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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:

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

Showing 15 citing articles:

Correlation Filters in Machine Learning Algorithms to Select Demographic and Individual Features for Autism Spectrum Disorder Diagnosis
Raquel Dornelas, Danielli Araújo Lima
Journal of Data Science and Intelligent Systems (2023) Vol. 1, Iss. 2, pp. 105-127
Open Access | Times Cited: 27
Intra-annual National Statistical Accounts Based on Machine Learning Algorithm
Sandip Garai, Ranjit Kumar Paul, Mohit Kumar, et al.
Journal of Data Science and Intelligent Systems (2023) Vol. 2, Iss. 3, pp. 153-160
Open Access | Times Cited: 19
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
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
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
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
Profit Suggestion Technique in Agronomics Using a New Heuristic-Based Barnacle Mating Honey Badger Algorithm I-BMHBA
S. Visnu Dharsini, S. Babu
Cybernetics & Systems (2022) Vol. 55, Iss. 8, pp. 1940-1976
Closed Access | Times Cited: 4
Multi-objective optimization of particle gluing operating parameters in particleboard production based on improved machine learning algorithms
Beilong Zhang, Jun Hua, Liping Cai, et al.
Journal of Wood Science (2022) Vol. 68, Iss. 1
Open Access | Times Cited: 3
Ensemble machine learning models for forecasting tropical cyclones in North Indian region
Md Yeasin, Ranjit Kumar Paul, S. Vishnu Shankar
Earth Science Informatics (2024) Vol. 17, Iss. 4, pp. 3705-3714
Closed Access
A Novel Bézier LSTM Model: A Case Study in Corn Analysis
Qingliang Zhao, Junji Chen, Xiaobin Feng, et al.
Mathematics (2024) Vol. 12, Iss. 15, pp. 2308-2308
Open Access
Prediction of Vegetation Change by Discrete Wavelet Decomposition Based on Remote Sensing Time Series Images
Yuehong Long, Jianxin Qin, Ke Wang, et al.
Traitement du signal (2023) Vol. 40, Iss. 1, pp. 123-132
Open Access | Times Cited: 1
AriGaMyANNSVR: Hybrid ARIMA-GARCH and Two Specially Designed ML-Based Models
Mr. Sandip Garai
(2023)
Closed Access
WHEAT MARKET PRICE DYNAMICS IN UKRAINE: QUANTITATIVE EXPLORATION AND FORECASTING
Larysa Zomchak, Tetiana Kukhotska
European Journal of Economics and Management (2023) Vol. 9, Iss. 4, pp. 14-22
Open Access
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