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:

An advanced deep learning models-based plant disease detection: A review of recent research
Muhammad Shoaib, Babar Shah, Shaker El–Sappagh, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 171

Showing 1-25 of 171 citing articles:

Plant disease detection and classification techniques: a comparative study of the performances
Wubetu Barud Demilie
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 63

A review on machine learning and deep learning image-based plant disease classification for industrial farming systems
P. Sajitha, A. Diana Andrushia, N. Anand, et al.
Journal of Industrial Information Integration (2024) Vol. 38, pp. 100572-100572
Closed Access | Times Cited: 43

Towards sustainable agriculture: Harnessing AI for global food security
Dhananjay K. Pandey, Richa Mishra
Artificial Intelligence in Agriculture (2024) Vol. 12, pp. 72-84
Open Access | Times Cited: 33

Real-Time Plant Disease Dataset Development and Detection of Plant Disease Using Deep Learning
Diana Susan Joseph, Pranav M. Pawar, Kaustubh Chakradeo
IEEE Access (2024) Vol. 12, pp. 16310-16333
Open Access | Times Cited: 27

AI student success predictor: Enhancing personalized learning in campus management systems
Muhammad Shoaib, Nasir Sayed, Jaiteg Singh, et al.
Computers in Human Behavior (2024) Vol. 158, pp. 108301-108301
Closed Access | Times Cited: 27

Vegetable disease detection using an improved YOLOv8 algorithm in the greenhouse plant environment
Xuewei Wang, Jun Liu
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 21

Innovative deep learning approach for cross-crop plant disease detection: A generalized method for identifying unhealthy leaves
Imane Bouacida, Brahim Farou, Lynda Djakhdjakha, et al.
Information Processing in Agriculture (2024)
Open Access | Times Cited: 14

Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture
Abhishek Upadhyay, Narendra Singh Chandel, Krishna Pratap Singh, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access | Times Cited: 2

Hyperparameter Optimization for Tomato Leaf Disease Recognition Based on YOLOv11m
Yong-Suk Lee, Maheshkumar Prakash Patil, Jeong Gyu Kim, et al.
Plants (2025) Vol. 14, Iss. 5, pp. 653-653
Open Access | Times Cited: 2

A hybrid Framework for plant leaf disease detection and classification using convolutional neural networks and vision transformer
Sherihan Aboelenin, Foriaa Ahmed Elbasheer, Mohamed Meselhy Eltoukhy, et al.
Complex & Intelligent Systems (2025) Vol. 11, Iss. 2
Open Access | Times Cited: 1

Leveraging deep learning for plant disease and pest detection: a comprehensive review and future directions
Muhammad Shoaib, Abolghasem Sadeghi‐Niaraki, Farman Ali, et al.
Frontiers in Plant Science (2025) Vol. 16
Open Access | Times Cited: 1

Deep Learning for Plant Disease Detection
Munaf Mudheher Khalid, Oğuz Karan
International Journal of Mathematics Statistics and Computer Science (2023) Vol. 2, pp. 75-84
Open Access | Times Cited: 38

DeepRice: A deep learning and deep feature based classification of Rice leaf disease subtypes
Isaac Ritharson. P, Kumudha Raimond, X. Anitha Mary, et al.
Artificial Intelligence in Agriculture (2023) Vol. 11, pp. 34-49
Open Access | Times Cited: 28

Exploring Transfer Learning Models for Multi-Class Classification of Infected Date Palm Leaves
Fagun Patel, Shubbh Mewada, Sheshang Degadwala, et al.
(2023)
Closed Access | Times Cited: 26

Pathogen-Based Classification of Plant Diseases: A Deep Transfer Learning Approach for Intelligent Support Systems
Asha Rani K P, S Gowrishankar
IEEE Access (2023) Vol. 11, pp. 64476-64493
Open Access | Times Cited: 25

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

Artificial Intelligence: A Promising Tool for Application in Phytopathology
Victoria E. González‐Rodríguez, Inmaculada Izquierdo‐Bueno, Jesús M. Cantoral, et al.
Horticulturae (2024) Vol. 10, Iss. 3, pp. 197-197
Open Access | Times Cited: 10

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

Computer Vision for Plant Disease Recognition: A Comprehensive Review
Minh Hoang Dang, Hanxiang Wang, Yanfen Li, et al.
The Botanical Review (2024) Vol. 90, Iss. 3, pp. 251-311
Closed Access | Times Cited: 10

A Review of Machine Learning Techniques in Agroclimatic Studies
Dania Tamayo-Vera, Xiuquan Wang, Morteza Mesbah
Agriculture (2024) Vol. 14, Iss. 3, pp. 481-481
Open Access | Times Cited: 9

Relevance of Advanced Plant Disease Detection Techniques in Disease and Pest Management for Ensuring Food Security and Their Implication: A Review
Matthew Abu John, Ibukunoluwa Abimbola Bankole, Oluwatayo Benjamin Ajayi-Moses, et al.
American Journal of Plant Sciences (2023) Vol. 14, Iss. 11, pp. 1260-1295
Open Access | Times Cited: 18

Image‐based detection and classification of plant diseases using deep learning: State‐of‐the‐art review
Manju Bagga, Sonali Goyal
Urban Agriculture & Regional Food Systems (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 7

Bamboo Plant Classification Using Deep Transfer Learning with a Majority Multiclass Voting Algorithm
Ankush D. Sawarkar, Deepti D. Shrimankar, Sarvat Ali, et al.
Applied Sciences (2024) Vol. 14, Iss. 3, pp. 1023-1023
Open Access | Times Cited: 6

Artificial Intelligence: A Promising Tool for Application in Phytopathology
Victoria E. González‐Rodríguez, Inmaculada Izquierdo‐Bueno, Jesús M. Cantoral, et al.
(2024)
Open Access | Times Cited: 6

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