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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:

Recognition of rice leaf diseases and wheat leaf diseases based on multi-task deep transfer learning
Zhencun Jiang, Zhengxin Dong, Wenping Jiang, et al.
Computers and Electronics in Agriculture (2021) Vol. 186, pp. 106184-106184
Closed Access | Times Cited: 160

Showing 1-25 of 160 citing articles:

A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases
Vijaypal Singh Dhaka, Sangeeta Vaibhav Meena, Geeta Rani, et al.
Sensors (2021) Vol. 21, Iss. 14, pp. 4749-4749
Open Access | Times Cited: 278
Cardamom Plant Disease Detection Approach Using EfficientNetV2
C. K. Sunil, C. D. Jaidhar, Nagamma Patil
IEEE Access (2021) Vol. 10, pp. 789-804
Open Access | Times Cited: 147
A review of deep learning techniques used in agriculture
Ishana Attri, Lalit Kumar Awasthi, Teek Parval Sharma, et al.
Ecological Informatics (2023) Vol. 77, pp. 102217-102217
Closed Access | Times Cited: 121
Apple leaf disease recognition method with improved residual network
Helong Yu, Xianhe Cheng, Chengcheng Chen, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 6, pp. 7759-7782
Closed Access | Times Cited: 110
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: 109
Inception convolutional vision transformers for plant disease identification
Sheng Yu, Li Xie, Qilei Huang
Internet of Things (2022) Vol. 21, pp. 100650-100650
Open Access | Times Cited: 72
A lightweight CNN-based network on COVID-19 detection using X-ray and CT images
Mei‐Ling Huang, Yu-Chieh Liao
Computers in Biology and Medicine (2022) Vol. 146, pp. 105604-105604
Open Access | Times Cited: 70
Tomato plant disease classification using Multilevel Feature Fusion with adaptive channel spatial and pixel attention mechanism
C. K. Sunil, Jaidhar C.D., Nagamma Patil
Expert Systems with Applications (2023) Vol. 228, pp. 120381-120381
Closed Access | Times Cited: 62
MobileNet-CA-YOLO: An Improved YOLOv7 Based on the MobileNetV3 and Attention Mechanism for Rice Pests and Diseases Detection
Liangquan Jia, Tao Wang, Yi Chen, et al.
Agriculture (2023) Vol. 13, Iss. 7, pp. 1285-1285
Open Access | Times Cited: 57
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: 49
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
Optimizing rice plant disease detection with crossover boosted artificial hummingbird algorithm based AX-RetinaNet
Senthil Pandi Sankareshwaran, Gitanjali Jayaraman, Pounambal Muthukumar, et al.
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 9
Closed Access | Times Cited: 42
PlaNet: a robust deep convolutional neural network model for plant leaves disease recognition
Munish Khanna, Law Kumar Singh, Shankar Thawkar, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 2, pp. 4465-4517
Closed Access | Times Cited: 40
Rice leaf disease identification by residual-distilled transformer
Changjian Zhou, Yujie Zhong, Sihan Zhou, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 106020-106020
Closed Access | Times Cited: 39
A Model for Detecting Xanthomonas campestris Using Machine Learning Techniques Enhanced by Optimization Algorithms
Daniel-David Leal-Lara, Julio Barón Velándia, Lina-María Molina-Parra, et al.
Agriculture (2025) Vol. 15, Iss. 3, pp. 223-223
Open Access | Times Cited: 1
Non-destructive origin and ginsenoside analysis of American ginseng via NIR and deep learning
Peng Li, Siqi Wang, Lin Yu, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2025) Vol. 334, pp. 125913-125913
Closed Access | Times Cited: 1
Method for Diagnosis of Acute Lymphoblastic Leukemia Based on ViT‐CNN Ensemble Model
Zhencun Jiang, Zhengxin Dong, Lingyang Wang, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 77
Wheat leaf disease identification based on deep learning algorithms
Laixiang Xu, Bingxu Cao, Fengjie Zhao, et al.
Physiological and Molecular Plant Pathology (2022) Vol. 123, pp. 101940-101940
Open Access | Times Cited: 53
A Hybrid Model for Leaf Diseases Classification Based on the Modified Deep Transfer Learning and Ensemble Approach for Agricultural AIoT-Based Monitoring
Maryam Saberi Anari
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 50
Banana Fusarium Wilt Disease Detection by Supervised and Unsupervised Methods from UAV-Based Multispectral Imagery
Shimin Zhang, Xiuhua Li, Yuxuan Ba, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1231-1231
Open Access | Times Cited: 42
Evaluation of Diverse Convolutional Neural Networks and Training Strategies for Wheat Leaf Disease Identification with Field-Acquired Photographs
Jiale Jiang, Haiyan Liu, Zhao Chen, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3446-3446
Open Access | Times Cited: 39
Multi-task convolutional neural network for simultaneous monitoring of lipid and protein oxidative damage in frozen-thawed pork using hyperspectral imaging
Jiehong Cheng, Jun Sun, Kunshan Yao, et al.
Meat Science (2023) Vol. 201, pp. 109196-109196
Closed Access | Times Cited: 32
Rice leaf disease detection based on bidirectional feature attention pyramid network with YOLO v5 model
Vinay Kumar, M. Jaganathan, A. Viswanathan, et al.
Environmental Research Communications (2023) Vol. 5, Iss. 6, pp. 065014-065014
Open Access | Times Cited: 24
Wheat leaf disease classification using modified ResNet50 convolutional neural network model
A. Usha Ruby, J. George Chellin Chandran, B N Chaithanya, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 23, pp. 62875-62893
Closed Access | Times Cited: 14
Multi-task learning model for agricultural pest detection from crop-plant imagery: A Bayesian approach
Abderraouf Amrani, Dean Diepeveen, David W. Murray, et al.
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108719-108719
Open Access | Times Cited: 13
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