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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 survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools
Aanis Ahmad, Dharmendra Saraswat, Aly El Gamal
Smart Agricultural Technology (2022) Vol. 3, pp. 100083-100083
Open Access | Times Cited: 184

Showing 1-25 of 184 citing articles:

Deep learning: systematic review, models, challenges, and research directions
Tala Talaei Khoei, Hadjar Ould Slimane, Naima Kaabouch
Neural Computing and Applications (2023) Vol. 35, Iss. 31, pp. 23103-23124
Open Access | Times Cited: 101
A two-stage deep-learning based segmentation model for crop disease quantification based on corn field imagery
L. G. Divyanth, Aanis Ahmad, Dharmendra Saraswat
Smart Agricultural Technology (2022) Vol. 3, pp. 100108-100108
Open Access | Times Cited: 73
Toward Generalization of Deep Learning-Based Plant Disease Identification Under Controlled and Field Conditions
Aanis Ahmad, Aly El Gamal, Dharmendra Saraswat
IEEE Access (2023) Vol. 11, pp. 9042-9057
Open Access | Times Cited: 55
Monitoring Tomato Leaf Disease through Convolutional Neural Networks
Juan Antonio Guerrero Ibáñez, Angélica Reyes
Electronics (2023) Vol. 12, Iss. 1, pp. 229-229
Open Access | Times Cited: 52
DeepCrop: Deep learning-based crop disease prediction with web application
Md. Manowarul Islam, Md. Adil, Md. Alamin Talukder, et al.
Journal of Agriculture and Food Research (2023) Vol. 14, pp. 100764-100764
Open Access | Times Cited: 52
A Deep Features Extraction Model Based on the Transfer Learning Model and Vision Transformer “TLMViT” for Plant Disease Classification
Amer Tabbakh, Soubhagya Sankar Barpanda
IEEE Access (2023) Vol. 11, pp. 45377-45392
Open Access | Times Cited: 43
Plant Disease Diagnosis Using Deep Learning Based on Aerial Hyperspectral Images: A Review
Lukas Wiku Kuswidiyanto, Hyun Ho Noh, Xiongzhe Han
Remote Sensing (2022) Vol. 14, Iss. 23, pp. 6031-6031
Open Access | Times Cited: 45
Tomato leaf disease identification via two–stage transfer learning approach
Theodora Sanida, Argyrios Sideris, Maria Vasiliki Sanida, et al.
Smart Agricultural Technology (2023) Vol. 5, pp. 100275-100275
Open Access | Times Cited: 38
MaizeNet: A Deep Learning Approach for Effective Recognition of Maize Plant Leaf Diseases
Momina Masood, Marriam Nawaz, Tahira Nazir, et al.
IEEE Access (2023) Vol. 11, pp. 52862-52876
Open Access | Times Cited: 33
Machine learning in nutrient management: A review
Oumnia Ennaji, Leonardus Vergütz, Achraf El Allali
Artificial Intelligence in Agriculture (2023) Vol. 9, pp. 1-11
Open Access | Times Cited: 31
PMVT: a lightweight vision transformer for plant disease identification on mobile devices
Guoqiang Li, Yuchao Wang, Qing Zhao, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 27
Transform and Deep Learning Algorithms for the Early Detection and Recognition of Tomato Leaf Disease
Mohammed S. Al-zahrani, Fawaz Waselallah Alsaade
Agronomy (2023) Vol. 13, Iss. 5, pp. 1184-1184
Open Access | Times Cited: 25
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
Machine Learning Techniques for Improving Nanosensors in Agroenvironmental Applications
Claudia Arellano, Joseph Govan
Agronomy (2024) Vol. 14, Iss. 2, pp. 341-341
Open Access | Times Cited: 11
Plant Leaf Disease Detection, Classification, and Diagnosis Using Computer Vision and Artificial Intelligence: A Review
Anuja Bhargava, Aasheesh Shukla, Om Prakash Goswami, et al.
IEEE Access (2024) Vol. 12, pp. 37443-37469
Open Access | Times Cited: 11
Plant Disease Diagnosis with Artificial Intelligence (AI)
Muhammad Naveed, Muhammad Majeed, Khizra Jabeen, et al.
Microorganisms for sustainability (2024), pp. 217-234
Closed Access | Times Cited: 10
An Integrated Framework of Two-Stream Deep Learning Models Optimal Information Fusion for Fruits Disease Recognition
Unber Zahra, Muhammad Attique Khan, Majed Alhaisoni, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 17, pp. 3038-3052
Open Access | Times Cited: 17
Automatic mango leaf disease detection using different transfer learning models
Teena Varma, Prajwal Mate, Noamaan Abdul Azeem, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 6
Cross-comparative review of Machine learning for plant disease detection: apple, cassava, cotton and potato plants
James Daniel Omaye, Emeka Ogbuju, Grace Ataguba, et al.
Artificial Intelligence in Agriculture (2024) Vol. 12, pp. 127-151
Open Access | Times Cited: 6
Unmanned aerial vehicles (UAVs): an adoptable technology for precise and smart farming
Sujith Makam, Bharath Kumar Komatineni, Sanwal Singh Meena, et al.
Discover Internet of Things (2024) Vol. 4, Iss. 1
Open 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
A deep learning-based model for biotic rice leaf disease detection
Amandeep Kaur, Kalpna Guleria, Naresh Kumar Trivedi
Multimedia Tools and Applications (2024) Vol. 83, Iss. 36, pp. 83583-83609
Closed Access | Times Cited: 5
Machine/deep learning techniques for disease and nutrient deficiency disorder diagnosis in rice crops: A systematic review
Mayuri Sharma, Chandan Jyoti Kumar, Dhruba K. Bhattacharyya
Biosystems Engineering (2024) Vol. 244, pp. 77-92
Closed Access | Times Cited: 5
Enhancing Agricultural Productivity: IOT and Attention-Based CNN-BLSTM For Fine-Grained Crop Disease Detection
Cuddapah Anitha, B Ambika, P. Vasuki, et al.
Journal of Machine and Computing (2025), pp. 255-263
Closed Access
A Smart Camera With Integrated Deep Learning Processing for Disease Detection in Open Field Crops of Grape, Apple, and Carrot
G. Polder, Pieter M. Blok, Tim van Daalen, et al.
Journal of Field Robotics (2025)
Open Access
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