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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:

Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest
Yanghui Kang, Mutlu Özdoğan, Xiaojin Zhu, et al.
Environmental Research Letters (2020) Vol. 15, Iss. 6, pp. 064005-064005
Open Access | Times Cited: 178

Showing 1-25 of 178 citing articles:

Crop yield prediction using machine learning: A systematic literature review
Thomas van Klompenburg, Ayalew Kassahun, Cagatay Catal
Computers and Electronics in Agriculture (2020) Vol. 177, pp. 105709-105709
Open Access | Times Cited: 1108
Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming
Tawseef Ayoub Shaikh, Tabasum Rasool, Faisal Rasheed Lone
Computers and Electronics in Agriculture (2022) Vol. 198, pp. 107119-107119
Closed Access | Times Cited: 415
Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt
Mohsen Shahhosseini, Guiping Hu, Isaiah Huber, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 298
Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach
Yuchi Ma, Zhou Zhang, Yanghui Kang, et al.
Remote Sensing of Environment (2021) Vol. 259, pp. 112408-112408
Open Access | Times Cited: 183
Transfer learning in environmental remote sensing
Yuchi Ma, Shuo Chen, Stefano Ermon, et al.
Remote Sensing of Environment (2023) Vol. 301, pp. 113924-113924
Closed Access | Times Cited: 104
Winter wheat yield prediction using convolutional neural networks from environmental and phenological data
Amit Kumar Srivastava, Nima Safaei, Saeed Khaki, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 98
Crop Yield Prediction Using Machine Learning Models: Case of Irish Potato and Maize
Martin Kuradusenge, Eric Hitimana, Damien Hanyurwimfura, et al.
Agriculture (2023) Vol. 13, Iss. 1, pp. 225-225
Open Access | Times Cited: 96
Hybrid Deep Learning-based Models for Crop Yield Prediction
Alexandros Oikonomidis, Cagatay Catal, Ayalew Kassahun
Applied Artificial Intelligence (2022) Vol. 36, Iss. 1
Open Access | Times Cited: 89
Machine Learning for Smart Agriculture and Precision Farming: Towards Making the Fields Talk
Tawseef Ayoub Shaikh, Waseem Ahmad Mir, Tabasum Rasool, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 7, pp. 4557-4597
Closed Access | Times Cited: 71
A county-level soybean yield prediction framework coupled with XGBoost and multidimensional feature engineering
Yuanchao Li, Hongwei Zeng, Miao Zhang, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 118, pp. 103269-103269
Open Access | Times Cited: 61
A deep learning framework combining CNN and GRU for improving wheat yield estimates using time series remotely sensed multi-variables
Jie Wang, Pengxin Wang, Huiren Tian, et al.
Computers and Electronics in Agriculture (2023) Vol. 206, pp. 107705-107705
Open Access | Times Cited: 50
Prediction of winter wheat yield and dry matter in North China Plain using machine learning algorithms for optimal water and nitrogen application
Ying Wang, Wen‐Juan Shi, Tianyang Wen
Agricultural Water Management (2023) Vol. 277, pp. 108140-108140
Open Access | Times Cited: 39
A Review of CNN Applications in Smart Agriculture Using Multimodal Data
Mohammad El Sakka, Mihai Ivanovici, Lotfi Chaâri, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 472-472
Open Access | Times Cited: 2
Geographically and temporally weighted neural network for winter wheat yield prediction
Luwei Feng, Yumiao Wang, Zhou Zhang, et al.
Remote Sensing of Environment (2021) Vol. 262, pp. 112514-112514
Open Access | Times Cited: 84
Machine learning in crop yield modelling: A powerful tool, but no surrogate for science
Gunnar Lischeid, Heidi Webber, Michael Sommer, et al.
Agricultural and Forest Meteorology (2021) Vol. 312, pp. 108698-108698
Open Access | Times Cited: 69
Improving wheat yield prediction integrating proximal sensing and weather data with machine learning
Guojie Ruan, Xinyu Li, Fei Yuan, et al.
Computers and Electronics in Agriculture (2022) Vol. 195, pp. 106852-106852
Closed Access | Times Cited: 65
Cereal Yield Forecasting with Satellite Drought-Based Indices, Weather Data and Regional Climate Indices Using Machine Learning in Morocco
El Houssaine Bouras, Lionel Jarlan, Salah Er‐Raki, et al.
Remote Sensing (2021) Vol. 13, Iss. 16, pp. 3101-3101
Open Access | Times Cited: 58
Assimilation of soil moisture and canopy cover data improves maize simulation using an under-calibrated crop model
Yang Lu, Tendai Polite Chibarabada, Matteo G. Ziliani, et al.
Agricultural Water Management (2021) Vol. 252, pp. 106884-106884
Open Access | Times Cited: 55
Maize Yield Prediction at an Early Developmental Stage Using Multispectral Images and Genotype Data for Preliminary Hybrid Selection
Monica F. Danilevicz, Philipp E. Bayer, Farid Boussaïd, et al.
Remote Sensing (2021) Vol. 13, Iss. 19, pp. 3976-3976
Open Access | Times Cited: 55
Optimal county-level crop yield prediction using MODIS-based variables and weather data: A comparative study on machine learning models
Sungha Ju, Hyoungjoon Lim, Jong‐Uk Won, et al.
Agricultural and Forest Meteorology (2021) Vol. 307, pp. 108530-108530
Closed Access | Times Cited: 54
Enhancing Crop Yield Prediction Utilizing Machine Learning on Satellite-Based Vegetation Health Indices
Hoa Thi Pham, Joseph L. Awange, Michael Kühn, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 719-719
Open Access | Times Cited: 43
Rice Yield Prediction and Model Interpretation Based on Satellite and Climatic Indicators Using a Transformer Method
Yuanyuan Liu, Shaoqiang Wang, Jinghua Chen, et al.
Remote Sensing (2022) Vol. 14, Iss. 19, pp. 5045-5045
Open Access | Times Cited: 39
Developing machine learning models for wheat yield prediction using ground-based data, satellite-based actual evapotranspiration and vegetation indices
Mojtaba Naghdyzadegan Jahromi, Shahrokh Zand‐Parsa, Fatemeh Razzaghi, et al.
European Journal of Agronomy (2023) Vol. 146, pp. 126820-126820
Closed Access | Times Cited: 26
Advanced stacked integration method for forecasting long-term drought severity: CNN with machine learning models
Ahmed Elbeltagi, Aman Srivastava, Muhsan Ehsan, et al.
Journal of Hydrology Regional Studies (2024) Vol. 53, pp. 101759-101759
Open Access | Times Cited: 13
Enhancing the Random Forest Model via Synthetic Minority Oversampling Technique for Credit-Card Fraud Detection
Fidelis Obukohwo Aghware, Arnold Adimabua Ojugo, Wilfred Adigwe, et al.
Journal of Computing Theories and Applications (2024) Vol. 1, Iss. 4, pp. 407-420
Open Access | Times Cited: 12
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