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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:

Data Mining and Machine Learning Algorithms for Optimizing Maize Yield Forecasting in Central Europe
Endre Harsányi, Bashar Bashir, Sana Arshad, et al.
Agronomy (2023) Vol. 13, Iss. 5, pp. 1297-1297
Open Access | Times Cited: 15

Showing 15 citing articles:

Machine learning driven forecasts of agricultural water quality from rainfall ionic characteristics in Central Europe
Safwan Mohammed, Sana Arshad, Bashar Bashir, et al.
Agricultural Water Management (2024) Vol. 293, pp. 108690-108690
Open Access | Times Cited: 7
Precision agricultural technology for advanced monitoring of maize yield under different fertilization and irrigation regimes: A case study in Eastern Hungary (Debrecen)
Adrienn Széles, László Huzsvai, Safwan Mohammed, et al.
Journal of Agriculture and Food Research (2024) Vol. 15, pp. 100967-100967
Open Access | Times Cited: 6
Research on Mass Prediction of Maize Kernel Based on Machine Vision and Machine Learning Algorithm
Yu Yang, Chenlong Fan, Qibin Li, et al.
Processes (2025) Vol. 13, Iss. 2, pp. 346-346
Open Access
Impact of morphological traits and irrigation levels on fresh herbage yield of sorghum x sudangrass hybrid: Modelling data mining techniques
Halit Tutar, Şenol Çelik, Hasan Er, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0318230-e0318230
Open Access
Predicting Agricultural Drought in Central Europe by Using Machine Learning Algorithms
Endre Harsányi
Journal of Agriculture and Food Research (2025), pp. 101783-101783
Open Access
Integration of Unmanned Aerial Vehicle Spectral and Textural Features for Accurate Above-Ground Biomass Estimation in Cotton
M Ingjun Chen, Caixia Yin, Tao Lin, et al.
Agronomy (2024) Vol. 14, Iss. 6, pp. 1313-1313
Open Access | Times Cited: 3
Performance of Machine Learning Models in Predicting Common Bean (Phaseolus vulgaris L.) Crop Nitrogen Using NIR Spectroscopy
Marcos Silva Tavares, Carlos Augusto Alves Cardoso Silva, Jamile Raquel Regazzo, et al.
(2024)
Open Access | Times Cited: 2
Development and Evaluation of a New Spectral Index to Detect Peanut Southern Blight Disease Using Canopy Hyperspectral Reflectance
Tiantian Wen, Juan Liu, Yuanyuan Fu, et al.
Horticulturae (2024) Vol. 10, Iss. 2, pp. 128-128
Open Access | Times Cited: 1
Knowledge Graph Generation and Enabling Multidimensional Analytics on Bangladesh Agricultural Data
Rudra Pratap Deb Nath, Tithi Rani Das, Tonmoy Chandro Das, et al.
IEEE Access (2024) Vol. 12, pp. 87512-87531
Open Access | Times Cited: 1
Genomics‐based plant disease resistance prediction using machine learning
Shriprabha R. Upadhyaya, Monica F. Danilevicz, Aria Dolatabadian, et al.
Plant Pathology (2024) Vol. 73, Iss. 9, pp. 2298-2309
Open Access | Times Cited: 1
Assessment of Climate-Induced Rice Yield Using Ordinary Least Squares (OLS) Regression Analysis: A Case Study from Coastal Context
Imran Hossain Newton, Md. Hasibul Hasan, Sadmina Razzaque, et al.
Earth Systems and Environment (2024) Vol. 8, Iss. 4, pp. 1437-1451
Closed Access | Times Cited: 1
The Detection of Kiwifruit Sunscald Using Spectral Reflectance Data Combined with Machine Learning and CNNs
Ke Wu, Zhicheng Jia, Qifeng Duan
Agronomy (2023) Vol. 13, Iss. 8, pp. 2137-2137
Open Access | Times Cited: 4
Performance of Machine Learning Models in Predicting Common Bean (Phaseolus vulgaris L.) Crop Nitrogen Using NIR Spectroscopy
Marcos Silva Tavares, Carlos Augusto Alves Cardoso Silva, Jamile Raquel Regazzo, et al.
Agronomy (2024) Vol. 14, Iss. 8, pp. 1634-1634
Open Access
Impact of Cloud Computing on Agricultural Advancement using Data Mining Algorithms
S. K. Saravanan, F. Nisha, R. Vincent, et al.
(2023) Vol. 6, pp. 1570-1575
Closed Access | Times Cited: 1
Modelling of Ladyfinger Plantations Using Open Data Malaysia: A Comparative Study of Machine Learning Techniques
Mohamad Farhan Mohamad Mohsin, Mohamad Ghozali Hassan, Kamal Imran Mohd Sharif, et al.
Emerging Advances in Integrated Technology (2023) Vol. 4, Iss. 2
Open Access
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