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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:

Design of an integrated climatic assessment indicator (ICAI) for wheat production: A case study in Jiangsu Province, China
Xiangying Xu, Ping Gao, Xinkai Zhu, et al.
Ecological Indicators (2019) Vol. 101, pp. 943-953
Closed Access | Times Cited: 107

Showing 1-25 of 107 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: 1164
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: 451
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: 106
Crops yield prediction based on machine learning models: Case of West African countries
Lontsi Saadio Cedric, Wilfried Yves Hamilton Adoni, Rubby Aworka, et al.
Smart Agricultural Technology (2022) Vol. 2, pp. 100049-100049
Open Access | Times Cited: 103
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: 98
Deep learning for crop yield prediction: a systematic literature review
Alexandros Oikonomidis, Cagatay Catal, Ayalew Kassahun
New Zealand Journal of Crop and Horticultural Science (2022) Vol. 51, Iss. 1, pp. 1-26
Open Access | Times Cited: 91
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: 79
Multispectral Crop Yield Prediction Using 3D-Convolutional Neural Networks and Attention Convolutional LSTM Approaches
Seyed Mahdi Mirhoseini Nejad, Dariush Abbasi‐Moghadam, Alireza Sharifi, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 16, pp. 254-266
Open Access | Times Cited: 74
Artificial intelligence and digital twins in sustainable agriculture and forestry: a survey
Jing Nie, Yi Wang, Yang Li, et al.
TURKISH JOURNAL OF AGRICULTURE AND FORESTRY (2022) Vol. 46, Iss. 5, pp. 642-661
Open Access | Times Cited: 73
Crop yield prediction algorithm (CYPA) in precision agriculture based on IoT techniques and climate changes
Fatma M. Talaat
Neural Computing and Applications (2023) Vol. 35, Iss. 23, pp. 17281-17292
Open Access | Times Cited: 47
Enhancing crop recommendation systems with explainable artificial intelligence: a study on agricultural decision-making
Mahmoud Y. Shams, Samah A. Gamel, Fatma M. Talaat
Neural Computing and Applications (2024) Vol. 36, Iss. 11, pp. 5695-5714
Open Access | Times Cited: 39
Winter wheat yield prediction using linear and nonlinear machine learning algorithms based on climatological and remote sensing data
Muhammad Tahir Haseeb, Zainab Tahi, Syed Amer Mahmood, et al.
Information Processing in Agriculture (2025)
Open Access | Times Cited: 2
Out-of-year corn yield prediction at field-scale using Sentinel-2 satellite imagery and machine learning methods
Johann Desloires, Dino Ienco, Antoine Botrel
Computers and Electronics in Agriculture (2023) Vol. 209, pp. 107807-107807
Open Access | Times Cited: 38
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: 29
Applicability of machine learning techniques in predicting wheat yield based on remote sensing and climate data in Pakistan, South Asia
Sana Arshad, Syed Jamil Hasan Kazmi, Muhammad Gohar Javed, et al.
European Journal of Agronomy (2023) Vol. 147, pp. 126837-126837
Closed Access | Times Cited: 29
Integrating Data Envelopment Analysis and Machine Learning Approaches for Energy Optimization, Decreased Carbon Footprints, and Wheat Yield Prediction Across North-Western India
Gagandeep Kaur, Rajni Rajni, Jagtar Singh Sivia
Journal of soil science and plant nutrition (2024) Vol. 24, Iss. 1, pp. 1424-1447
Closed Access | Times Cited: 15
Developing automated machine learning approach for fast and robust crop yield prediction using a fusion of remote sensing, soil, and weather dataset
Ahmed M. S. Kheir, Ajit Govind, Vinay Nangia, et al.
Environmental Research Communications (2024) Vol. 6, Iss. 4, pp. 041005-041005
Open Access | Times Cited: 13
From data to harvest: Leveraging ensemble machine learning for enhanced crop yield predictions across Canada amidst climate change
Navid Mahdizadeh Gharakhanlou, Liliana Pérez
The Science of The Total Environment (2024) Vol. 951, pp. 175764-175764
Open Access | Times Cited: 10
Crop Yield Prediction in Agriculture: A Comprehensive Review of Machine Learning and Deep Learning Approaches, with Insights for Future Research and Sustainability
Md Abu Jabed, Masrah Azrifah Azmi Murad
Heliyon (2024) Vol. 10, Iss. 24, pp. e40836-e40836
Open Access | Times Cited: 9
Improving early prediction of crop yield in Spanish olive groves using satellite imagery and machine learning
M. Isabel Ramos, Juan José Cubillas, Ricardo de Córdoba, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0311530-e0311530
Open Access | Times Cited: 1
Predicting and interpreting cotton yield and its determinants under long-term conservation management practices using machine learning
Jashanjeet Kaur Dhaliwal, Dinesh Panday, Debasish Saha, et al.
Computers and Electronics in Agriculture (2022) Vol. 199, pp. 107107-107107
Open Access | Times Cited: 29
Predicting oil palm yield using a comprehensive agronomy dataset and 17 machine learning and deep learning models
Ehsan Jolous Jamshidi, Yusri Yusup, Chee‐Wooi Hooy, et al.
Ecological Informatics (2024) Vol. 81, pp. 102595-102595
Open Access | Times Cited: 8
Feasibility of machine learning-based rice yield prediction in India at the district level using climate reanalysis and remote sensing data
Djavan De Clercq, Adam Mahdi
Agricultural Systems (2024) Vol. 220, pp. 104099-104099
Closed Access | Times Cited: 8
Mutual Information Feature Selection (MIFS) Based Crop Yield Prediction on Corn and Soybean Crops Using Multilayer Stacked Ensemble Regression (MSER)
S. Iniyan, R. Jebakumar
Wireless Personal Communications (2021) Vol. 126, Iss. 3, pp. 1935-1964
Closed Access | Times Cited: 36
Coupling Process-Based Models and Machine Learning Algorithms for Predicting Yield and Evapotranspiration of Maize in Arid Environments
Ahmed Attia, Ajit Govind, Asad Sarwar Qureshi, et al.
Water (2022) Vol. 14, Iss. 22, pp. 3647-3647
Open Access | Times Cited: 25
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