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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:

Crop Yield Prediction using Machine Learning and Deep Learning Techniques
Kavita Jhajharia, Pratistha Mathur, Sanchit Jain, et al.
Procedia Computer Science (2023) Vol. 218, pp. 406-417
Open Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Revolutionizing the circular economy through new technologies: A new era of sustainable progress
Eduardo Sánchez‐García, Javier Martínez‐Falcó, Bartolomé Marco‐Lajara, et al.
Environmental Technology & Innovation (2023) Vol. 33, pp. 103509-103509
Open Access | Times Cited: 63
Modern-age Agriculture with Artificial Intelligence: A review emphasizing Crop Yield Prediction
Priyanka Sharma, Pankaj Dadheech
Evergreen (2023) Vol. 10, Iss. 4, pp. 2570-2582
Open Access | Times Cited: 21
Applied Deep Learning-Based Crop Yield Prediction: A Systematic Analysis of Current Developments and Potential Challenges
Khadija Meghraoui, Imane Sebari, Jürgen Pilz, et al.
Technologies (2024) Vol. 12, Iss. 4, pp. 43-43
Open Access | Times Cited: 11
Accurate Wheat Yield Prediction Using Machine Learning and Climate-NDVI Data Fusion
Muhammad Ashfaq, Imran Khan, Abdulrahman Alzahrani, et al.
IEEE Access (2024) Vol. 12, pp. 40947-40961
Open Access | Times Cited: 9
Predicting spatial and temporal variability in soybean yield using deep learning and open source data
Deborah V. Gaso, Laura Elena Cué La Rosa, Laila A. Puntel, et al.
European Journal of Agronomy (2025) Vol. 164, pp. 127498-127498
Open Access
Deep learning for rapid crop damage assessment after cyclones
Shiv Kumar
Natural Hazards (2025)
Closed Access
Meta-knowledge guided Bayesian optimization framework for robust crop yield estimation
Muhammad Hanif Tunio, Jianping Li, Xiaoyang Zeng, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 1, pp. 101895-101895
Open Access | Times Cited: 5
Incorporating Meteorological Data and Pesticide Information to Forecast Crop Yields Using Machine Learning
Md Jiabul Hoque, Md. Saiful Islam, Jia Uddin, et al.
IEEE Access (2024) Vol. 12, pp. 47768-47786
Open Access | Times Cited: 5
Optimizing Agricultural Data Analysis Techniques through AI-Powered Decision-Making Processes
Ersin Elbaşi, Nour Mostafa, Chamseddine Zaki, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 8018-8018
Open Access | Times Cited: 5
Optimizing ensembles machine learning, genetic algorithms, and multivariate modeling for enhanced prediction of maize yield and stress tolerance index
Muhammad Azrai, Muhammad Aqil, Nining Nurini Andayani, et al.
Frontiers in Sustainable Food Systems (2024) Vol. 8
Open Access | Times Cited: 4
A deep learning framework for prediction of crop yield in Australia under the impact of climate change
Haydar Demirhan
Information Processing in Agriculture (2024)
Open Access | Times Cited: 4
Crop Yield Prediction Through Artificial Neural Networks
Pradeep Kumar Kushwaha, Ajay Rana, Swati Vashisht, et al.
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023), pp. 89-94
Closed Access | Times Cited: 10
Early Detection and Prevention of Mustard Downy Mildew Disease using a Hybrid CNN-LSTM Model
Vinay Kukreja, Rishabh Sharma, Satvik Vats
(2023), pp. 246-251
Closed Access | Times Cited: 9
Challenges in Implementing AI Technology Smart Farming in Agricultural Sector – A Literature Review
Anusha S. Rai A., R. Srinivasa Rao Kunte
International Journal of Management Technology and Social Sciences (2024), pp. 283-301
Open Access | Times Cited: 2
Maize seed appearance quality assessment based on improved Inception-ResNet
Chang Song, Bo Peng, Huanyue Wang, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 5
Integrating genetic algorithm with ARIMA and reinforced random forest models to improve agriculture economy and yield forecasting
Yunli Guo
Soft Computing (2023) Vol. 28, Iss. 2, pp. 1685-1706
Closed Access | Times Cited: 5
Crop Recommendation and Yield prediction Using Machine Learning based Approaches
A Padmavathi, Arnab Gupta, Koppadi Bhanu Sai Prakash
(2024), pp. 302-309
Closed Access | Times Cited: 1
Crop Yield Prediction using Remote Sensing: A Review
Mamta Kumari, Suman Suman, D. Prasad
(2024), pp. 547-552
Closed Access | Times Cited: 1
Statistical and machine learning models for location-specific crop yield prediction using weather indices
S. Ajith, Manoj Kanti Debnath, R Karthik
International Journal of Biometeorology (2024)
Closed Access | Times Cited: 1
Enhancing crop yield prediction in Senegal using advanced machine learning techniques and synthetic data
Mohammad Amin Razavi, A. Pouyan Nejadhashemi, Babak Majidi, et al.
Artificial Intelligence in Agriculture (2024)
Open Access | Times Cited: 1
Machine learning: An effective technical method for future use in assessing the effectiveness of phosphorus-dissolving microbial agroremediation
Juai Wu, Fangzhou Zhao
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 4
Developing a Sustainable Machine Learning Model to Predict Crop Yield in the Gulf Countries
Hamzeh F. Assous, Hazem Al‐Najjar, Nadia Al‐Rousan, et al.
Sustainability (2023) Vol. 15, Iss. 12, pp. 9392-9392
Open Access | Times Cited: 4
Analysis and Prediction of the Impact of Socio-Economic and Meteorological Factors on Rapeseed Yield Based on Machine Learning
Jiaping Liang, Hang Li, Na Li, et al.
Agronomy (2023) Vol. 13, Iss. 7, pp. 1867-1867
Open Access | Times Cited: 4
Mapping crop yield spatial variability using Sentinel-2 vegetation indices in Ethiopia
Gizachew Ayalew Tiruneh, Derege Tsegaye Meshesha, Enyew Adgo, et al.
Arabian Journal of Geosciences (2023) Vol. 16, Iss. 11
Open Access | Times Cited: 4
Crop yield prediction using deep learning algorithm based on CNN-LSTM with Attention Layer and Skip Connection
Nagaraj V. Dharwadkar, Vijay Kalmani, Vijay Thapa
Research Square (Research Square) (2023)
Open Access | Times Cited: 3
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