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 Agricultural Commodity Prices Using Model Selection Framework With Time Series Features and Forecast Horizons
Dabin Zhang, Shanying Chen, Liwen Ling, et al.
IEEE Access (2020) Vol. 8, pp. 28197-28209
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

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

Price forecasts of ten steel products using Gaussian process regressions
Xiaojie Xu, Yun Zhang
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106870-106870
Closed Access | Times Cited: 42

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 techniques for forecasting agricultural prices: A case of brinjal in Odisha, India
Ranjit Kumar Paul, Md Yeasin, Pramod Kumar, et al.
PLoS ONE (2022) Vol. 17, Iss. 7, pp. e0270553-e0270553
Open Access | Times Cited: 48

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

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: 29

The Application of Deep Learning in the Whole Potato Production Chain: A Comprehensive Review
Rui-Feng Wang, Wen‐Hao Su
Agriculture (2024) Vol. 14, Iss. 8, pp. 1225-1225
Open Access | Times Cited: 9

Healthcare Operations and Black Swan Event for COVID-19 Pandemic: A Predictive Analytics
Jinil Persis, Manimuthu Arunmozhi, V. Raja Sreedharan
IEEE Transactions on Engineering Management (2021) Vol. 70, Iss. 9, pp. 3229-3243
Open Access | Times Cited: 41

Long term and short term forecasting of horticultural produce based on the LSTM network model
Tumpa Banerjee, Shreyashee Sinha, Prasenjit Choudhury
Applied Intelligence (2022) Vol. 52, Iss. 8, pp. 9117-9147
Closed Access | Times Cited: 34

A two-step machine learning approach for dynamic model selection: A case study on a micro milling process
Yarens J. Cruz, Marcelino Rivas, Ramón Quiza, et al.
Computers in Industry (2022) Vol. 143, pp. 103764-103764
Closed Access | Times Cited: 28

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: 6

Ozone Concentration Forecasting Based on Artificial Intelligence Techniques: A Systematic Review
Ayman Yafouz, Ali Najah Ahmed, Nur’atiah Zaini, et al.
Water Air & Soil Pollution (2021) Vol. 232, Iss. 2
Closed Access | Times Cited: 38

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

Using a novel clustered 3D-CNN model for improving crop future price prediction
Liege Cheung, Yun Wang, Adela S. M. Lau, et al.
Knowledge-Based Systems (2022) Vol. 260, pp. 110133-110133
Open Access | Times Cited: 27

Development of MCS based-ensemble models using CEEMDAN decomposition and machine intelligence
Sandip Garai, Ranjit Kumar Paul
Intelligent Systems with Applications (2023) Vol. 18, pp. 200202-200202
Open Access | Times Cited: 15

Predicting Potato Prices in Agra, UP, India: An H2O AutoML Approach
Prity Kumari, Satish Kumar M, Prashant Vekariya, et al.
Potato Research (2024)
Closed Access | Times Cited: 5

Artificial Intelligence Tools for the Agriculture Value Chain: Status and Prospects
Fotis Assimakopoulos, Costas Vassilakis, Dionisis Margaris, et al.
Electronics (2024) Vol. 13, Iss. 22, pp. 4362-4362
Open Access | Times Cited: 5

Financial Time Series Prediction Using Pelican Optimized Extreme Learning Machine with Reduced Weights
P. Syamala Rao, G. Parthasaradhi Varma, Durga Prasad Chinta, et al.
Computational Economics (2025)
Closed Access

MACPGANA: design of a highly efficient multimodal agriculture commodity price prediction model via generative adversarial networks & autoencoders
Rubi kambo, Jyothi Pillai, Sunita Soni, et al.
International Journal of Information Technology (2025)
Closed Access

Exploring Efficient Model for Agricultural Commodity Price Prediction Using Data Analytics
Md Aminul Islam, Anindya Nag, Kashinath Basu, et al.
Lecture notes in networks and systems (2025), pp. 321-339
Closed Access

Novel forecasting of white maize futures volatility: a hybrid GARCH-based bi-directional LSTM model
Chun‐Sung Huang, Ayesha Sayed
Cogent Economics & Finance (2025) Vol. 13, Iss. 1
Open Access

Construction of Agricultural Economic-Level Prediction Model Based on GWO-SVM Algorithm
M. H. Li
International Journal of Agricultural and Environmental Information Systems (2025) Vol. 16, Iss. 1, pp. 1-17
Open Access

Performance comparison of wavelets-based machine learning technique for forecasting agricultural commodity prices
Ranjit Kumar Paul, Sandip Garai
Soft Computing (2021) Vol. 25, Iss. 20, pp. 12857-12873
Closed Access | Times Cited: 27

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