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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 Copper Prices Using Hybrid Adaptive Neuro-Fuzzy Inference System and Genetic Algorithms
Zakaria Alameer, Mohamed Abd Elaziz, Ahmed A. Ewees, et al.
Natural Resources Research (2019) Vol. 28, Iss. 4, pp. 1385-1401
Closed Access | Times Cited: 82

Showing 1-25 of 82 citing articles:

Optimization Method for Forecasting Confirmed Cases of COVID-19 in China
Mohammed A. A. Al‐qaness, Ahmed A. Ewees, Hong Fan, et al.
Journal of Clinical Medicine (2020) Vol. 9, Iss. 3, pp. 674-674
Open Access | Times Cited: 445
Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network
Yishun Liu, Chunhua Yang, Keke Huang, et al.
Knowledge-Based Systems (2019) Vol. 188, pp. 105006-105006
Closed Access | Times Cited: 216
The impact of economic and non-economic determinants on the natural resources commodity prices volatility in China
Fengsheng Chien, Ka Yin Chau, Muhammad Sadiq, et al.
Resources Policy (2022) Vol. 78, pp. 102863-102863
Closed Access | Times Cited: 86
Machine learning predictions of regional steel price indices for east China
Bingzi Jin, Xiaojie Xu
Ironmaking & Steelmaking Processes Products and Applications (2024)
Closed Access | Times Cited: 68
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
Platinum and palladium price forecasting through neural networks
Xiaojie Xu, Yun Zhang
Communications in Statistics - Simulation and Computation (2024), pp. 1-15
Closed Access | Times Cited: 20
Machine learning price index forecasts of flat steel products
Bingzi Jin, Xiaojie Xu
Mineral Economics (2024)
Closed Access | Times Cited: 17
Predicting Scrap Steel Prices Through Machine Learning for South China
Bingzi Jin, Xiaojie Xu
Materials Circular Economy (2025) Vol. 7, Iss. 1
Closed Access | Times Cited: 3
Multistep-ahead forecasting of coal prices using a hybrid deep learning model
Zakaria Alameer, Ahmed Fathalla, Kenli Li, et al.
Resources Policy (2020) Vol. 65, pp. 101588-101588
Closed Access | Times Cited: 118
Marine Predators Algorithm for Forecasting Confirmed Cases of COVID-19 in Italy, USA, Iran and Korea
Mohammed A. A. Al‐qaness, Ahmed A. Ewees, Hong Fan, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 10, pp. 3520-3520
Open Access | Times Cited: 118
Intelligent Prediction of Blasting-Induced Ground Vibration Using ANFIS Optimized by GA and PSO
Haiqing Yang, Mahdi Hasanipanah, Mahmood Md. Tahir, et al.
Natural Resources Research (2019) Vol. 29, Iss. 2, pp. 739-750
Closed Access | Times Cited: 101
Improved ANFIS model for forecasting Wuhan City Air Quality and analysis COVID-19 lockdown impacts on air quality
Mohammed A. A. Al‐qaness, Hong Fan, Ahmed A. Ewees, et al.
Environmental Research (2020) Vol. 194, pp. 110607-110607
Closed Access | Times Cited: 98
Improving multilayer perceptron neural network using chaotic grasshopper optimization algorithm to forecast iron ore price volatility
Ahmed A. Ewees, Mohamed Abd Elaziz, Zakaria Alameer, et al.
Resources Policy (2019) Vol. 65, pp. 101555-101555
Closed Access | Times Cited: 82
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
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
Predicting open interest in thermal coal futures using machine learning
Bingzi Jin, Xiaojie Xu
Mineral Economics (2024)
Closed Access | Times Cited: 11
Machine learning platinum price predictions
Bingzi Jin, Xiaojie Xu
The Engineering Economist (2025), pp. 1-27
Closed Access | Times Cited: 1
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
Developing a new uncertain rule-based fuzzy approach for evaluating the blast-induced backbreak
Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh
Engineering With Computers (2020)
Closed Access | Times Cited: 55
A Review of the Applications of Genetic Algorithms to Forecasting Prices of Commodities
Krzysztof Drachal, Michal E. Pawlowski
Economies (2021) Vol. 9, Iss. 1, pp. 6-6
Open Access | Times Cited: 44
Forecasting monthly copper price: A comparative study of various machine learning-based methods
Hong Zhang, Hoang Nguyen, Diep-Anh Vu, et al.
Resources Policy (2021) Vol. 73, pp. 102189-102189
Closed Access | Times Cited: 42
LNBi-GRU model for coal price prediction and pattern recognition analysis
Mengjie Xu, Xiang Li, Qianwen Li, et al.
Applied Energy (2024) Vol. 365, pp. 123302-123302
Closed Access | Times Cited: 7
Regional steel price index predictions for the southwest Chinese market through machine learning
Bingzi Jin, Xiaojie Xu
Ironmaking & Steelmaking Processes Products and Applications (2024)
Closed Access | Times Cited: 7
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