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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:

Convolutional Neural Networks in Detection of Plant Leaf Diseases: A Review
Bülent Tuğrul, Elhoucine Elfatimi, Recep Eryiğit
Agriculture (2022) Vol. 12, Iss. 8, pp. 1192-1192
Open Access | Times Cited: 108

Showing 1-25 of 108 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
Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review
Gustavo A. Mesías-Ruiz, María Pérez‐Ortiz, José Dorado, et al.
Frontiers in Plant Science (2023) Vol. 14
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
Predicting and Classifying Potato Leaf Disease using K-means Segmentation Techniques and Deep Learning Networks
Md. Ashiqur Rahaman Nishad, Meherabin Akter Mitu, Nusrat Jahan
Procedia Computer Science (2022) Vol. 212, pp. 220-229
Open Access | Times Cited: 39
Combining CNN and SVM for Accurate Identification of Ridge Gourd Leaf Diseases
Deepak Banerjee, Vinay Kukreja, Amit Gupta, et al.
(2023)
Closed Access | Times Cited: 26
Yolo for Detecting Plant Diseases
Chairma Lakshmi K R, B Praveena, G Sahaana, et al.
(2023), pp. 1029-1034
Closed Access | Times Cited: 24
An advanced deep learning model for predicting water quality index
Mohammad Ehteram, Ali Najah Ahmed, Mohsen Sherif, et al.
Ecological Indicators (2024) Vol. 160, pp. 111806-111806
Open Access | Times Cited: 12
Collaborative Intelligence in AgriTech: Federated Learning CNN for Bean Leaf Disease Classification
Shiva Mehta, Vinay Kukreja, Amit Gupta
(2023)
Closed Access | Times Cited: 18
Sustainable AI-Driven Applications for Plant Care and Treatment
Muhammad Naveed, Nafeesa Zahid, Ibtihaj Fatima, et al.
Microorganisms for sustainability (2024), pp. 235-258
Closed Access | Times Cited: 6
Explainable ResNet50 learning model based on copula entropy for cotton plant disease prediction
Heba Askr, M. A. El-Dosuky, Ashraf Darwish, et al.
Applied Soft Computing (2024) Vol. 164, pp. 112009-112009
Closed Access | Times Cited: 6
Plant Leaf Disease Detection Using Deep Learning: A Multi-Dataset Approach
Manjunatha Shettigere Krishna, Pedro Machado, Richard I. Otuka, et al.
J — Multidisciplinary Scientific Journal (2025) Vol. 8, Iss. 1, pp. 4-4
Open Access
Plant Disease Detection Using Deep Convolutional Neural Network for Corn, Rice, and Banana Crop
Divyam Dholwani, Kaustubh Patil, Vedangi Thokal, et al.
Lecture notes in networks and systems (2025), pp. 27-45
Closed Access
Optimizing Rice Plant Disease Classification Using Data Augmentation with GANs on Convolutional Neural Networks
Tinuk Agustin, Indrawan Ady Saputro, Mochammad Luthfi Rahmadi
INTENSIF Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi (2025) Vol. 9, Iss. 1, pp. 97-114
Open Access
Past, present and future of deep plant leaf disease recognition: A survey
Romiyal George, Selvarajah Thuseethan, Roshan Ragel, et al.
Computers and Electronics in Agriculture (2025) Vol. 234, pp. 110128-110128
Open Access
Prediction of Pea (Pisum sativum L.) Seeds Yield Using Artificial Neural Networks
Patryk Hara, Magdalena Piekutowska, Gniewko Niedbała
Agriculture (2023) Vol. 13, Iss. 3, pp. 661-661
Open Access | Times Cited: 14
Image-based crop disease detection with federated learning
Denis Mamba Kabala, Adel Hafiane, Laurent Bobelin, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 14
Crop-saving with AI: latest trends in deep learning techniques for plant pathology
Salman Zafar, Abdullah Muhammad, Md. Jalil Piran, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 13
A Review on Plant Disease Detection Using Hyperspectral Imaging
Rakiba Rayhana, Zhenyu Ma, Zheng Liu, et al.
IEEE Transactions on AgriFood Electronics (2023) Vol. 1, Iss. 2, pp. 108-134
Closed Access | Times Cited: 13
Deep learning technique for plant disease detection
Temitope Samson Adekunle, Morolake Oladayo Lawrence, Oluwaseyi Omotayo Alabı, et al.
Computer Science and Information Technologies (2024) Vol. 5, Iss. 1, pp. 49-56
Open Access | Times Cited: 4
Effective Tomato Leaf Disease Identification Model using MobileNetV3Small
Mumtaz Qabulio, Muhammad Suleman Memon, Shahid Iqbal, et al.
International Journal of Information Systems and Computer Technologies (2024) Vol. 3, Iss. 1, pp. 57-72
Open Access | Times Cited: 4
Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization
Sambandh Bhusan Dhal, Debashish Kar
Forecasting (2024) Vol. 6, Iss. 4, pp. 925-951
Open Access | Times Cited: 4
A deep learning-based model for plant lesion segmentation, subtype identification, and survival probability estimation
Muhammad Shoaib, Babar Shah, Tariq Hussain, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 20
Transfer Learning for Rice Leaf Disease Detection
Chinna Gopi Simhadri, Hari Kishan Kondaveeti
(2023), pp. 509-515
Closed Access | Times Cited: 11
A Comprehensive Review of Scab Disease Detection on Rosaceae Family Fruits via UAV Imagery
Zain Anwar Ali, Chenguang Yang, Amber Israr, et al.
Drones (2023) Vol. 7, Iss. 2, pp. 97-97
Open Access | Times Cited: 10
Determining the community composition of herbaceous species from images using convolutional neural networks
Matthias Körschens, Solveig Franziska Bucher, Paul Bodesheim, et al.
Ecological Informatics (2024) Vol. 80, pp. 102516-102516
Open Access | Times Cited: 3
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