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:
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: 174
Mohsen Yoosefzadeh-Najafabadi, Hugh J. Earl, Dan Tulpan, et al.
Frontiers in Plant Science (2021) Vol. 11
Open Access | Times Cited: 174
Showing 1-25 of 174 citing articles:
An advanced deep learning models-based plant disease detection: A review of recent research
Muhammad Shoaib, Babar Shah, Shaker El–Sappagh, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 171
Muhammad Shoaib, Babar Shah, Shaker El–Sappagh, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 171
Forecasting wholesale prices of yellow corn through the Gaussian process regression
Bingzi Jin, Xiaojie Xu
Neural Computing and Applications (2024) Vol. 36, Iss. 15, pp. 8693-8710
Closed Access | Times Cited: 124
Bingzi Jin, Xiaojie Xu
Neural Computing and Applications (2024) Vol. 36, Iss. 15, pp. 8693-8710
Closed Access | Times Cited: 124
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: 120
Ruoling Deng, Ming Tao, Hang Xing, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 120
Predicting Canopy Chlorophyll Content in Sugarcane Crops Using Machine Learning Algorithms and Spectral Vegetation Indices Derived from UAV Multispectral Imagery
A. Narmilan, Felipé Gonzalez, Arachchige Surantha Ashan Salgadoe, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1140-1140
Open Access | Times Cited: 82
A. Narmilan, Felipé Gonzalez, Arachchige Surantha Ashan Salgadoe, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1140-1140
Open Access | Times Cited: 82
Wholesale price forecasts of green grams using the neural network
Bingzi Jin, Xiaojie Xu
Asian Journal of Economics and Banking (2024)
Open Access | Times Cited: 82
Bingzi Jin, Xiaojie Xu
Asian Journal of Economics and Banking (2024)
Open Access | Times Cited: 82
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: 55
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: 55
Machine Learning-Assisted Approaches in Modernized Plant Breeding Programs
Mohsen Yoosefzadeh-Najafabadi, Mohsen Hesami, Milad Eskandari
Genes (2023) Vol. 14, Iss. 4, pp. 777-777
Open Access | Times Cited: 45
Mohsen Yoosefzadeh-Najafabadi, Mohsen Hesami, Milad Eskandari
Genes (2023) Vol. 14, Iss. 4, pp. 777-777
Open Access | Times Cited: 45
Palladium Price Predictions via Machine Learning
Bingzi Jin, Xiaojie Xu
Materials Circular Economy (2024) Vol. 6, Iss. 1
Closed Access | Times Cited: 40
Bingzi Jin, Xiaojie Xu
Materials Circular Economy (2024) Vol. 6, Iss. 1
Closed Access | Times Cited: 40
Price forecasts of ten steel products using Gaussian process regressions
Xiaojie Xu, Yun Zhang
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106870-106870
Closed Access | Times Cited: 39
Xiaojie Xu, Yun Zhang
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106870-106870
Closed Access | Times Cited: 39
Predictions of steel price indices through machine learning for the regional northeast Chinese market
Bingzi Jin, Xiaojie Xu
Neural Computing and Applications (2024) Vol. 36, Iss. 33, pp. 20863-20882
Closed Access | Times Cited: 39
Bingzi Jin, Xiaojie Xu
Neural Computing and Applications (2024) Vol. 36, Iss. 33, pp. 20863-20882
Closed Access | Times Cited: 39
A comparative study of 11 non-linear regression models highlighting autoencoder, DBN, and SVR, enhanced by SHAP importance analysis in soybean branching prediction
Wei Zhou, Zhengxiao Yan, Liting Zhang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 24
Wei Zhou, Zhengxiao Yan, Liting Zhang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 24
Thermal coal futures trading volume predictions through the neural network
Bingzi Jin, Xiaojie Xu, Yun Zhang
Journal of Modelling in Management (2024)
Closed Access | Times Cited: 22
Bingzi Jin, Xiaojie Xu, Yun Zhang
Journal of Modelling in Management (2024)
Closed Access | Times Cited: 22
Platinum and palladium price forecasting through neural networks
Xiaojie Xu, Yun Zhang
Communications in Statistics - Simulation and Computation (2024), pp. 1-15
Closed Access | Times Cited: 18
Xiaojie Xu, Yun Zhang
Communications in Statistics - Simulation and Computation (2024), pp. 1-15
Closed Access | Times Cited: 18
Machine learning price index forecasts of flat steel products
Bingzi Jin, Xiaojie Xu
Mineral Economics (2024)
Closed Access | Times Cited: 15
Bingzi Jin, Xiaojie Xu
Mineral Economics (2024)
Closed Access | Times Cited: 15
Peanut oil price change forecasts through the neural network
Bingzi Jin, Xiaojie Xu, Yun Zhang
foresight (2025)
Closed Access | Times Cited: 5
Bingzi Jin, Xiaojie Xu, Yun Zhang
foresight (2025)
Closed Access | Times Cited: 5
Predicting Scrap Steel Prices Through Machine Learning for South China
Bingzi Jin, Xiaojie Xu
Materials Circular Economy (2025) Vol. 7, Iss. 1
Closed Access | Times Cited: 2
Bingzi Jin, Xiaojie Xu
Materials Circular Economy (2025) Vol. 7, Iss. 1
Closed Access | Times Cited: 2
Crop yield prediction from multi-spectral, multi-temporal remotely sensed imagery using recurrent 3D convolutional neural networks
Mengjia Qiao, Xiaohui He, Xijie Cheng, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 102, pp. 102436-102436
Open Access | Times Cited: 92
Mengjia Qiao, Xiaohui He, Xijie Cheng, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 102, pp. 102436-102436
Open Access | Times Cited: 92
Multi-Target Recognition of Bananas and Automatic Positioning for the Inflorescence Axis Cutting Point
Fengyun Wu, Jieli Duan, Siyu Chen, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 80
Fengyun Wu, Jieli Duan, Siyu Chen, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 80
A hybrid model based on general regression neural network and fruit fly optimization algorithm for forecasting and optimizing paclitaxel biosynthesis in Corylus avellana cell culture
Mina Salehi, Siamak Farhadi, Ahmad Moieni, et al.
Plant Methods (2021) Vol. 17, Iss. 1
Open Access | Times Cited: 71
Mina Salehi, Siamak Farhadi, Ahmad Moieni, et al.
Plant Methods (2021) Vol. 17, Iss. 1
Open Access | Times Cited: 71
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: 62
Shuaipeng Fei, Muhammad Adeel Hassan, Zhonghu He, et al.
Remote Sensing (2021) Vol. 13, Iss. 12, pp. 2338-2338
Open Access | Times Cited: 62
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: 60
Mohsen Yoosefzadeh-Najafabadi, Dan Tulpan, Milad Eskandari
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2555-2555
Open Access | Times Cited: 60
Machine learning (ML) algorithms and artificial neural network for optimizing in vitro germination and growth indices of industrial hemp (Cannabis sativa L.)
Muhammad Aasım, Ramazan Katırcı, Ozlem Akgur, et al.
Industrial Crops and Products (2022) Vol. 181, pp. 114801-114801
Closed Access | Times Cited: 58
Muhammad Aasım, Ramazan Katırcı, Ozlem Akgur, et al.
Industrial Crops and Products (2022) Vol. 181, pp. 114801-114801
Closed Access | Times Cited: 58
Modeling and optimizing in vitro seed germination of industrial hemp (Cannabis sativa L.)
Mohsen Hesami, Marco Pepe, Adrian S. Monthony, et al.
Industrial Crops and Products (2021) Vol. 170, pp. 113753-113753
Closed Access | Times Cited: 55
Mohsen Hesami, Marco Pepe, Adrian S. Monthony, et al.
Industrial Crops and Products (2021) Vol. 170, pp. 113753-113753
Closed Access | Times Cited: 55
Soybean and Soybean Oil Price Forecasting through the Nonlinear Autoregressive Neural Network (NARNN) and NARNN with Exogenous Inputs (NARNN–X)
Xiaojie Xu, Yun Zhang
Intelligent Systems with Applications (2022) Vol. 13, pp. 200061-200061
Open Access | Times Cited: 55
Xiaojie Xu, Yun Zhang
Intelligent Systems with Applications (2022) Vol. 13, pp. 200061-200061
Open Access | Times Cited: 55
Machine learning: its challenges and opportunities in plant system biology
Mohsen Hesami, Milad Alizadeh, Andrew Maxwell Phineas Jones, et al.
Applied Microbiology and Biotechnology (2022) Vol. 106, Iss. 9-10, pp. 3507-3530
Closed Access | Times Cited: 48
Mohsen Hesami, Milad Alizadeh, Andrew Maxwell Phineas Jones, et al.
Applied Microbiology and Biotechnology (2022) Vol. 106, Iss. 9-10, pp. 3507-3530
Closed Access | Times Cited: 48
