Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

An improved YOLOv5-based vegetable disease detection method
Jiawei Li, Yongliang Qiao, Sha Liu, et al.
Computers and Electronics in Agriculture (2022) Vol. 202, pp. 107345-107345
Closed Access | Times Cited: 85

Showing 1-25 of 85 citing articles:

A review of core agricultural robot technologies for crop productions
Qinghua Yang, Xiaoqiang Du, Zhiheng Wang, et al.
Computers and Electronics in Agriculture (2023) Vol. 206, pp. 107701-107701
Closed Access | Times Cited: 49
DFN-PSAN: Multi-level deep information feature fusion extraction network for interpretable plant disease classification
Guowei Dai, Zhimin Tian, Jingchao Fan, et al.
Computers and Electronics in Agriculture (2023) Vol. 216, pp. 108481-108481
Closed Access | Times Cited: 42
A mobile-based system for maize plant leaf disease detection and classification using deep learning
Faiza Khan, Noureen Zafar, Muhammad Naveed Tahir, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 38
YOLOV5-CBAM-C3TR: an optimized model based on transformer module and attention mechanism for apple leaf disease detection
Meng Lv, Wen‐Hao Su
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 13
YOLOv10 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once Series
Ranjan Sapkota, Rizwan Qureshi, Marco Flores-Calero, et al.
(2024)
Open Access | Times Cited: 10
Nonlinear and threshold effects of the built environment, road vehicles and air pollution on urban vitality
Quang Cuong Doan, Jun Ma, Shuting Chen, et al.
Landscape and Urban Planning (2024) Vol. 253, pp. 105204-105204
Closed Access | Times Cited: 9
Development of a longevity prediction model for cut roses using hyperspectral imaging and a convolutional neural network
Yong-Tae Kim, Suong Tuyet Thi Ha, Byung-Chun In
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 8
Research on Polygon Pest-Infected Leaf Region Detection Based on YOLOv8
Ruixue Zhu, Fengqi Hao, Dexin Ma
Agriculture (2023) Vol. 13, Iss. 12, pp. 2253-2253
Open Access | Times Cited: 18
Real-Time Detection of Apple Leaf Diseases in Natural Scenes Based on YOLOv5
Huishan Li, Lei Shi, Siwen Fang, et al.
Agriculture (2023) Vol. 13, Iss. 4, pp. 878-878
Open Access | Times Cited: 17
Leveraging YOLOv7 for Plant Disease Detection
Shreya Vaidya, Sameer Kavthekar, Amit Joshi
(2023), pp. 1-6
Closed Access | Times Cited: 16
PL-DINO: An Improved Transformer-Based Method for Plant Leaf Disease Detection
Wei Li, Lizhou Zhu, Jun Liu
Agriculture (2024) Vol. 14, Iss. 5, pp. 691-691
Open Access | Times Cited: 7
Integration of Remote Sensing and Machine Learning for Precision Agriculture: A Comprehensive Perspective on Applications
Jun Wang, Yanlong Wang, Guang Li, et al.
Agronomy (2024) Vol. 14, Iss. 9, pp. 1975-1975
Open Access | Times Cited: 7
Plant Disease Detection and Classification Using Deep Learning Methods: A Comparison Study
Pei-Wern Chin, Kok-Why Ng, Palanichamy Naveen
Journal of Informatics and Web Engineering (2024) Vol. 3, Iss. 1, pp. 155-168
Open Access | Times Cited: 6
Classification of Plant Leaf Disease Recognition Based on Self-Supervised Learning
Yuzhi Wang, Yunzhen Yin, Yaoyu Li, et al.
Agronomy (2024) Vol. 14, Iss. 3, pp. 500-500
Open Access | Times Cited: 6
Detection of Apple Leaf Gray Spot Disease Based on Improved YOLOv8 Network
Sihang Zhou, Wenjie Yin, Yinghao He, et al.
Mathematics (2025) Vol. 13, Iss. 5, pp. 840-840
Open Access
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: 15
Improved YOLOX-Tiny network for detection of tobacco brown spot disease
Jianwu Lin, Dianzhi Yu, Renyong Pan, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 14
Smart Logistics Warehouse Moving-Object Tracking Based on YOLOv5 and DeepSORT
Tingbo Xie, Xifan Yao
Applied Sciences (2023) Vol. 13, Iss. 17, pp. 9895-9895
Open Access | Times Cited: 13
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: 12
A novel lightweight model HGCA-YOLO: Application to recognition of invisible spears for white asparagus robotic harvesting
Ping Zhang, Nianzu Dai, Xuemei Liu, et al.
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108852-108852
Closed Access | Times Cited: 4
Performance Evaluation of YOLO Models in Plant Disease Detection
Usman Ali, Maizatul Akmar Ismail, Riyaz Ahamed Ariyaluran Habeeb, et al.
Journal of Informatics and Web Engineering (2024) Vol. 3, Iss. 2, pp. 199-211
Open Access | Times Cited: 4
SerpensGate-YOLOv8: an enhanced YOLOv8 model for accurate plant disease detection
Yujie Miao, Meng Wei, Xiaoyu Zhou
Frontiers in Plant Science (2025) Vol. 15
Open Access
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
Improved lightweight YOLOv5n-based network for bruise detection and length classification of asparagus
Xia Chuang, Qiang Chen, Yinyan Shi, et al.
Computers and Electronics in Agriculture (2025) Vol. 233, pp. 110194-110194
Closed Access
An Efficient Model for Leafy Vegetable Disease Detection and Segmentation Based on Few-Shot Learning Framework and Prototype Attention Mechanism
Tong Hai, Yuxin Shao, Xiyan Zhang, et al.
Plants (2025) Vol. 14, Iss. 5, pp. 760-760
Open Access
Page 1 - Next Page

Scroll to top