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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:

Classification and Detection of Rice Diseases Using a 3-Stage CNN Architecture with Transfer Learning Approach
Munmi Gogoi, Vikash Kumar, Shahin Ara Begum, et al.
Agriculture (2023) Vol. 13, Iss. 8, pp. 1505-1505
Open Access | Times Cited: 13

Showing 13 citing articles:

Deep learning for rice leaf disease detection: A systematic literature review on emerging trends, methodologies and techniques
Chinna Gopi Simhadri, Hari Kishan Kondaveeti, V. Valli Kumari, et al.
Information Processing in Agriculture (2024)
Open Access | Times Cited: 10
MobileNetV2-Incep-M: a hybrid lightweight model for the classification of rice plant diseases
Akash Arya, Pankaj Kumar Mishra
Multimedia Tools and Applications (2024) Vol. 83, Iss. 33, pp. 79117-79144
Closed Access | Times Cited: 6
Advancements in rice disease detection through convolutional neural networks: A comprehensive review
Burak Gülmez
Heliyon (2024) Vol. 10, Iss. 12, pp. e33328-e33328
Open Access | Times Cited: 6
AI‐Enable Rice Image Classification Using Hybrid Convolutional Neural Network Models
Daya Shankar Verma, Mrinal Dafadar, Jitendra K. Mishra, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access
Recognition of Multi-Symptomatic Rice Leaf Blast in Dual Scenarios by Using Convolutional Neural Networks
Huiru Zhou, Dingzhou Cai, Li‐Fong Lin, et al.
Smart Agricultural Technology (2025), pp. 100867-100867
Open Access
Disease Infection Classification in Coconut Tree Based on an Enhanced Visual Geometry Group Model
Xiaocun Huang, Mustafa Muwafak Alobaedy, Yousef Fazea, et al.
Processes (2025) Vol. 13, Iss. 3, pp. 689-689
Open Access
A Diseased Rice Plant Detection Method Based on Transfer Learning Technique
D. Duong, Minh Tam Ha, Van-Toi Nguyen
Lecture notes in networks and systems (2025), pp. 277-284
Closed Access
GDS‐YOLO: A Rice Diseases Identification Model With Enhanced Feature Extraction Capability
Yourui Huang, Xi Feng, Tao Han, et al.
IET Image Processing (2025) Vol. 19, Iss. 1
Open Access
Automatic Detection of Rice Blast Fungus Spores by Deep Learning-Based Object Detection: Models, Benchmarks and Quantitative Analysis
Huiru Zhou, Qiang Lai, Qiong Huang, et al.
Agriculture (2024) Vol. 14, Iss. 2, pp. 290-290
Open Access | Times Cited: 2
A Systematic Review of Deep Learning Techniques for Rice Disease Recognition: Current Trends and Future Directions
Hassan Muhammad Yusuf, Sahabi Ali Yusuf, Amina Hassan Abubakar, et al.
Franklin Open (2024) Vol. 8, pp. 100154-100154
Open Access | Times Cited: 2
SGDR-YOLOv8: Training Method for Rice Diseases Detection Using YOLOv8
Thanh Dang Bui, Mac Tuan Anh, Khanh Dang Giap, et al.
Communications in computer and information science (2024), pp. 170-180
Closed Access | Times Cited: 1
EnConv: enhanced CNN for leaf disease classification
M. Thanjaivadivel, C Gobinath, J. Vellingiri, et al.
Journal of Plant Diseases and Protection (2024) Vol. 132, Iss. 1
Open Access | Times Cited: 1
Knowledge Distillation and Weight Pruning for Two-step Compression of ConvNets in Rice Leaf Disease Classification
Tashik Ahmed, S N Jannat, Abdullah Rahat, et al.
(2024), pp. 72-78
Closed Access
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