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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:

Automatic detection and severity analysis of grape black measles disease based on deep learning and fuzzy logic
Miaomiao Ji, Zhibin Wu
Computers and Electronics in Agriculture (2022) Vol. 193, pp. 106718-106718
Closed Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

Deep learning based computer vision approaches for smart agricultural applications
V. G. Dhanya, A. Subeesh, Nand Lal Kushwaha, et al.
Artificial Intelligence in Agriculture (2022) Vol. 6, pp. 211-229
Open Access | Times Cited: 150
Trends in vision-based machine learning techniques for plant disease identification: A systematic review
Poornima Singh Thakur, Pritee Khanna, Tanuja Sheorey, et al.
Expert Systems with Applications (2022) Vol. 208, pp. 118117-118117
Closed Access | Times Cited: 125
A Systematic Literature Review on Plant Disease Detection: Motivations, Classification Techniques, Datasets, Challenges, and Future Trends
Wasswa Shafik, Ali Tufail, Abdallah Namoun, et al.
IEEE Access (2023) Vol. 11, pp. 59174-59203
Open Access | Times Cited: 53
Systematic study on deep learning-based plant disease detection or classification
C. K. Sunil, C. D. Jaidhar, Nagamma Patil
Artificial Intelligence Review (2023) Vol. 56, Iss. 12, pp. 14955-15052
Closed Access | Times Cited: 48
Plant image recognition with deep learning: A review
Huiling Chen, Yiqi Huang, Zizhao Zhang, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108072-108072
Closed Access | Times Cited: 48
Multi-Class Classification of Plant Leaf Diseases Using Feature Fusion of Deep Convolutional Neural Network and Local Binary Pattern
Khalid M. Hosny, Walaa M. Elhady, Farid M. Samy, et al.
IEEE Access (2023) Vol. 11, pp. 62307-62317
Open Access | Times Cited: 47
Hybrid deep learning with improved Salp swarm optimization based multi-class grape disease classification model
Shtwai Alsubai, Ashit Kumar Dutta, Ahmed Alkhayyat, et al.
Computers & Electrical Engineering (2023) Vol. 108, pp. 108733-108733
Closed Access | Times Cited: 44
A Novel Classification Approach for Grape Leaf Disease Detection Based on Different Attention Deep Learning Techniques
S. Phani Praveen, Rajeswari Nakka, Anuradha Chokka, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 6
Open Access | Times Cited: 39
Intelligent detection for sustainable agriculture: A review of IoT-based embedded systems, cloud platforms, DL, and ML for plant disease detection
Abdennabi Morchid, Marouane Marhoun, Rachid El Alami, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 28, pp. 70961-71000
Closed Access | Times Cited: 17
Detection of citrus black spot disease and ripeness level in orange fruit using learning-to-augment incorporated deep networks
Mohammad Momeny, Ahmad Jahanbakhshi, Ali Asghar Neshat, et al.
Ecological Informatics (2022) Vol. 71, pp. 101829-101829
Closed Access | Times Cited: 50
Accurate cotton diseases and pests detection in complex background based on an improved YOLOX model
Yuanjia Zhang, Benxue Ma, Yating Hu, et al.
Computers and Electronics in Agriculture (2022) Vol. 203, pp. 107484-107484
Closed Access | Times Cited: 46
Capsule network-based disease classification for Vitis Vinifera leaves
A. Diana Andrushia, T. Mary Neebha, Patricia Anthony, et al.
Neural Computing and Applications (2023) Vol. 36, Iss. 2, pp. 757-772
Closed Access | Times Cited: 30
Detection of plant leaf diseases using deep convolutional neural network models
Puja Singla, K. Vijaya, Ramalingam Senthil
Multimedia Tools and Applications (2024) Vol. 83, Iss. 24, pp. 64533-64549
Closed Access | Times Cited: 8
Two-Stage Convolutional Neural Networks for Diagnosing the Severity of Alternaria Leaf Blotch Disease of the Apple Tree
Boyuan Liu, Ke-Jun Fan, Wen‐Hao Su, et al.
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2519-2519
Open Access | Times Cited: 33
Image-based disease classification in grape leaves using convolutional capsule network
A. Diana Andrushia, T. Mary Neebha, Patricia Anthony, et al.
Soft Computing (2022) Vol. 27, Iss. 3, pp. 1457-1470
Closed Access | Times Cited: 32
Cascading Autoencoder With Attention Residual U-Net for Multi-Class Plant Leaf Disease Segmentation and Classification
S. Abinaya, K. Kumar, A. Sherly Alphonse
IEEE Access (2023) Vol. 11, pp. 98153-98170
Open Access | Times Cited: 20
Citrus pose estimation from an RGB image for automated harvesting
Qixin Sun, Ming Zhong, Xiujuan Chai, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 108022-108022
Closed Access | Times Cited: 18
Fighting Grape Black Rot with Deep Learning: A CNN-LSTM Hybrid Model for Disease Severity Classification
Poonam Gaur, Ravi Kumar Sharma, Ravi Kumar, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 16
GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification
R. Karthik, R. Menaka, S. Ompirakash, et al.
IEEE Access (2024) Vol. 12, pp. 19612-19624
Open Access | Times Cited: 6
Tomato leaf disease recognition based on multi-task distillation learning
Bo Liu, Shusen Wei, Fan Zhang, et al.
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 5
GLDCNet: A novel convolutional neural network for grapevine leafroll disease recognition using UAV-based imagery
Yixue Liu, Jinya Su, Zhouzhou Zheng, et al.
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108668-108668
Closed Access | Times Cited: 5
High-Efficiency and High-Precision Ship Detection Algorithm Based on Improved YOLOv8n
Kun Lan, Xiaoliang Jiang, Xiaokang Ding, et al.
Mathematics (2024) Vol. 12, Iss. 7, pp. 1072-1072
Open Access | Times Cited: 5
Edge-Cloud Remote Sensing Data-Based Plant Disease Detection Using Deep Neural Networks With Transfer Learning
Mazin Abed Mohammed, Abdullah Lakhan, Karrar Hameed Abdulkareem, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 11219-11229
Open Access | Times Cited: 5
Review of deep learning-based methods for non-destructive evaluation of agricultural products
Zhenye Li, Dongyi Wang, Tingting Zhu, et al.
Biosystems Engineering (2024) Vol. 245, pp. 56-83
Closed Access | Times Cited: 5
Advancements in smart agriculture: A systematic literature review on state‐of‐the‐art plant disease detection with computer vision
Esra Yılmaz, Sevim Ceylan Bocekci, Cengiz Şafak, et al.
IET Computer Vision (2025) Vol. 19, Iss. 1
Open Access
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