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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:

Identification Method of Corn Leaf Disease Based on Improved Mobilenetv3 Model
Chunguang Bi, Suzhen Xu, Nan Hu, et al.
Agronomy (2023) Vol. 13, Iss. 2, pp. 300-300
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Enhancing crop productivity and sustainability through disease identification in maize leaves: Exploiting a large dataset with an advanced vision transformer model
İshak Paçal
Expert Systems with Applications (2023) Vol. 238, pp. 122099-122099
Closed Access | Times Cited: 44
An optimal model for identification and classification of corn leaf disease using hybrid 3D-CNN and LSTM
C. Ashwini, V. Sellam
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106089-106089
Closed Access | Times Cited: 14
TeaViTNet: Tea Disease and Pest Detection Model Based on Fused Multiscale Attention
Zhichao Chen, Hongping Zhou, Haifeng Lin, et al.
Agronomy (2024) Vol. 14, Iss. 3, pp. 633-633
Open Access | Times Cited: 7
OPTIMUM RBM ENCODED SVM MODEL WITH ENSEMBLE FEATURE EXTRACTOR-BASED PLANT DISEASE PREDICTION
Piyush Sharma, Devi Prasad Sharma, Sulabh Bansal
Chemometrics and Intelligent Laboratory Systems (2025), pp. 105319-105319
Closed Access
Corn leaf disease recognition based on improved EfficientNet
Xiaowei Sun, Hua Huo
IET Image Processing (2025) Vol. 19, Iss. 1
Open Access
A Framework Utilizing Deep Learning for Detecting Multiple Cancers in Medical Imaging
Ketan Sanjay Desale, Ankush Ambhore, Prasanna Asole, et al.
Lecture notes in networks and systems (2025), pp. 111-120
Closed Access
Apple Leaf Disease Identification in Complex Background Based on BAM-Net
Yuxi Gao, Zhongzhu Cao, Weiwei Cai, et al.
Agronomy (2023) Vol. 13, Iss. 5, pp. 1240-1240
Open Access | Times Cited: 18
BerryNet-Lite: A Lightweight Convolutional Neural Network for Strawberry Disease Identification
Jianping Wang, Zhiyu Li, Guohong Gao, et al.
Agriculture (2024) Vol. 14, Iss. 5, pp. 665-665
Open Access | Times Cited: 5
Classification of Plant Leaf Disease Using Deep Learning
Indira Krishnappa, H. Mallika
Journal of The Institution of Engineers (India) Series B (2024) Vol. 105, Iss. 3, pp. 609-620
Closed Access | Times Cited: 4
A fast and lightweight detection model for wheat fusarium head blight spikes in natural environments
Chunfeng Gao, Wei Guo, Chenghai Yang, et al.
Computers and Electronics in Agriculture (2023) Vol. 216, pp. 108484-108484
Closed Access | Times Cited: 12
Lightweight One-Stage Maize Leaf Disease Detection Model with Knowledge Distillation
Yanxin Hu, Gang Liu, Zhiyu Chen, et al.
Agriculture (2023) Vol. 13, Iss. 9, pp. 1664-1664
Open Access | Times Cited: 11
Review—Unveiling the Power of Deep Learning in Plant Pathology: A Review on Leaf Disease Detection
Madhu Bala, Sushil Kumar
ECS Journal of Solid State Science and Technology (2024) Vol. 13, Iss. 4, pp. 047003-047003
Open Access | Times Cited: 2
Maize leaf disease detection using convolutional neural network: a mobile application based on pre-trained VGG16 architecture
Hansamali Paul, Hirunika Udayangani, Kalani Umesha, et al.
New Zealand Journal of Crop and Horticultural Science (2024), pp. 1-17
Closed Access | Times Cited: 2
Klasifikasi Jenis Ras Kucing Dengan Gambar Menggunakan Convolutional Neural Network (CNN)
Rahmat Gunawan, Daffy Mohamad Ismail Hanafie, Anggi Elanda
Jurnal Interkom Jurnal Publikasi Ilmiah Bidang Teknologi Informasi dan Komunikasi (2024) Vol. 18, Iss. 4, pp. 1-8
Open Access | Times Cited: 1
Identification of leaf diseases in field crops based on improved ShuffleNetV2
Hanmi Zhou, Jiageng Chen, Xiaoli Niu, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 1
TinyML Implementation on Microcontrollers: The Case of Maize Leaf Disease Identification
Fortunatus Aabangbio Wulnye, E. Arthur, Dennis Agyemanh Nana Gookyi, et al.
(2024), pp. 180-185
Closed Access | Times Cited: 1
MangroveLens: A Smart Solution for Mangrove Species Identification Through MobileNetV3 Network Architecture and Biodiversity Monitoring
Ariel Christian C. Viodor
(2024) Vol. 9, pp. 1-6
Closed Access | Times Cited: 1
Deep Learning Recognition of Wheat Leaf Disease Using MobileNetV2 Model
Sara Bouskour, Mohamed Hicham Zaggaf, Lhoussain Bahatti
(2024), pp. 1-6
Closed Access | Times Cited: 1
HybridPlantNet23: A Scientific Insight into the Power of Ensemble Modelling using VGG16 and Darknet53 for Plant Disease Classification
Tahir Çetin Akıncı, Sami Ekici, Masud Kabir, et al.
(2024)
Open Access | Times Cited: 1
Integrating high-frequency detail information for enhanced corn leaf disease recognition: A model utilizing fusion imagery
Haidong Li, Chao Ruan, Jinling Zhao, et al.
European Journal of Agronomy (2024) Vol. 164, pp. 127489-127489
Closed Access | Times Cited: 1
A Deep Learning Framework for Multi-Cancer Detection in Medical Imaging
Ketan Sanjay Desale, Prasanna Asole, Girish Bhosale, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 4
Automatic Detection Method for Black Smoke Vehicles Considering Motion Shadows
Han Wang, Ke Chen, Yanfeng Li
Sensors (2023) Vol. 23, Iss. 19, pp. 8281-8281
Open Access | Times Cited: 3
Perspective deformation correction for circular pointer meter based on prior indication structure feature
Wenxuan Shan, Fuzhong Bai, Yongxiang Xu, et al.
Measurement (2024) Vol. 229, pp. 114423-114423
Closed Access
Detecting dried Oudemansiella raphanipies using RGB imaging: A case study
Hua Yin, Jiamin Zhao, Danying Lei, et al.
Drying Technology (2024) Vol. 42, Iss. 9, pp. 1466-1479
Closed Access
Harnessing Machine Learning for Accurate Corn Leaf Disease Classification
L. Pavithra, Hithaishi Reddy, M S Bhargavi
(2024), pp. 1-6
Closed Access
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