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:

Lightweight Multiscale CNN Model for Wheat Disease Detection
Xin Fang, Zhen Tong, Zhihui Li
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5801-5801
Open Access | Times Cited: 17

Showing 17 citing articles:

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: 45

Integrated deep learning and ensemble learning model for deep feature-based wheat disease detection
Hatice Çatal Reis, Veysel Turk
Microchemical Journal (2023) Vol. 197, pp. 109790-109790
Closed Access | Times Cited: 15

A robust and light-weight transfer learning-based architecture for accurate detection of leaf diseases across multiple plants using less amount of images
Md. Khairul Alam Mazumder, M. F. Mridha, Sultan Alfarhood, et al.
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 4

Segmentation of Wheat Rust Disease Using Co-Salient Feature Extraction
Hirra Anwar, Muhammad Haseeb, Muhammad Mohsin Ghaffar, et al.
AgriEngineering (2025) Vol. 7, Iss. 2, pp. 23-23
Open Access

PlantVitGnet: A Hybrid Model of Vision Transformer and GoogLeNet for Plant Disease Identification
P. C. Gupta, Rakesh Singh Jadon
Journal of Phytopathology (2025) Vol. 173, Iss. 2
Closed Access

Detection of Wheat Yellow Rust Disease Severity Based on Improved GhostNetV2
Zhihui Li, Xin Fang, Zhen Tong, et al.
Applied Sciences (2023) Vol. 13, Iss. 17, pp. 9987-9987
Open Access | Times Cited: 9

Improving Wheat Leaf Disease Classification: Evaluating Augmentation Strategies and CNN-Based Models With Limited Dataset
Syed Taha Yeasin Ramadan, Tanjim Sakib, Fahmid Al Farid, et al.
IEEE Access (2024) Vol. 12, pp. 69853-69874
Open Access | Times Cited: 3

YOLOv8s-CGF: a lightweight model for wheat ear Fusarium head blight detection
Chengkai Yang, Xiaoyun Sun, Jian Wang, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1948-e1948
Open Access | Times Cited: 2

IMPROVED YOLOv8-BASED AUTOMATED DETECTION OF WHEAT LEAF DISEASES
Na Ma, Yanwen LI, Miao Xu, et al.
INMATEH Agricultural Engineering (2023), pp. 499-510
Open Access | Times Cited: 5

Enhancing Wheat Disease Classification: A Hybrid Approach Combining CNN and Random Forest
Varun Kumar, Kanwarpartap Singh Gill, Rahul Chauhan, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 1

Identification and Classification of Major Wheat Diseases Insights from Convolutional Neural Network Analysis
Gautam Rana, Rahul Singh, Deepak Upadhyay, et al.
(2024), pp. 1-6
Closed Access

Three-Dimensional Convolutional Neural Network for Wheat Rust Disease Classification
N Jagadeeshan, Y. Nagendar, K. S. Swarnalatha, et al.
(2024), pp. 1-4
Closed Access

Implementing Real-Time Image Processing for Radish Disease Detection Using Hybrid Attention Mechanisms
Mengxue Ji, Zizhe Zhou, Xinyue Wang, et al.
Plants (2024) Vol. 13, Iss. 21, pp. 3001-3001
Open Access

Wheat disease recognition method based on the SC-ConvNeXt network model
Ting Dong, Xiao Ma, Biao Huang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

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