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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:

Recurrent neural network architecture for forecasting banana prices in Gujarat, India
Prity Kumari, Viniya Goswami, N. Harshith, et al.
PLoS ONE (2023) Vol. 18, Iss. 6, pp. e0275702-e0275702
Open Access | Times Cited: 13

Showing 13 citing articles:

A Comprehensive Review on Deep Learning Assisted Computer Vision Techniques for Smart Greenhouse Agriculture
Jalal Uddin Md Akbar, Syafiq Fauzi Kamarulzaman, Abu Jafar Md Muzahid, et al.
IEEE Access (2024) Vol. 12, pp. 4485-4522
Open Access | Times Cited: 18
Deep Learning and Computer Vision Techniques for Enhanced Quality Control in Manufacturing Processes
Md Raisul Islam, Md Zakir Hossain Zamil, Md. Eshmam Rayed, et al.
IEEE Access (2024) Vol. 12, pp. 121449-121479
Open Access | Times Cited: 13
Memory based neural network for cumin price forecasting in Gujarat, India
N. Harshith, Prity Kumari
Journal of Agriculture and Food Research (2024) Vol. 15, pp. 101020-101020
Open Access | Times Cited: 7
New deep recurrent hybrid artificial neural network for forecasting seasonal time series
Özlem Karahasan, Eren Baş, Erol Eğrioğlu
Granular Computing (2024) Vol. 9, Iss. 1
Closed Access | Times Cited: 5
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
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
An ingenious method for estimating future crop prices that emphasises machine learning and deep learning models
Saikat Banerjee, Abhoy Chand Mondal
International Journal of Information Technology (2023) Vol. 15, Iss. 8, pp. 4291-4313
Closed Access | Times Cited: 11
Forecasting Potato Prices in Agra: Comparison of Linear Time Series Statistical vs. Neural Network Models
Rohit Kumar, Y A Lad, Prity Kumari
Potato Research (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
First report and molecular characterisation of banana bunchy top virus infecting Musa × Paradisiaca Cv. Chiniya from West Bengal, India
Vikrant, Shakir Chowdhury, S. Majumder
Vegetos (2025)
Closed Access
Fındık Fiyatlarının Yapay Sinir Ağları ile Tahminlenmesi: Türkiye Örneği
Mehmet Akif KARA
Batman Üniversitesi Yaşam Bilimleri Dergisi (2024) Vol. 14, Iss. 1, pp. 31-42
Open Access
Dynamic perspectives into tropical fruit production: a review of modeling techniques
Daniel Mancero-Castillo, Yoansy García Ortega, Maritza Aguirre-Munizaga, et al.
Frontiers in Agronomy (2024) Vol. 6
Open Access
Forecasting the Future of Papaya in India: Predicting Area and Production Through Autoregressive Integrated Moving Average
Shilpa Sharma, Rakesh Kumar Gupta, Vishal Rana, et al.
Deleted Journal (2023) Vol. 66, Iss. 1, pp. 183-191
Closed Access | Times Cited: 1
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