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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:

Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning
Luwei Feng, Zhou Zhang, Yuchi Ma, et al.
Remote Sensing (2020) Vol. 12, Iss. 12, pp. 2028-2028
Open Access | Times Cited: 201

Showing 1-25 of 201 citing articles:

Machine Learning in Agriculture: A Comprehensive Updated Review
Lefteris Benos, Aristotelis C. Tagarakis, Georgios Dolias, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3758-3758
Open Access | Times Cited: 526
Smart farming using artificial intelligence: A review
Yaganteeswarudu Akkem, Saroj Kr. Biswas, Aruna Varanasi
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105899-105899
Closed Access | Times Cited: 218
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: 195
A Review of Ensemble Learning Algorithms Used in Remote Sensing Applications
Yuzhen Zhang, Jingjing Liu, Wenjuan Shen
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8654-8654
Open Access | Times Cited: 190
Application of Machine Learning Algorithms in Plant Breeding: Predicting Yield From Hyperspectral Reflectance in Soybean
Mohsen Yoosefzadeh-Najafabadi, Hugh J. Earl, Dan Tulpan, et al.
Frontiers in Plant Science (2021) Vol. 11
Open Access | Times Cited: 178
UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat
Shuaipeng Fei, Muhammad Adeel Hassan, Yonggui Xiao, et al.
Precision Agriculture (2022) Vol. 24, Iss. 1, pp. 187-212
Open Access | Times Cited: 170
Automatic Diagnosis of Rice Diseases Using Deep Learning
Ruoling Deng, Ming Tao, Hang Xing, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 122
Predicting Canopy Chlorophyll Content in Sugarcane Crops Using Machine Learning Algorithms and Spectral Vegetation Indices Derived from UAV Multispectral Imagery
A. Narmilan, Felipe González, Arachchige Surantha Ashan Salgadoe, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1140-1140
Open Access | Times Cited: 83
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: 72
Comparison of different machine learning algorithms for predicting maize grain yield using UAV-based hyperspectral images
Yahui Guo, Yi Xiao, Fanghua Hao, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 124, pp. 103528-103528
Open Access | Times Cited: 68
Crop monitoring by multimodal remote sensing: A review
Priyabrata Karmakar, Shyh Wei Teng, Manzur Murshed, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 33, pp. 101093-101093
Open Access | Times Cited: 52
Precision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoption
Marcelo Rodrigues Barbosa Júnior, Bruno Rafael de Almeida Moreira, Vinicius dos Santos Carreira, et al.
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 108993-108993
Closed Access | Times Cited: 32
A Novel Machine Learning Approach to Estimate Grapevine Leaf Nitrogen Concentration Using Aerial Multispectral Imagery
Ali Moghimi, Alireza Pourreza, German Zuniga-Ramirez, et al.
Remote Sensing (2020) Vol. 12, Iss. 21, pp. 3515-3515
Open Access | Times Cited: 89
Selection of Independent Variables for Crop Yield Prediction Using Artificial Neural Network Models with Remote Sensing Data
Patryk Hara, Magdalena Piekutowska, Gniewko Niedbała
Land (2021) Vol. 10, Iss. 6, pp. 609-609
Open Access | Times Cited: 86
UAV-Based Hyperspectral and Ensemble Machine Learning for Predicting Yield in Winter Wheat
Zongpeng Li, Zhen Chen, Qian Cheng, et al.
Agronomy (2022) Vol. 12, Iss. 1, pp. 202-202
Open Access | Times Cited: 67
Estimation of plant height and yield based on UAV imagery in faba bean (Vicia faba L.)
Yishan Ji, Zhen Chen, Qian Cheng, et al.
Plant Methods (2022) Vol. 18, Iss. 1
Open Access | Times Cited: 67
Assessment of Ensemble Learning to Predict Wheat Grain Yield Based on UAV-Multispectral Reflectance
Shuaipeng Fei, Muhammad Adeel Hassan, Zhonghu He, et al.
Remote Sensing (2021) Vol. 13, Iss. 12, pp. 2338-2338
Open Access | Times Cited: 64
Using Hybrid Artificial Intelligence and Evolutionary Optimization Algorithms for Estimating Soybean Yield and Fresh Biomass Using Hyperspectral Vegetation Indices
Mohsen Yoosefzadeh-Najafabadi, Dan Tulpan, Milad Eskandari
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2555-2555
Open Access | Times Cited: 63
Detection of White Leaf Disease in Sugarcane Using Machine Learning Techniques over UAV Multispectral Images
A. Narmilan, Felipe González, Arachchige Surantha Ashan Salgadoe, et al.
Drones (2022) Vol. 6, Iss. 9, pp. 230-230
Open Access | Times Cited: 58
Application of UAV Multisensor Data and Ensemble Approach for High-Throughput Estimation of Maize Phenotyping Traits
Meiyan Shu, Shuaipeng Fei, Bingyu Zhang, et al.
Plant Phenomics (2022) Vol. 2022
Open Access | Times Cited: 57
Predicting individual apple tree yield using UAV multi-source remote sensing data and ensemble learning
Riqiang Chen, Chengjian Zhang, Bo Xu, et al.
Computers and Electronics in Agriculture (2022) Vol. 201, pp. 107275-107275
Closed Access | Times Cited: 56
Ensemble Averaging of Transfer Learning Models for Identification of Nutritional Deficiency in Rice Plant
Mayuri Sharma, Keshab Nath, Rupam Sharma, et al.
Electronics (2022) Vol. 11, Iss. 1, pp. 148-148
Open Access | Times Cited: 55
Advances in the estimations and applications of critical nitrogen dilution curve and nitrogen nutrition index of major cereal crops. A review
Xinyu Li, Syed Tahir Ata-Ul-Karim, Yue Li, et al.
Computers and Electronics in Agriculture (2022) Vol. 197, pp. 106998-106998
Open Access | Times Cited: 50
Application of Drone Surveillance for Advance Agriculture Monitoring by Android Application Using Convolution Neural Network
Sabab Ali Shah, Ghulam Mustafa, Hareef Ahmed Keerio, et al.
Agronomy (2023) Vol. 13, Iss. 7, pp. 1764-1764
Open Access | Times Cited: 37
Faba bean above-ground biomass and bean yield estimation based on consumer-grade unmanned aerial vehicle RGB images and ensemble learning
Yishan Ji, Rong Liu, Yonggui Xiao, et al.
Precision Agriculture (2023) Vol. 24, Iss. 4, pp. 1439-1460
Closed Access | Times Cited: 34
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