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 new hybrid model for forecasting Brent crude oil price
Hooman Abdollahi, Seyed Babak Ebrahimi
Energy (2020) Vol. 200, pp. 117520-117520
Closed Access | Times Cited: 107

Showing 1-25 of 107 citing articles:

A review on catalytic pyrolysis of plastic wastes to high-value products
Yujie Peng, Yunpu Wang, Linyao Ke, et al.
Energy Conversion and Management (2022) Vol. 254, pp. 115243-115243
Closed Access | Times Cited: 319

Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization
Seçkin Karasu, Aytaç Altan
Energy (2021) Vol. 242, pp. 122964-122964
Closed Access | Times Cited: 182

Price forecasting through neural networks for crude oil, heating oil, and natural gas
Bingzi Jin, Xiaojie Xu
Deleted Journal (2024) Vol. 1, pp. 100001-100001
Open Access | Times Cited: 135

The effect of green energy, global environmental indexes, and stock markets in predicting oil price crashes: Evidence from explainable machine learning
Sami Ben Jabeur, Rabeh Khalfaoui, Wissal Ben Arfi
Journal of Environmental Management (2021) Vol. 298, pp. 113511-113511
Open Access | Times Cited: 111

Predicting the changes in the WTI crude oil price dynamics using machine learning models
Hasraddin Guliyev, Eldayag Mustafayev
Resources Policy (2022) Vol. 77, pp. 102664-102664
Closed Access | Times Cited: 70

Recent Research Advancements in Catalytic Pyrolysis of Plastic Waste
Rahul Mishra, Aman Kumar, Ekta Singh, et al.
ACS Sustainable Chemistry & Engineering (2023) Vol. 11, Iss. 6, pp. 2033-2049
Closed Access | Times Cited: 70

Forecast energy demand, CO2 emissions and energy resource impacts for the transportation sector
Majid Emami Javanmard, Yidan Tang, Zhongjie WANG, et al.
Applied Energy (2023) Vol. 338, pp. 120830-120830
Closed Access | Times Cited: 69

Palladium Price Predictions via Machine Learning
Bingzi Jin, Xiaojie Xu
Materials Circular Economy (2024) Vol. 6, Iss. 1
Closed Access | Times Cited: 52

Predictions of steel price indices through machine learning for the regional northeast Chinese market
Bingzi Jin, Xiaojie Xu
Neural Computing and Applications (2024) Vol. 36, Iss. 33, pp. 20863-20882
Closed Access | Times Cited: 52

Thermal coal futures trading volume predictions through the neural network
Bingzi Jin, Xiaojie Xu, Yun Zhang
Journal of Modelling in Management (2024)
Closed Access | Times Cited: 33

Machine learning price index forecasts of flat steel products
Bingzi Jin, Xiaojie Xu
Mineral Economics (2024)
Closed Access | Times Cited: 17

Predicting future Brent oil price on global markets
Marek Vochоzka, Tomáš Krulický, Pedro Pardal
Acta Montanistica Slovaca (2020) Vol. 25, pp. 375-392
Open Access | Times Cited: 122

A novel hybrid model for forecasting crude oil price based on time series decomposition
Hooman Abdollahi
Applied Energy (2020) Vol. 267, pp. 115035-115035
Closed Access | Times Cited: 102

Short-term forecasting of natural gas prices by using a novel hybrid method based on a combination of the CEEMDAN-SE-and the PSO-ALS-optimized GRU network
Jun Wang, Junxing Cao, Shan Yuan, et al.
Energy (2021) Vol. 233, pp. 121082-121082
Closed Access | Times Cited: 91

Hybridization of hybrid structures for time series forecasting: a review
Zahra Hajirahimi, Mehdi Khashei
Artificial Intelligence Review (2022) Vol. 56, Iss. 2, pp. 1201-1261
Closed Access | Times Cited: 67

A state-of-the-art review on waste plastics-derived aviation fuel: Unveiling the heterogeneous catalytic systems and techno-economy feasibility of catalytic pyrolysis
Ijaz Hussain, Saheed A. Ganiyu, Hassan Alasiri, et al.
Energy Conversion and Management (2022) Vol. 274, pp. 116433-116433
Closed Access | Times Cited: 42

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

Steel price index forecasting through neural networks: the composite index, long products, flat products, and rolled products
Xiaojie Xu, Yun Zhang
Mineral Economics (2022) Vol. 36, Iss. 4, pp. 563-582
Closed Access | Times Cited: 40

Forecasting Day-Ahead Brent Crude Oil Prices Using Hybrid Combinations of Time Series Models
Hasnain Iftikhar, Aimel Zafar, Josué Edison Turpo Chaparro, et al.
Mathematics (2023) Vol. 11, Iss. 16, pp. 3548-3548
Open Access | Times Cited: 33

Scrap steel price forecasting with neural networks for east, north, south, central, northeast, and southwest China and at the national level
Xiaojie Xu, Yun Zhang
Ironmaking & Steelmaking Processes Products and Applications (2023) Vol. 50, Iss. 11, pp. 1683-1697
Closed Access | Times Cited: 31

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

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

Navigating the nexus: Geopolitical risk, fossil energy prices, and European utility stock returns - Implications for environmental management and energy security in a conflict-ridden global landscape
Tianle Yang, Sentao Fang, Min Du, et al.
Journal of Environmental Management (2024) Vol. 352, pp. 120086-120086
Closed Access | Times Cited: 10

Scrap steel price predictions for southwest China via machine learning
Bingzi Jin, Xiaojie Xu
Innovation and Emerging Technologies (2025) Vol. 12
Closed Access | Times Cited: 1

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