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:

DBA_SSD: A Novel End-to-End Object Detection Algorithm Applied to Plant Disease Detection
Jun Wang, Liya Yu, Jing Yang, et al.
Information (2021) Vol. 12, Iss. 11, pp. 474-474
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Trends in vision-based machine learning techniques for plant disease identification: A systematic review
Poornima Singh Thakur, Pritee Khanna, Tanuja Sheorey, et al.
Expert Systems with Applications (2022) Vol. 208, pp. 118117-118117
Closed Access | Times Cited: 125
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
A Systematic Literature Review on Plant Disease Detection: Motivations, Classification Techniques, Datasets, Challenges, and Future Trends
Wasswa Shafik, Ali Tufail, Abdallah Namoun, et al.
IEEE Access (2023) Vol. 11, pp. 59174-59203
Open Access | Times Cited: 54
Detection and identification of plant leaf diseases using YOLOv4
Eman Abdullah Aldakheel, Mohammed Zakariah, Amira H. Alabdalall
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 15
Multiple disease detection method for greenhouse-cultivated strawberry based on multiscale feature fusion Faster R_CNN
Shengyi Zhao, Jizhan Liu, Shuo Wu
Computers and Electronics in Agriculture (2022) Vol. 199, pp. 107176-107176
Closed Access | Times Cited: 62
Machine Learning and Deep Learning for Plant Disease Classification and Detection
Vasileios Balafas, Emmanouil Karantoumanis, Malamati Louta, et al.
IEEE Access (2023) Vol. 11, pp. 114352-114377
Open Access | Times Cited: 28
Plant Disease Detection and Classification: A Systematic Literature Review
Ramanjot, Usha Mittal, Ankita Wadhawan, et al.
Sensors (2023) Vol. 23, Iss. 10, pp. 4769-4769
Open Access | Times Cited: 26
A high-precision jujube disease spot detection based on SSD during the sorting process
Zhi-Ben Yin, Fuyong Liu, Hui Geng, et al.
PLoS ONE (2024) Vol. 19, Iss. 1, pp. e0296314-e0296314
Open Access | Times Cited: 6
Leveraging YOLO deep learning models to enhance plant disease identification
Yousef Alhwaiti, Muhammad Jaleed Khan, Muhammad Asim, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Deep learning for recognition and detection of plant diseases and pests
Xiang Yue, Kai Qi, Xinyi Na, et al.
Neural Computing and Applications (2025)
Closed Access
Automatic Detection and Classification of Dead Nematode-Infested Pine Wood in Stages Based on YOLO v4 and GoogLeNet
Xianhao Zhu, Ruirui Wang, Wei Shi, et al.
Forests (2023) Vol. 14, Iss. 3, pp. 601-601
Open Access | Times Cited: 13
A Multi-objective Apple Leaf Disease Detection Algorithm Based on Improved TPH-YOLOV5
Fengmei Li, Yuhui Zheng, Song Liu, et al.
Deleted Journal (2024) Vol. 66, Iss. 2, pp. 399-415
Closed Access | Times Cited: 4
Pine wilt disease detection algorithm based on improved YOLOv5
Zengjie Du, Sifei Wu, Qingqing Wen, et al.
Frontiers in Plant Science (2024) Vol. 15
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
Multi-granularity alignment for crop diseases detection
Guinan Guo, Fang Zhou, Qingyang Wu, et al.
Plant Phenomics (2025), pp. 100001-100001
Open Access
PDD-Net: Plant Disease Diagnoses Using Multilevel and Multiscale Convolutional Neural Network Features
Hamed A. Alghamdi, Turki Turki
Agriculture (2023) Vol. 13, Iss. 5, pp. 1072-1072
Open Access | Times Cited: 10
An Improved Detection Method for Crop & Fruit Leaf Disease under Real-Field Conditions
Serosh Karim Noon, Muhammad Amjad, Muhammad Ali Qureshi, et al.
AgriEngineering (2024) Vol. 6, Iss. 1, pp. 344-360
Open Access | Times Cited: 3
Online diagnosis platform for tomato seedling diseases in greenhouse production
Xin Jin, Xiaowu Zhu, Jiangtao Ji, et al.
International journal of agricultural and biological engineering (2024) Vol. 17, Iss. 1, pp. 80-89
Open Access | Times Cited: 3
Using Deep Learning Model to Identify Iron Chlorosis in Plants
Munir Majdalawieh, Shafaq Khan, Md. Tariqul Islam
IEEE Access (2023) Vol. 11, pp. 46949-46955
Open Access | Times Cited: 8
Tomato disease object detection method combining prior knowledge attention mechanism and multiscale features
Liu Jun, Xuewei Wang
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 8
An Improved Plant Disease Detection Method Based on YOLOv5
Hongxia Cai, JiaYing Jiang
(2023), pp. 237-240
Closed Access | Times Cited: 7
An analysis to investigate plant disease identification based on machine learning techniques
Sangeeta Duhan, Preeti Gulia, Nasib Singh Gill, et al.
Expert Systems (2024) Vol. 41, Iss. 8
Closed Access | Times Cited: 2
Research on Artificial Intelligence based Fruit Disease Identification System (AI-FDIS) with the Internet of Things (IoT)
S.K. Kabilesh, D. Mohanapriya, P Suseendhar, et al.
Journal of Intelligent & Fuzzy Systems (2023) Vol. 44, Iss. 4, pp. 6593-6608
Closed Access | Times Cited: 6
Detection method for tea leaf blight in natural scene images based on lightweight and efficient LC3Net model
Yongcheng Jiang, Lu Libing, Mingzhu Wan, et al.
Journal of Plant Diseases and Protection (2023) Vol. 131, Iss. 1, pp. 209-225
Closed Access | Times Cited: 6
High-Precision Detection Algorithm for Metal Workpiece Defects Based on Deep Learning
Xiujin Xu, Gengming Zhang, Wenhe Zheng, et al.
Machines (2023) Vol. 11, Iss. 8, pp. 834-834
Open Access | Times Cited: 5
Page 1 - Next Page

Scroll to top