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:

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

Showing 14 citing articles:

Exogenous variable driven deep learning models for improved price forecasting of TOP crops in India
G. H. Harish Nayak, Md Wasi Alam, K. N. Singh, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5

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

Auction-based deep learning-driven smart agricultural supply chain mechanism
Yu Feng, Dong Mei, Hua Zhao
Applied Soft Computing (2023) Vol. 149, pp. 111009-111009
Closed Access | Times Cited: 8

A Study on Agricultural Commodity Price Prediction Model Based on Secondary Decomposition and Long Short-Term Memory Network
Changxia Sun, Menghao Pei, Bo Cao, et al.
Agriculture (2023) Vol. 14, Iss. 1, pp. 60-60
Open Access | Times Cited: 8

Volatility forecasting incorporating intraday positive and negative jumps based on deep learning model
Yilun Zhang, Yuping Song, Ying Peng, et al.
Journal of Forecasting (2024) Vol. 43, Iss. 7, pp. 2749-2765
Closed Access | Times Cited: 1

Shallot Price Forecasting Models: Comparison among Various Techniques
Chompoonoot Kasemset, Kanokrot Phuruan, Takron Opassuwan
Production Engineering Archives (2023) Vol. 29, Iss. 4, pp. 348-355
Open Access | Times Cited: 3

Kisan Dhan - Crop Price Prediction Using Random Forest
Sonali Antad
Deleted Journal (2024) Vol. 31, Iss. 3s, pp. 240-253
Open Access

Machine Learning-Based Sales Prediction Using Bayesian Optimized XGBoost Algorithms
Xue Xia Liang, Ying Lin, Chao Deng, et al.
Frontiers in artificial intelligence and applications (2024)
Open Access

Innovative Approaches to Agricultural Risk with Machine Learning
Marufa Sultana Sumi, S. Manju Priya
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 7
Open Access

A Decision model for merchandise replenishment based on logistic regression and ARIMA time series forecasting
Zenan Huang, Kai Wang
Transactions on Computer Science and Intelligent Systems Research (2024) Vol. 5, pp. 1309-1317
Open Access

A Novel Framework using deep learning techniques for Ragi Price Prediction in Karnataka
K. Meena, B. M. Chaitra
IEEE Access (2024) Vol. 12, pp. 136103-136119
Open Access

The Impact of Exogenous Variables on Soybean Freight: A Machine Learning Analysis
Karina Braga Marsola, Andréa Leda Ramos de Oliveira, Matheus Yasuo Ribeiro Utino, et al.
(2024)
Open Access

Machine Learning Techniques for Forecasting Prices and Agricultural Yields
Anjali Singh, Neha Janu
(2024), pp. 1-5
Closed Access

Building smallholder-adapted climate-resilient systems: Evidence from China's apple farms
Zhiping Duan, Jinghan Li, Fan Li, et al.
Journal of Cleaner Production (2023) Vol. 435, pp. 140303-140303
Closed Access

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