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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:

Machine Learning for Price Prediction for Agricultural Products
Sussy Bayona-Oré, Rino Cerna, Eduardo Tirado Hinojoza
WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS (2021) Vol. 18, pp. 969-977
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Forecasting wholesale prices of yellow corn through the Gaussian process regression
Bingzi Jin, Xiaojie Xu
Neural Computing and Applications (2024) Vol. 36, Iss. 15, pp. 8693-8710
Closed Access | Times Cited: 145
Wholesale price forecasts of green grams using the neural network
Bingzi Jin, Xiaojie Xu
Asian Journal of Economics and Banking (2024)
Open Access | Times Cited: 104
Commodity price forecasting via neural networks for coffee, corn, cotton, oats, soybeans, soybean oil, sugar, and wheat
Xiaojie Xu, Yun Zhang
Intelligent Systems in Accounting Finance & Management (2022) Vol. 29, Iss. 3, pp. 169-181
Closed Access | Times Cited: 75
Palladium Price Predictions via Machine Learning
Bingzi Jin, Xiaojie Xu
Materials Circular Economy (2024) Vol. 6, Iss. 1
Closed Access | Times Cited: 50
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: 48
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: 19
Machine learning price index forecasts of flat steel products
Bingzi Jin, Xiaojie Xu
Mineral Economics (2024)
Closed Access | Times Cited: 16
Soybean and Soybean Oil Price Forecasting through the Nonlinear Autoregressive Neural Network (NARNN) and NARNN with Exogenous Inputs (NARNN–X)
Xiaojie Xu, Yun Zhang
Intelligent Systems with Applications (2022) Vol. 13, pp. 200061-200061
Open Access | Times Cited: 57
Canola and soybean oil price forecasts via neural networks
Xiaojie Xu, Yun Zhang
Advances in Computational Intelligence (2022) Vol. 2, Iss. 5
Open Access | Times Cited: 43
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: 39
Yellow corn wholesale price forecasts via the neural network
Xiaojie Xu, Yun Zhang
EconomiA (2023) Vol. 24, Iss. 1, pp. 44-67
Open Access | Times Cited: 37
Corn cash-futures basis forecasting via neural networks
Xiaojie Xu, Yun Zhang
Advances in Computational Intelligence (2023) Vol. 3, Iss. 2
Closed Access | Times Cited: 35
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
Wholesale Food Price Index Forecasts with the Neural Network
Xiaojie Xu, Yun Zhang
International Journal of Computational Intelligence and Applications (2023) Vol. 22, Iss. 04
Closed Access | Times Cited: 28
Prediction of Agricultural Commodity Prices using Big Data Framework
Humaira Rana, Muhammad Farooq, Abdul Karim Kazi, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 1, pp. 12652-12658
Open Access | Times Cited: 9
Agricultural commodity price prediction model: a machine learning framework
Manas Kumar Mohanty, Parag Kumar Guha Thakurta, Samarjit Kar
Neural Computing and Applications (2023) Vol. 35, Iss. 20, pp. 15109-15128
Closed Access | Times Cited: 14
Machine learning to predict grains futures prices
Paolo Libenzio Brignoli, Alessandro Varacca, Cornelis Gardebroek, et al.
Agricultural Economics (2024) Vol. 55, Iss. 3, pp. 479-497
Open Access | Times Cited: 5
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: 5
Scrap steel price predictions for southwest China via machine learning
Bingzi Jin, Xiaojie Xu
Innovation and Emerging Technologies (2025) Vol. 12
Closed Access
Thai Morning Glory Price Forecasting Using Deep Learning
Kanokwan Waeodi, Laor Boongasame, Karanrat Thammarak
Applied Computational Intelligence and Soft Computing (2025) Vol. 2025, Iss. 1
Open Access
Machine learning Brent crude oil price forecasts
Bingzi Jin, Xiaojie Xu
Innovation and Emerging Technologies (2024) Vol. 11
Closed Access | Times Cited: 3
Steel price index forecasts through machine learning for northwest China
Bingzi Jin, Xiaojie Xu
Mineral Economics (2024)
Closed Access | Times Cited: 2
Random forest model for forecasting vegetable prices: a case study in Nakhon Si Thammarat Province, Thailand
Sopee Kaewchada, Somporn Ruang-on, Uthai Kuhapong, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2023) Vol. 13, Iss. 5, pp. 5265-5265
Open Access | Times Cited: 4
Comparative Study on TCP SYN Flood DDoS Attack Detection: A Machine Learning Algorithm Based Approach
S. Sumathi, R. Rajesh
WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL (2021) Vol. 16, pp. 584-591
Open Access | Times Cited: 10
Comparative Analysis of CNN, LSTM And Random Forest for Multivariate Agricultural Price Forecasting
Cevher Özden
Black Sea Journal of Agriculture (2023) Vol. 6, Iss. 4, pp. 422-426
Open Access | Times Cited: 3
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