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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:

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

Showing 1-25 of 27 citing articles:

Various optimized machine learning techniques to predict agricultural commodity prices
Murat Sarı, Serbay Duran, Hüseyin Kutlu, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 19, pp. 11439-11459
Open Access | Times Cited: 6
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
European Union 2030 Carbon Emission Target: The Case of Turkey
Mehmet Kayakuş, Mustafa Terzioğlu, Dilşad Erdoğan, et al.
Sustainability (2023) Vol. 15, Iss. 17, pp. 13025-13025
Open Access | Times Cited: 13
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: 5
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
Wavelets in Combination with Stochastic and Machine Learning Models to Predict Agricultural Prices
Sandip Garai, Ranjit Kumar Paul, Debopam Rakshit, et al.
Mathematics (2023) Vol. 11, Iss. 13, pp. 2896-2896
Open Access | Times Cited: 12
A hybrid model for point and interval forecasting of agricultural price based on the decomposition-ensemble and KDE
Dabin Zhang, Xuejing Zhang, Huanling Hu, et al.
Soft Computing (2024) Vol. 28, Iss. 17-18, pp. 10153-10176
Open Access | Times Cited: 3
Wavelets Based Artificial Neural Network Technique for Forecasting Agricultural Prices
Ranjit Kumar Paul, Sandip Garai
Journal of the Indian Society for Probability and Statistics (2022) Vol. 23, Iss. 1, pp. 47-61
Open Access | Times Cited: 15
Novel wavelet-LSTM approach for time series prediction
C. Tamilselvi, Ranjit Kumar Paul, Md Yeasin, et al.
Neural Computing and Applications (2024)
Closed Access | Times Cited: 2
The soft computing FFNN method for adjusting heteroscedasticity on the time series model of currency exchange rate
Dodi Devianto, Mutia Yollanda, Maiyastri Maiyastri, et al.
Frontiers in Applied Mathematics and Statistics (2023) Vol. 9
Open Access | Times Cited: 4
CEEMDAN-Based Hybrid Machine Learning Models for Time Series Forecasting Using MARS Algorithm and PSO-Optimization
Sandip Garai, Ranjit Kumar Paul, Md Yeasin, et al.
Neural Processing Letters (2024) Vol. 56, Iss. 2
Open Access | Times Cited: 1
Wavelet Decomposition and Machine Learning Technique for Predicting Occurrence of Spiders in Pigeon Pea
Ranjit Kumar Paul, S. Vennila, Md Yeasin, et al.
Agronomy (2022) Vol. 12, Iss. 6, pp. 1429-1429
Open Access | Times Cited: 7
Forecasting commodity prices in Brazil through hybrid SSA-complex seasonality models
Rafael Baptista Palazzi, Paula Maçaira, Erick Meira, et al.
Production (2023) Vol. 33
Open Access | Times Cited: 3
Time series to imaging-based deep learning model for detecting abnormal fluctuation in agriculture product price
Wentao Jiang, Dabin Zhang, Liwen Ling, et al.
Soft Computing (2023) Vol. 27, Iss. 20, pp. 14673-14688
Closed Access | Times Cited: 3
Development of out-of-sample forecast formulae for the FIGARCH model
Debopam Rakshit, Ranjit Kumar Paul
Model Assisted Statistics and Applications (2024) Vol. 19, Iss. 2, pp. 133-143
Closed Access
Explainable Soybean Futures Price Forecasting Based on Multi‐Source Feature Fusion
Binrong Wu, Sihao Yu, Sheng‐Xiang Lv
Journal of Forecasting (2024)
Closed Access
Agricultural Warehousing
Priyanka Panday, Satish Chandra Pant, Parminder Singh, et al.
Advances in logistics, operations, and management science book series (2024), pp. 217-238
Closed Access
Robustness and spurious long memory: evidence from the generalized autoregressive score models
Guangyuan Gao, Yanlin Shi
Annals of Operations Research (2023)
Closed Access | Times Cited: 1
Application of Artificial Bee Colony Algorithm in Intelligent Price Supervision System of Digital Economy
Weijun Li
(2023), pp. 435-441
Closed Access | Times Cited: 1
The Microcosmic Mechanism and Empirical Test of Uncertainty on the Non-Linear Fluctuation of Chinese Grain Prices-Based on the Perspective of Global Economic Policy Uncertainty
Hua Jun-guo, Hui Li, Zejun He, et al.
Agriculture (2022) Vol. 12, Iss. 10, pp. 1526-1526
Open Access | Times Cited: 2
TSLSTM: Long Short Term Memory (LSTM) Model for Time Series Forecasting
Ranjit Kumar Paul, Dr. Md Yeasin
(2022)
Closed Access | Times Cited: 2
A hybrid model for point and interval forecasting of agricultural price based on decomposition-ensemble and KDE
Dabin Zhang, Xuejing Zhang, Huanling Hu, et al.
Research Square (Research Square) (2023)
Open Access
WaveletLSTM: Wavelet Based LSTM Model
Ranjit Kumar Paul, Dr. Md Yeasin
(2023)
Closed Access
WaveletML: Wavelet Decomposition Based Hybrid Machine Learning Models
Mr. Sandip Garai, Ranjit Kumar Paul, Dr. Md Yeasin
(2023)
Closed Access
TSLSTMplus: Long-Short Term Memory for Time-Series Forecasting, Enhanced
Jaime Pizarroso Gonzalo, Antonio Muñoz San Roque
(2023)
Closed Access
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