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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:

A lightweight model for efficient identification of plant diseases and pests based on deep learning
Hongliang Guan, Chen Fu, Guangyuan Zhang, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 25

Showing 25 citing articles:

EResNet‐SVM: an overfitting‐relieved deep learning model for recognition of plant diseases and pests
Haitao Xiong, Juan Li, Tiewei Wang, et al.
Journal of the Science of Food and Agriculture (2024) Vol. 104, Iss. 10, pp. 6018-6034
Closed Access | Times Cited: 6
Real-time and lightweight detection of grape diseases based on Fusion Transformer YOLO
Yifan Liu, Qiudong Yu, Shuze Geng
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 5
Deep learning and explainable AI for classification of potato leaf diseases
Sarah M. Alhammad, Doaa Sami Khafaga, Walaa M. Elhady, et al.
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
Software and hardware synergy for accelerated plant disease identification
Hong‐xing Wen, Chuandong Li, Xinpei Wang, et al.
Applied Soft Computing (2025), pp. 112926-112926
Closed Access
DWTFormer: a frequency-spatial features fusion model for tomato leaf disease identification
Yuyun Xiang, Shuang Gao, Xiaopeng Li, et al.
Plant Methods (2025) Vol. 21, Iss. 1
Open Access
Next generation crop protection: A systematic review of trends in modelling approaches for disease prediction
Ashley W. Jensen, Philip M. Brown, Karli Groves, et al.
Computers and Electronics in Agriculture (2025) Vol. 234, pp. 110245-110245
Open Access
Deep learning for efficient high-resolution image processing: A systematic review
Albert Dede, Henry Nunoo‐Mensah, Eric Tutu Tchao, et al.
Intelligent Systems with Applications (2025), pp. 200505-200505
Open Access
A robust and light-weight transfer learning-based architecture for accurate detection of leaf diseases across multiple plants using less amount of images
Md. Khairul Alam Mazumder, M. F. Mridha, Sultan Alfarhood, et al.
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 4
Utilizing convolutional neural networks (CNN) and U-Net architecture for precise crop and weed segmentation in agricultural imagery: A deep learning approach
Mughair Aslam Bhatti, Syam M.S., Huafeng Chen, et al.
Big Data Research (2024) Vol. 36, pp. 100465-100465
Closed Access | Times Cited: 4
Visual Attention Focusing on Fine-Grained Foreground and Eliminating Background Bias for Pest Image Identification
Xinyuan Xu, Heng Li, Qi Gao, et al.
IEEE Access (2024) Vol. 12, pp. 161732-161741
Open Access | Times Cited: 3
Prediction of tomato plants infected by fungal pathogens at different disease severities using E-nose and GC–MS
Yubing Sun, Yutong Zheng
Journal of Plant Diseases and Protection (2024) Vol. 131, Iss. 3, pp. 835-846
Open Access | Times Cited: 3
A Lightweight Crop Pest Classification Method Based on Improved MobileNet-V2 Model
Hongxing Peng, Huiming Xu, Guanjia Shen, et al.
Agronomy (2024) Vol. 14, Iss. 6, pp. 1334-1334
Open Access | Times Cited: 3
A hybrid deep learning scheme for MRI-based preliminary multiclassification diagnosis of primary brain tumors
Zhichao Wang, Chuchu He, Yan Hu, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 2
Deep learning based genomic breeding of pest-resistant grapevine
Yu Gan, Zhenya Liu, Fan Zhang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Software and Hardware Synergy for Accelerated Plant Disease Identification
Hong‐xing Wen, Ling Chen
(2024)
Closed Access | Times Cited: 1
PlanteSaine: An Artificial Intelligent Empowered Mobile Application for Pests and Disease Management for Maize, Tomato, and Onion Farmers in Burkina Faso
Obed Appiah, Kwame Oppong Hackman, Belko Diallo, et al.
Agriculture (2024) Vol. 14, Iss. 8, pp. 1252-1252
Open Access | Times Cited: 1
Innovative Lightweight Deep Learning Architecture for Enhanced Rice Pest Identification
Haiying Song, Y. Yan, Shijun Deng, et al.
Physica Scripta (2024) Vol. 99, Iss. 9, pp. 096007-096007
Open Access | Times Cited: 1
Heuristically Improvised rice disease classification framework based on adaptive segmentation with the fusion of LSTM layer into Multi-Scale Residual attention Network
S.M. Mehzabeen, R. Gayathri
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106875-106875
Closed Access | Times Cited: 1
Comparative Investigation of Deep Convolutional Networks in Detection of Plant Diseases
Fikriye Ataman, Halıl Eroglu
Türk doğa ve fen dergisi :/Türk doğa ve fen dergisi (2024)
Open Access | Times Cited: 1
BNNDC: Branched neural network for plant disease identification
Aanis Ahmad, Varun Aggarwal, Dharmendra Saraswat
Smart Agricultural Technology (2023) Vol. 5, pp. 100315-100315
Open Access | Times Cited: 3
An enhanced deep learning model for high-speed classification of plant diseases with bioinspired algorithm
A Ahila, V. Prema, S Ayyasamy, et al.
The Journal of Supercomputing (2023)
Closed Access | Times Cited: 2
Leaf identification of apple pests and diseases based on improved ResNeSt
Yongle Tian, Cuifang Zhao, Chao Wan, et al.
(2024) Vol. 36, pp. 131-131
Closed Access
Application of knowledge distillation method with dynamic adjustment of temperature parameters in pest classification
L Wang, Hongmin Zhao
Research Square (Research Square) (2024)
Open Access
SAM-ResNet50: A Deep Learning Model for the Identification and Classification of Drought Stress in the Seedling Stage of Betula luminifera
Shiya Gao, Hao Liang, Dong Hu, et al.
Remote Sensing (2024) Vol. 16, Iss. 22, pp. 4141-4141
Open Access
An Improved 2D Pose Estimation Algorithm for Extracting Phenotypic Parameters of Tomato Plants in Complex Backgrounds
Yawen Cheng, Ni Ren, Anqi Hu, et al.
Remote Sensing (2024) Vol. 16, Iss. 23, pp. 4385-4385
Open Access
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