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:

Novel deterministic and probabilistic forecasting methods for crude oil price employing optimized deep learning, statistical and hybrid models
Sourav Kumar Purohit, Sibarama Panigrahi
Information Sciences (2023) Vol. 658, pp. 120021-120021
Closed Access | Times Cited: 14

Showing 14 citing articles:

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
Crude Oil Price Forecasting Using Hybridization of Optimized Deep Learning and Shallow Machine Learning Models
Sourav Kumar Purohit, Sibarama Panigrahi, Amarnath Jena
Communications in computer and information science (2025), pp. 3-16
Closed Access
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
Optimization of deterministic and probabilistic forecasting for wind power based on ensemble learning
Sen Wang, Yonghui Sun, Wenjie Zhang, et al.
Energy (2025), pp. 134884-134884
Closed Access
Deep learning methods and evaluation of the extensive carbon emission predictive solution for Danish grid
Seyed Mahdi Miraftabzadeh, Mohammed Ali Khan, Navid Bayati, et al.
Sustainable Energy Technologies and Assessments (2025) Vol. 75, pp. 104242-104242
Open Access
How uncertain are oil prices? bayesian regularized distribution neural network for forecasting oil prices
He Jiang, Yawei Dong, Shaolong Sun, et al.
Applied Economics (2025), pp. 1-17
Closed Access
Machine learning Ethereum cryptocurrency prediction and knowledge-based investment strategies
Adrián Viéitez, Matilde Santos, Rodrigo Naranjo
Knowledge-Based Systems (2024) Vol. 299, pp. 112088-112088
Open Access | Times Cited: 3
A non-destructive detection method of protein and TVB-N content changes in refrigerated and frozen-thawed salmon fillets using fluorescence hyperspectral technology
Zhiyong Zou, Meng-Hua Li, Qianlong Wang, et al.
Journal of Food Composition and Analysis (2024) Vol. 133, pp. 106435-106435
Closed Access | Times Cited: 3
Combining Seasonal and Trend Decomposition Using LOESS With a Gated Recurrent Unit for Climate Time Series Forecasting
Xiao Liu, Qianqian Zhang
IEEE Access (2024) Vol. 12, pp. 85275-85290
Open Access | Times Cited: 2
Pronóstico del Precio de Barril de Petróleo en México para el Periodo Febrero de 2023 a Enero de 2024 Mediante un Modelo ARIMA en RStudio
César Ángel Fierro Torres, Arturo Woocay, Claudia Irene Torres Saucedo, et al.
Ciencia Latina Revista Científica Multidisciplinar (2024) Vol. 8, Iss. 3, pp. 1147-1172
Open Access
Spread Rate Forecasting in Well Cost Estimation – A Study of Methods and Applications
Thanawit Ounsakul, T. Techanukul, C. Phasook, et al.
(2024)
Closed Access
China Crude Oil Futures Volatility Forecasting Using LSTM Model with Optimal Noise Decomposition
Wei Jiang, Wanqing Tang, Huizhi Liu, et al.
Discrete Dynamics in Nature and Society (2024) Vol. 2024, Iss. 1
Open Access
A hybrid model based on iTransformer for risk warning of crude oil price fluctuations
Jinchao Li, Yang Guo
Energy (2024), pp. 134199-134199
Closed Access
Predicting Macro-Economic Factors of WTI Crude Oil Using Monte Carlo Simulation
Sharon Divyaa, Roshan Saravanane, Mohan Kumar
(2024), pp. 1-7
Closed Access
Page 1

Scroll to top