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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:

Soybean disease identification using original field images and transfer learning with convolutional neural networks
Noah Bevers, Edward J. Sikora, Nate B. Hardy
Computers and Electronics in Agriculture (2022) Vol. 203, pp. 107449-107449
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Systematic study on deep learning-based plant disease detection or classification
C. K. Sunil, C. D. Jaidhar, Nagamma Patil
Artificial Intelligence Review (2023) Vol. 56, Iss. 12, pp. 14955-15052
Closed Access | Times Cited: 48
PPLC-Net:Neural network-based plant disease identification model supported by weather data augmentation and multi-level attention mechanism
Guowei Dai, Jingchao Fan, Zhimin Tian, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 5, pp. 101555-101555
Open Access | Times Cited: 35
Recognition method of soybean leaf diseases using residual neural network based on transfer learning
Miao Yu, Xiaodan Ma, Haiou Guan
Ecological Informatics (2023) Vol. 76, pp. 102096-102096
Closed Access | Times Cited: 26
Recent advancement in synthesis and modification of water-based acrylic emulsion and their application in water-based ink: A comprehensive review
Xiyao Tian, Shirui Lv, Jiajun Li, et al.
Progress in Organic Coatings (2024) Vol. 189, pp. 108320-108320
Closed Access | Times Cited: 12
Plant Disease Segmentation Networks for Fast Automatic Severity Estimation Under Natural Field Scenarios
Chenyi Zhao, Changchun Li, Xin Wang, et al.
Agriculture (2025) Vol. 15, Iss. 6, pp. 583-583
Open Access
An instance-based deep transfer learning method for quality identification of Longjing tea from multiple geographical origins
Cheng Zhang, Jin Wang, Ting Yan, et al.
Complex & Intelligent Systems (2023) Vol. 9, Iss. 3, pp. 3409-3428
Open Access | Times Cited: 12
Fast and Precise Detection of Dense Soybean Seedlings Images Based on Airborne Edge Device
Zishang Yang, Jiawei Liu, Lele Wang, et al.
Agriculture (2024) Vol. 14, Iss. 2, pp. 208-208
Open Access | Times Cited: 4
LWDN: lightweight DenseNet model for plant disease diagnosis
Akshay Dheeraj, Satish Chand
Journal of Plant Diseases and Protection (2024) Vol. 131, Iss. 3, pp. 1043-1059
Closed Access | Times Cited: 4
Transfer learning in agriculture: a review
Md Ismail Hossen, Mohammad Awrangjeb, Shirui Pan, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access
A Diffusion-Based Detection Model for Accurate Soybean Disease Identification in Smart Agricultural Environments
Jia‐Xin Yin, Weixia Li, Jun-Hong Shen, et al.
Plants (2025) Vol. 14, Iss. 5, pp. 675-675
Open Access
A cell P system with membrane division and dissolution rules for soybean leaf disease recognition
Hongping Song, Yourui Huang, Tao Han, et al.
Plant Methods (2025) Vol. 21, Iss. 1
Open Access
Artificial Intelligence for Fostering Sustainable Agriculture
Konathala Kusumavathi, Ramesh Konatala, Priyanka Lal, et al.
Current Plant Biology (2025), pp. 100476-100476
Open Access
A two-stage feature aggregation network for multi-category soybean leaf disease identification
Renyong Pan, Jianwu Lin, Jitong Cai, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 8, pp. 101669-101669
Open Access | Times Cited: 12
Real-time detection of aflatoxin-contaminated dried figs using lights of different wavelengths by feature extraction with deep learning
Cihan Kılıç, Hayrettin Özer, A. Burak İNNER
Food Control (2023) Vol. 156, pp. 110150-110150
Closed Access | Times Cited: 8
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
Deep Learning Model for Classifying and Evaluating Soybean Leaf Disease Damage
Sandeep Goshika, Khalid Meksem, Khaled Ragab, et al.
International Journal of Molecular Sciences (2023) Vol. 25, Iss. 1, pp. 106-106
Open Access | Times Cited: 7
Plant disease recognition datasets in the age of deep learning: challenges and opportunities
Mingle Xu, Ji Eun Park, John J. Lee, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 2
Deep learning based weed classification in corn using improved attention mechanism empowered by Explainable AI techniques
Akshay Dheeraj, Satish Chand
Crop Protection (2024), pp. 107058-107058
Closed Access | Times Cited: 2
Disease Identification in Crop Plants based on Convolutional Neural Networks
Orlando Iparraguirre-Villanueva, Victor Guevara-Ponce, Carmen Torres-Ceclén, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 3
Open Access | Times Cited: 5
Federated Learning CNN for Smart Agriculture: A Modeling for Soybean Disease Detection
Mukesh Kumar, Manisha Aeri, Richa Chandel, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
In-Field Disease Symptom Detection and Localisation Using Explainable Deep Learning: Use Case for Downy Mildew in Grapevine
Inés Hernández, Salvador Gutiérrez, Ignacio Barrio, et al.
(2024)
Closed Access | Times Cited: 1
A Comprehensive Survey on Machine Learning and Deep Learning Techniques for Crop Disease Prediction in Smart Agriculture
C. Subbarayudu, Mohan Kubendiran
Nature Environment and Pollution Technology (2024) Vol. 23, Iss. 2, pp. 619-632
Open Access | Times Cited: 1
In-field disease symptom detection and localisation using explainable deep learning: Use case for downy mildew in grapevine
Inés Hernández, Salvador Gutiérrez, Ignacio Barrio, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109478-109478
Open Access | Times Cited: 1
A multi-source domain feature adaptation network for potato disease recognition in field environment
Xueze Gao, Quan Feng, Shuzhi Wang, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 1
LSANNet: A lightweight convolutional neural network for maize leaf disease identification
Fu Zhang, Ruofei Bao, Baoping Yan, et al.
Biosystems Engineering (2024) Vol. 248, pp. 97-107
Closed Access | Times Cited: 1
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