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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 of Rice Leaf Disease Using Improved ShuffleNet V2
Yang Zhou, Chunjiao Fu, Yuting Zhai, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 75, Iss. 2, pp. 4501-4517
Open Access | Times Cited: 13

Showing 13 citing articles:

A New Precise Power Quality Disturbance Identification Framework Based on Two-Dimensional Characterization Feature Enhancement and Deep Learning
Yichen Ge, Zonglin Li, Wenbin Zhou, et al.
Processes (2025) Vol. 13, Iss. 3, pp. 675-675
Open Access
YOLO v7-CS: A YOLO v7-Based Model for Lightweight Bayberry Target Detection Count
Shuo Li, Tao Tao, Yun Zhang, et al.
Agronomy (2023) Vol. 13, Iss. 12, pp. 2952-2952
Open Access | Times Cited: 11
Citrus Pest Identification Model Based on Improved ShuffleNet
Yannan Yu, Chun-Lin Xiong, Jichi Yan, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4437-4437
Open Access | Times Cited: 3
ResViT-Rice: A Deep Learning Model Combining Residual Module and Transformer Encoder for Accurate Detection of Rice Diseases
Yujia Zhang, Luteng Zhong, Yu Ding, et al.
Agriculture (2023) Vol. 13, Iss. 6, pp. 1264-1264
Open Access | Times Cited: 7
Rice Disease Classification Using a Stacked Ensemble of Deep Convolutional Neural Networks
Zhibin Wang, Yana Wei, Cuixia Mu, et al.
Sustainability (2024) Vol. 17, Iss. 1, pp. 124-124
Open Access | Times Cited: 1
Camellia oleifera Fruit Detection Algorithm in Natural Environment Based on Lightweight Convolutional Neural Network
Zefeng Li, Lichun Kang, Honghui Rao, et al.
Applied Sciences (2023) Vol. 13, Iss. 18, pp. 10394-10394
Open Access | Times Cited: 3
Non-Destructive Prediction Approach for Pomelo Granulation Quality Using MRI and Hyperspectral Imaging Technology
Dengfei Jie, Zhihong Li, Shuang Wu, et al.
(2024)
Closed Access
EnPredRNN: An Enhanced PredRNN Network for Extending Spatio-Temporal Prediction Period
Dali Wu, Jiayang Kong, Zhicheng Li, et al.
IEEE Access (2024) Vol. 12, pp. 107631-107644
Open Access
A classification and recognition model for multiple fruit tree leaf diseases
Bowei Du, Wei Li, Xue Qin
Environmental Research Communications (2024) Vol. 6, Iss. 10, pp. 105034-105034
Open Access
The factors affecting aerobics athletes’ performance using artificial intelligence neural networks with sports nutrition assistance
Zhiyuan Duan, Nan Ge, Yuanhui Kong
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
UAV-Based Deep Learning with Tiny-YOLOv9 for Revolutionizing Paddy Rice Disease Detection
Jayakrishnan Anandakrishnan, Arun Kumar Sangaiah, Nguyen Khanh Son, et al.
(2024), pp. 16-21
Closed Access
A clinical pilot trial of an artificial intelligence-driven smart phone application of bowel preparation for colonoscopy: a randomized clinical trial
Zhong Huang, Cong Hou, Zhong Huang, et al.
Scandinavian Journal of Gastroenterology (2024), pp. 1-6
Closed Access
A Review on the Application of Deep Learning Methods in Detection and Identification of Rice Diseases and Pests
Xiaozhong Yu, Jinhua Zheng
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 78, Iss. 1, pp. 197-225
Open Access
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