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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:

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

Showing 1-25 of 43 citing articles:

Integrating omics databases for enhanced crop breeding
Haoyu Chao, Shilong Zhang, Yueming Hu, et al.
Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (2023) Vol. 20, Iss. 4
Open Access | Times Cited: 24
Artificial intelligence framework for modeling and predicting crop yield to enhance food security in Saudi Arabia
Mosleh Hmoud Al-Adhaileh, Theyazn H. H. Aldhyani
PeerJ Computer Science (2022) Vol. 8, pp. e1104-e1104
Open Access | Times Cited: 33
Wheat Yield Estimation Using Machine Learning Method Based on UAV Remote Sensing Data
Shurong Yang, Lei Li, Shuaipeng Fei, et al.
(2024)
Open Access | Times Cited: 5
Wheat Yield Prediction Using Machine Learning Method Based on UAV Remote Sensing Data
Shurong Yang, Lei Li, Shuaipeng Fei, et al.
Drones (2024) Vol. 8, Iss. 7, pp. 284-284
Open Access | Times Cited: 5
Combining AI with Sensor Data to Create Better Rice Harvesting Techniques
Vikrant Sharma, P. Mathiyalagan
SSRN Electronic Journal (2025)
Closed Access
Integration of remote sensing and machine learning algorithm for agricultural drought early warning over Genale Dawa river basin, Ethiopia
Mikhael G. Alemu, Fasikaw A. Zimale
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 3
Closed Access
Improving Wheat Yield Prediction with Multi-Source Remote Sensing Data and Machine Learning in Arid Regions
Aamir Raza, Muhammad Adnan Shahid, Muhammad Zaman, et al.
Remote Sensing (2025) Vol. 17, Iss. 5, pp. 774-774
Open Access
Exploring the use of Sentinel-2 datasets and environmental variables to model wheat crop yield in smallholder arid and semi-arid farming systems
Sarchil Qader, C. Edson Utazi, Rhorom Priyatikanto, et al.
The Science of The Total Environment (2023) Vol. 869, pp. 161716-161716
Open Access | Times Cited: 13
Machine learning system to assess rice crop change detection from satellite-derived RGVI due to tropical cyclones using remote sensing dataset
Md. Shamsuzzoha, Rajib Shaw, Tofael Ahamed
Remote Sensing Applications Society and Environment (2024) Vol. 35, pp. 101201-101201
Closed Access | Times Cited: 4
Wheat Yield Estimation using Machine Learning Method Based on UAV Remote Sensing Data
Shurong Yang, Lei Li, Shuaipeng Fei, et al.
(2024)
Open Access | Times Cited: 4
Evaluation of Three Feature Dimension Reduction Techniques for Machine Learning-Based Crop Yield Prediction Models
Hoa Thi Pham, Joseph L. Awange, Michael Kühn
Sensors (2022) Vol. 22, Iss. 17, pp. 6609-6609
Open Access | Times Cited: 15
Durum wheat yield forecasting using machine learning
Nabila Chergui
Artificial Intelligence in Agriculture (2022) Vol. 6, pp. 156-166
Open Access | Times Cited: 15
Improving Crop Yield Prediction Models with Optimization-Based Feature Selection and Filtering Approaches
Anuj Mehla, Sukhvinder Singh Deora, Sandeep Dalal
Indian Journal of Science and Technology (2024) Vol. 16, Iss. 47, pp. 4512-4524
Open Access | Times Cited: 2
AI-Based Prediction of Carrot Yield and Quality on Tropical Agriculture
Yara Karine de Lima Silva, Carlos Eduardo Angeli Furlani, Tatiana Fernanda Canata
AgriEngineering (2024) Vol. 6, Iss. 1, pp. 361-374
Open Access | Times Cited: 2
An Integrated Analysis of Yield Prediction Models: A Comprehensive Review of Advancements and Challenges
Nidhi Parashar, Prashant Johri, Arfat Ahmad Khan, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 80, Iss. 1, pp. 389-425
Open Access | Times Cited: 2
Machine Learning Methods for Predicting Argania spinosa Crop Yield and Leaf Area Index: A Combined Drought Index Approach from Multisource Remote Sensing Data
Mohamed Mouafik, Fouad Mounir, Ahmed El Aboudi
AgriEngineering (2024) Vol. 6, Iss. 3, pp. 2283-2306
Open Access | Times Cited: 2
Crop Yield Estimation Using Sentinel-3 SLSTR, Soil Data, and Topographic Features Combined with Machine Learning Modeling: A Case Study of Nepal
Ghada Sahbeni, Balázs Székely, Peter K. Musyimi, et al.
AgriEngineering (2023) Vol. 5, Iss. 4, pp. 1766-1788
Open Access | Times Cited: 7
Automated Rice Crop Yield Prediction using Sine Cosine Algorithm with Weighted Regularized Extreme Learning Machine
S. Thirumal, R.S. Latha
2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (2023), pp. 35-40
Closed Access | Times Cited: 6
Evaluation of Remote Sensing and Meteorological parameters for Yield Prediction of Sugarcane (Saccharum officinarum L.) Crop
Preeti Saini, Bharti Nagpal, Puneet Garg, et al.
Brazilian Archives of Biology and Technology (2023) Vol. 66
Open Access | Times Cited: 6
CropCast: Harvesting the future with interfused machine learning and advanced stacking ensemble for precise crop prediction
Chetan Raju, D. V. Ashoka, Ajay Prakash B V
Kuwait Journal of Science (2023) Vol. 51, Iss. 1, pp. 100160-100160
Open Access | Times Cited: 6
Comparison of Methods To Aggregate Climate Data To Predict Crop Yield: An Application to Soybean
Mathilde Chen, Nicolas Guilpart, David Makowski
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Comparison of methods to aggregate climate data to predict crop yield: an application to soybean
Mathilde Chen, Nicolas Guilpart, David Makowski
Environmental Research Letters (2024) Vol. 19, Iss. 5, pp. 054049-054049
Open Access | Times Cited: 1
An Effective Soil Analysis and Crop Yield Prediction Based on Optimised Light GBM in Smart Agriculture
Vivek Parganiha, Monika Verma
Journal of Agronomy and Crop Science (2024) Vol. 210, Iss. 4
Closed Access | Times Cited: 1
Downscaling Administrative-Level Crop Yield Statistics to 1 Km Grids Using Multi-Source Remote Sensing Data and Ensemble Machine Learning
Jie Pei, Yaopeng Zou, Yibo Liu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 14437-14453
Open Access | Times Cited: 1
Augmenting agroecosystem models with remote sensing data and machine learning increases overall estimates of nitrate-nitrogen leaching
Matthew Nowatzke, Luis A. Damiano, Fernando E. Miguez, et al.
Environmental Research Letters (2022) Vol. 17, Iss. 11, pp. 114010-114010
Open Access | Times Cited: 7
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