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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:

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

Showing 26-50 of 46 citing articles:

A transformer-based image detection method for grassland situation of alpine meadows
Yuzhuo Zhang, Tianyi Wang, Yong You, et al.
Computers and Electronics in Agriculture (2023) Vol. 210, pp. 107919-107919
Closed Access | Times Cited: 6
Auto-adjustment label assignment-based convolutional neural network for oriented wheat diseases detection
H. Liu, Hongbo Chen, Jianming Du, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109029-109029
Closed Access | Times Cited: 1
WITHDRAWN: AW-YOLOv8：A novel deep learning model for detecting insect pests in cotton growth systems
Xi Chen
Heliyon (2024), pp. e32405-e32405
Open Access | Times Cited: 1
Efficient online detection device and method for cottonseed breakage based on Light-YOLO
Hongzhou Zhang, Qingxu Li, Zhenwei Luo
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 1
Residual swin transformer for classifying the types of cotton pests in complex background
Ting Zhang, Jikui Zhu, Fengkui Zhang, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 1
A Lightweight Cotton Verticillium Wilt Hazard Level Real-Time Assessment System Based on an Improved YOLOv10n Model
Juan Liao, Xinying He, Yexiong Liang, et al.
Agriculture (2024) Vol. 14, Iss. 9, pp. 1617-1617
Open Access | Times Cited: 1
Tomato yellow leaf curl virus detection based on cross-domain shared attention and enhanced BiFPN
Henghui Mo, Linjing Wei
Ecological Informatics (2024) Vol. 85, pp. 102912-102912
Open Access | Times Cited: 1
Design and Research of an Online Diagnosis Platform for Tomato Seedling Facilities Production Diseases
Xin Jin, Xiaowu Zhu, Jiangtao Ji, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Thripidae pest species community identification and population genetic diversity analyses of 2 dominant thrips in cotton fields of China
Yue Gao, Junyu Luo, Li Wang, et al.
Journal of Economic Entomology (2024) Vol. 117, Iss. 3, pp. 1113-1129
Closed Access
TSAF‐Net: a rotated two‐stage Cnaphalocrocis medinalis damage detection method based on anchor‐free arbitrary‐oriented proposal network
Tianjiao Chen, Hongbo Chen, Jianming Du, et al.
Pest Management Science (2024) Vol. 80, Iss. 9, pp. 4604-4616
Closed Access
Toward the design of persuasive systems for a healthy workplace: a real-time posture detection
Grace Ataguba, Rita Orji
Frontiers in Big Data (2024) Vol. 7
Open Access
SDD: Strawberry Disease Detection Framework Based on Computer Vision Neural Networks
Xiangyuan Zhu, Jianneng Fan, Xiaobing Yan, et al.
(2024), pp. 1077-1082
Closed Access
Application of Hyperspectral Imaging and Multi-Module Joint Hierarchical Residual Network in Seed Cotton Foreign Fiber Recognition
Yunlong Zhang, Lai-gang Zhang, Guo Zhi-jun, et al.
Sensors (2024) Vol. 24, Iss. 18, pp. 5892-5892
Open Access
Deep Learning for Pink Bollworm Detection and Management in Organic Cotton Farming Practices
Sushant R Bhalerao, Francisco Rovira-Más, Indra Mani, et al.
Smart innovation, systems and technologies (2024), pp. 47-60
Closed Access
Research on litchi image detection in orchard using UAV based on improved YOLOv5
Hongxing Peng, Zhenxing Li, Xiangjun Zou, et al.
Expert Systems with Applications (2024), pp. 125828-125828
Closed Access
A point-based method for identification and counting of tiny object insects in cotton fields
Min Bai, Tao Chen, Jia Yuan, et al.
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109648-109648
Closed Access
Deep Learning-Based Accurate Detection of Insects and Damage in Cruciferous Crops Using YOLOv5
Sourav Chakrabarty, P. R. Shashank, Chandan Kumar Deb, et al.
Smart Agricultural Technology (2024), pp. 100663-100663
Open Access
YOLO-IP
Rashmiranjan Nayak, Prashant Dwivedi, Umesh Chandra Pati
Practice, progress, and proficiency in sustainability (2023), pp. 133-158
Closed Access | Times Cited: 1
Deep Learning to support the recognition of pests and diseases in Yungay potato crops in the province of Cutervo, Angurra hamlet, Perú
Raúl Zegarra, Elis Dina Cabrera Herrera, Katherine Susan Llanos Chacaltana
(2023)
Open Access
C-YOLOX: Improved YOLOX Model for Tomato Diseased Leaves Recognition
Chang Gao, Leian Liu
(2023)
Closed Access
Fast Crop Pest Detection Using Lightweight Feature Extraction and Knowledge Distillation
Ze Yang, Xianliang Jiang, Guang Jin, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2023), pp. 2277-2282
Closed Access
Application of an Improved YOLOv7 Model in Disease and Pest Detection for Lychee Trees
Cuihua Ma, Zhenwan Li, Haixia Long
(2023), pp. 138-146
Closed Access
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