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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:

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

Showing 26-50 of 60 citing articles:

Reflectance Spectroscopy for the Classification and Prediction of Pigments in Agronomic Crops
Renan Falcioni, Werner Camargos Antunes, José Alexandre Melo Demattê, et al.
Plants (2023) Vol. 12, Iss. 12, pp. 2347-2347
Open Access | Times Cited: 12
Prediction and optimization of indirect shoot regeneration of Passiflora caerulea using machine learning and optimization algorithms
Marziyeh Jafari, Mohammad Hosein Daneshvar
BMC Biotechnology (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 11
Enhancing petunia tissue culture efficiency with machine learning: A pathway to improved callogenesis
Hamed Rezaei, Asghar Mirzaie-Asl, Mohammad Reza Abdollahi, et al.
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0293754-e0293754
Open Access | Times Cited: 10
A precise model for accurate rice disease diagnosis: a transfer learning approach
Debaniranjan Mohapatra, Niva Das
DELETED (2023) Vol. 89, Iss. 1, pp. 162-171
Closed Access | Times Cited: 10
Non−Invasive Assessment, Classification, and Prediction of Biophysical Parameters Using Reflectance Hyperspectroscopy
Renan Falcioni, Gláucio Leboso Alemparte Abrantes dos Santos, Luís Guilherme Teixeira Crusiol, et al.
Plants (2023) Vol. 12, Iss. 13, pp. 2526-2526
Open Access | Times Cited: 9
Selective transplantation method of leafy vegetable seedlings based on ResNet 18 network
Xin Jin, Lumei Tang, Ruoshi Li, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 15
Deep Learning for Soybean Monitoring and Management
Jayme Garcia Arnal Barbedo
Seeds (2023) Vol. 2, Iss. 3, pp. 340-356
Open Access | Times Cited: 7
Plant production yield optimization and cost-effectiveness using an innovative artificial multiple intelligence system
Keartisak Sriprateep, Sarinya Sala-ngam, Yottha Srithep, et al.
Annals of Operations Research (2024)
Closed Access | Times Cited: 2
High-Throughput Phenotyping of Soybean Biomass: Conventional Trait Estimation and Novel Latent Feature Extraction Using UAV Remote Sensing and Deep Learning Models
Mashiro Okada, C. Barras, Yusuke Toda, et al.
Plant Phenomics (2024) Vol. 6
Open Access | Times Cited: 2
Omics-Driven Strategies for Developing Saline-Smart Lentils: A Comprehensive Review
Fawad Ali, Yiren Zhao, Arif Ali, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 21, pp. 11360-11360
Open Access | Times Cited: 2
Remote and proximal sensing: How far has it come to help plant breeders?
Mohsen Yoosefzadeh-Najafabadi, Keshav D. Singh, Alireza Pourreza, et al.
Advances in agronomy (2023), pp. 279-315
Closed Access | Times Cited: 6
Application of SVR-Mediated GWAS for Identification of Durable Genetic Regions Associated with Soybean Seed Quality Traits
Mohsen Yoosefzadeh-Najafabadi, Sepideh Torabi, Dan Tulpan, et al.
Plants (2023) Vol. 12, Iss. 14, pp. 2659-2659
Open Access | Times Cited: 6
Assessment of Combined Reflectance, Transmittance, and Absorbance Hyperspectral Sensors for Prediction of Chlorophyll a Fluorescence Parameters
Renan Falcioni, Werner Camargos Antunes, Roney Berti de Oliveira, et al.
Remote Sensing (2023) Vol. 15, Iss. 20, pp. 5067-5067
Open Access | Times Cited: 6
Remotely Sensed Phenotypic Traits for Heritability Estimates and Grain Yield Prediction of Barley Using Multispectral Imaging from UAVs
Dessislava Ganeva, Eugenia Roumenina, Petar Dimitrov, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5008-5008
Open Access | Times Cited: 5
Research Progress on the Application of Crop Yield Calculation based on Image Analysis Technology
Feng Yu, Ming Wang, Jun Xiao, et al.
(2024)
Open Access | Times Cited: 1
Prediction accuracy and repeatability of UAV based biomass estimation in wheat variety trials as affected by variable type, modelling strategy and sampling location
Daniel Smith, Qiaomin Chen, Sean Reynolds Massey-Reed, et al.
Plant Methods (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 1
Six decades of soybean breeding in Ontario, Canada: a tradition of innovation
Mohsen Yoosefzadeh-Najafabadi, Istvan Rajcan
Canadian Journal of Plant Science (2022) Vol. 103, Iss. 4, pp. 333-352
Open Access | Times Cited: 7
Background-Aware Domain Adaptation for Plant Counting
Min Shi, Xing-Yi Li, Hao Lü, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 3
Temporal Variation and Component Allocation Characteristics of Geometric and Physical Parameters of Maize Canopy for the Entire Growing Season
Bingze Li, Ming Ma, Shengbo Chen, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3017-3017
Open Access | Times Cited: 3
Yield predict and physiological state evaluation of irrigated common bean cultivars with contrasting growth habits by learning algorithms using spectral indices
Anderson Prates Coelho, Rogério Teixeira de Faria, Leandro Borges Lemos, et al.
Geocarto International (2022) Vol. 37, Iss. 27, pp. 15212-15234
Closed Access | Times Cited: 3
Prediction accuracy and heritability of UAV based biomass estimation in wheat variety trials as affected by variable type, modelling strategy and sampling location
Daniel Smith, Qiaomin Chen, Andries Potgieter, et al.
Research Square (Research Square) (2024)
Open Access
Machine Learning-Enhanced Utilization of Plant Genetic Resources
Mohsen Yoosefzadeh-Najafabadi, Mohsen Hesami, Milad Eskandari
Sustainable development and biodiversity (2024), pp. 619-639
Closed Access
High-throughput Phenotyping of Soybean Biomass: Conventional Trait Estimation and Novel Latent Feature Extraction Using UAV Remote Sensing and Deep Learning Models
Mashiro Okada, C. Barras, Yusuke Toda, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Impact Assessment of Nematode Infestation on Soybean Crop Production Using Aerial Multispectral Imagery and Machine Learning
Pius Jjagwe, Abhilash K. Chandel, David B. Langston
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5482-5482
Open Access
A Novel Optimized Deep Learning Model for Canola Crop Yield Prediction on Edge Devices
Stephany Valarezo-Plaza, Julio Torres-Tello, Keshav D. Singh, et al.
IEEE Transactions on AgriFood Electronics (2024) Vol. 2, Iss. 2, pp. 436-444
Closed Access

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