsheng Zhai, Tianrui Zhang, Guoqiang Liang, et al.
Energy (2025), pp. 135080-135080
Closed Access | Times Cited: 1
Incorporating Russo-Ukrainian war in Brent crude oil price forecasting: A comparative analysis of ARIMA, TARMA and ENNReg models
Sagiru Mati, Magdalena Rădulescu, Najia Saqib, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21439-e21439
Open Access | Times Cited: 17
Improving long-term multivariate time series forecasting with a seasonal-trend decomposition-based 2-dimensional temporal convolution dense network
Jianhua Hao, Liu Fang-ai
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Deep learning systems for forecasting the prices of crude oil and precious metals
Parisa Foroutan, Salim Lahmiri
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 6
Can Denoising Enhance Prediction Accuracy of Learning Models? A Case of Wavelet Decomposition Approach
C. Tamilselvi, Md Yeasin, Ranjit Kumar Paul, et al.
Forecasting (2024) Vol. 6, Iss. 1, pp. 81-99
Open Access | Times Cited: 5
Resilience through mineral resource development, oil, and natural resource efficiency: Strengthening economies
Miaoyin Jia, Lu Gan, Youliang Yan, et al.
Resources Policy (2024) Vol. 91, pp. 104942-104942
Closed Access | Times Cited: 5
Attention-assisted hybrid 1D CNN-BiLSTM model for predicting electric field induced by transcranial magnetic stimulation coil
Khaleda Akhter Sathi, Md. Kamal Hosain, Md. Azad Hossain, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 12
Hybrid wavelet-neural network models for time series
Deniz Kenan Kılıç, Ömür Uğur
Applied Soft Computing (2023) Vol. 144, pp. 110469-110469
Open Access | Times Cited: 12
Backdoor Attacks with Wavelet Embedding: Revealing and enhancing the insights of vulnerabilities in visual object detection models on transformers within digital twin systems
M. Shen, Ruwei Huang
Advanced Engineering Informatics (2024) Vol. 60, pp. 102355-102355
Closed Access | Times Cited: 4
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
A Novel Approach To Predict WTI Crude Spot Oil Price: LSTM-Based Feature Extraction With Xgboost Regressor
Ahmed İhsan Şimşek, Emre Bulut, Yunus Emre Gür, et al.
Energy (2024) Vol. 309, pp. 133102-133102
Closed Access | Times Cited: 4
A hybrid system with optimized decomposition on random deep learning model for crude oil futures forecasting
Jie Wang, Ying Zhang
Expert Systems with Applications (2025), pp. 126706-126706
Closed Access
A novel method for corn futures price prediction integrating decomposition, denoising, feature selection and hybrid networks
Chen Yi
Annals of Operations Research (2025)
Closed Access
A Wind Speed Prediction Method Based on Signal Decomposition Technology Deep Learning Model
Jie Du, S. C. Chen, Linlin Pan, et al.
Energies (2025) Vol. 18, Iss. 5, pp. 1136-1136
Open Access
China Futures Market and World Container Shipping Economy: An Exploratory Analysis Based on Deep Learning
Zhenqing Su, Jiankun Li, Qiwei Pang, et al.
Research in International Business and Finance (2025), pp. 102870-102870
Closed Access
A crude oil price forecasting framework based on Constraint Guarantee and Pareto Fronts Shrinking Strategy
Y. Chen, Zhirui Tian
Applied Soft Computing (2025), pp. 112996-112996
Closed Access
Comparative Study of Data-Driven Short-Term Forecasting Techniques in Electricity Price Prediction
Rahul Sagwal, S. N. Singh, J. Ramkumar, et al.
Lecture notes in networks and systems (2025), pp. 215-232
Closed Access
Hybrid modelling of ruble exchange rates amidst the Russo-Ukrainian conflict using swarm and fuzzy neural networks
Raad Abdelhalim Ibrahim Alsakarneh, Sagiru Mati, Goran Yousif Ismael, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 153, pp. 110854-110854
Closed Access
A Hybrid Deep Learning Model for Air Quality Prediction Based on the Time–Frequency Domain Relationship
Rui Xu, Deke Wang, Jian Li, et al.
Atmosphere (2023) Vol. 14, Iss. 2, pp. 405-405
Open Access | Times Cited: 10
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