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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:

CoffeeNet: A deep learning approach for coffee plant leaves diseases recognition
Marriam Nawaz, Tahira Nazir, Ali Javed, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121481-121481
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

UPFormer: U-sharped Perception lightweight Transformer for segmentation of field grape leaf diseases
Xinxin Zhang, Fei Li, H. Zheng, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123546-123546
Closed Access | Times Cited: 12
An interpretable fusion model integrating lightweight CNN and transformer architectures for rice leaf disease identification
Amitabha Chakrabarty, Sarder Tanvir Ahmed, Md. Fahim Ul Islam, et al.
Ecological Informatics (2024) Vol. 82, pp. 102718-102718
Open Access | Times Cited: 11
Streamlining plant disease diagnosis with convolutional neural networks and edge devices
Md. Faysal Ahamed, Abdus Salam, Md. Nahiduzzaman, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 29, pp. 18445-18477
Closed Access | Times Cited: 5
Classification of infection grade for anthracnose in mango leaves under complex background based on CBAM-DBIRNet
Bin Zhang, Zongbin Wang, Chengkai Ye, et al.
Expert Systems with Applications (2024) Vol. 260, pp. 125343-125343
Closed Access | Times Cited: 4
A systematic review of deep learning techniques for plant diseases
İshak Paçal, İsmail Kunduracıoğlu, Mehmet Hakkı Alma, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 4
Spatial and Temporal Variability Management for All Farmers: A Cell-Size Approach to Enhance Coffee Yields and Optimize Inputs
Eudocio Rafael Otavio da Silva, Thiago Lima da Silva, Marcelo Chan Fu Wei, et al.
Plants (2025) Vol. 14, Iss. 2, pp. 169-169
Open Access
Enhancing Coffee Leaf Rust Detection Using DenseNet201: A Comprehensive Analysis of the Mbozi and Public Datasets in Songwe, Tanzania
Adrian Jackob Karia, Juma Said Ally, Stanley Leonard
African Journal of Empirical Research (2025) Vol. 6, Iss. 1, pp. 171-188
Closed Access
Innovative Deep Learning Framework for Accurate Plant Disease Detection and Crop Productivity Enhancement
M. Mohan, S. Anandamurugan
Cognitive Computation (2025) Vol. 17, Iss. 1
Closed Access
AI-driven plant health monitoring: evaluating the WRLSB-HPS algorithm for leaf disease classification
Puneet Kumar, H. Lalitha, D. Priya, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
EConv-ViT: A strongly generalized apple leaf disease classification model based on the fusion of ConvNeXt and Transformer
Xin Huang, Demin Xu, Yongjun Chen, et al.
Information Processing in Agriculture (2025)
Open Access
Role of Artificial Intelligence in Agriculture: An Analysis and Advancements With Focus on Plant Diseases
Ruchi Rani, Jayakrushna Sahoo, Sivaiah Bellamkonda, et al.
IEEE Access (2023) Vol. 11, pp. 137999-138019
Open Access | Times Cited: 10
Advancing common bean (Phaseolus vulgaris L.) disease detection with YOLO driven deep learning to enhance agricultural AI
Daniela Gómez, Michael Gomez Selvaraj, Jorge Casas, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Enhancing Plant Disease Detection using Advanced Deep Learning Models
Kamaldeep Kaur, Khusboo Bansal
Indian Journal of Science and Technology (2024) Vol. 17, Iss. 17, pp. 1755-1766
Open Access | Times Cited: 2
Local and Global Feature-Aware Dual-Branch Networks for Plant Disease Recognition
Jianwu Lin, Xin Zhang, Yongbin Qin, et al.
Plant Phenomics (2024) Vol. 6
Open Access | Times Cited: 2
Visualisation and Classification of Coffee Leaves via the Use of a Sequential CNN Model Based on Deep Learning
Muskan Singla, Kanwarpartap Singh Gill, Deepak Upadhyay, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 2
Enhancing Precision in Rice Leaf Disease Detection: A Transformer Model Approach with Attention Mapping
Sarder Tanvir Ahmed, Shomtirtha Barua, Md. Fahim-Ul-Islam, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Automatic Maize Leaf Disease Recognition Using Deep Learning
Muhammet Çakmak
Sakarya University Journal of Computer and Information Sciences (2024) Vol. 7, Iss. 1, pp. 61-76
Open Access | Times Cited: 1
Deep Learning for Coffee Leaf Diseases Detection in Precision Agriculture
Ibrahim M. Elezmazy, Mohamed Abouhawwash, Nihal N. Mostafa
Optimization in agriculture. (2024) Vol. 1, pp. 129-136
Open Access
Performance of Neural Networks in the Prediction of Nitrogen Nutrition in Strawberry Plants
Jamile Raquel Regazzo, Thiago Lima da Silva, Marcos Silva Tavares, et al.
AgriEngineering (2024) Vol. 6, Iss. 2, pp. 1760-1770
Open Access
A Coffee Leaf Disease Detection via Deep Learning Algorithms
Praveen M Bidarakundi, B. Muthu Kumar
(2024) Vol. 3, pp. 1-5
Closed Access
Research on Tea Disease Model Based on Improved ResNet34 and Transfer Learning
Rong Ye, Yun He, Quan Gao, et al.
(2024) Vol. 35, pp. 27-34
Closed Access
Fruit and vegetable leaf disease recognition based on a novel custom convolutional neural network and shallow classifier
Syeda Aimal Fatima Naqvi, Muhammad Attique Khan, Ameer Hamza, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access
Integrating NMSA based advanced light-weight aggregated fusion channel network for robust tomato leaf disease detection
J. Karthika, R Asha, N. Priyanka, et al.
Multimedia Tools and Applications (2024)
Closed Access
Advanced CNN Approach for Segmentation of Diseased Areas in Plant Images
Abdullah ŞENER, Burhan Ergen
Deleted Journal (2024) Vol. 76, Iss. 6, pp. 1569-1583
Closed Access
Automatic visual recognition for leaf disease based on enhanced attention mechanism
Yumeng Yao, Xiaodun Deng, Xu Zhang, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2365-e2365
Open Access
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