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:

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

Showing 1-25 of 62 citing articles:

Current state and future perspectives of commercial strawberry production: A review
Nelda R. Hernández-Martínez, Caroline Blanchard, Daniel K. Wells, et al.
Scientia Horticulturae (2023) Vol. 312, pp. 111893-111893
Open Access | Times Cited: 87

Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications: A Survey
Md. Najmul Mowla, Neazmul Mowla, A. F. M. Shahen Shah, et al.
IEEE Access (2023) Vol. 11, pp. 145813-145852
Open Access | Times Cited: 55

Intelligent detection of Multi-Class pitaya fruits in target picking row based on WGB-YOLO network
Yulong Nan, Huichun Zhang, Yong Zeng, et al.
Computers and Electronics in Agriculture (2023) Vol. 208, pp. 107780-107780
Closed Access | Times Cited: 49

Semantic segmentation of microbial alterations based on SegFormer
Wael M. Elmessery, Danil V. Maklakov, Tamer M. El‐Messery, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 21

A Comprehensive Review on Deep Learning Assisted Computer Vision Techniques for Smart Greenhouse Agriculture
Jalal Uddin Md Akbar, Syafiq Fauzi Kamarulzaman, Abu Jafar Md Muzahid, et al.
IEEE Access (2024) Vol. 12, pp. 4485-4522
Open Access | Times Cited: 17

DM-YOLO: improved YOLOv9 model for tomato leaf disease detection
Abudukelimu Abulizi, Junli Ye, Halidanmu Abudukelimu, et al.
Frontiers in Plant Science (2025) Vol. 15
Open Access | Times Cited: 1

TIA-YOLOv5: An improved YOLOv5 network for real-time detection of crop and weed in the field
Aichen Wang, Peng Tao, Huadong Cao, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 39

YOLOv8-CML: a lightweight target detection method for color-changing melon ripening in intelligent agriculture
Guojun Chen, Yongjie Hou, Tao Cui, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10

Tomato leaf disease detection based on attention mechanism and multi-scale feature fusion
Yong Wang, P. Zhang, Shuang Tian
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 9

Strawberry disease detection using transfer learning of deep convolutional neural networks
Sijan Karki, Jayanta Kumar Basak, Niraj Tamrakar, et al.
Scientia Horticulturae (2024) Vol. 332, pp. 113241-113241
Closed Access | Times Cited: 7

AgriPest-YOLO: A rapid light-trap agricultural pest detection method based on deep learning
Wei Zhang, He Huang, Youqiang Sun, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 27

Semantic segmentation for tooth cracks using improved DeepLabv3+ model
Zewen Xie, Qilin Lu, Juncheng Guo, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e25892-e25892
Open Access | Times Cited: 5

Lightweight cotton diseases real-time detection model for resource-constrained devices in natural environments
Pan Pan, Mingyue Shao, Peitong He, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 5

Petal damage and bent flower detection method of rose cut flowers based on computer vision
Fengnong Chen, You Li, Hong‐Wei Sun, et al.
Scientia Horticulturae (2025) Vol. 340, pp. 113927-113927
Open Access

DWTFormer: a frequency-spatial features fusion model for tomato leaf disease identification
Yuyun Xiang, Shuang Gao, Xiaopeng Li, et al.
Plant Methods (2025) Vol. 21, Iss. 1
Open Access

MFD-YOLO: A fast and lightweight model for strawberry growth state detection
Haoyan Yang, Lina Yang, Thomas Wu, et al.
Computers and Electronics in Agriculture (2025) Vol. 234, pp. 110177-110177
Closed Access

Artificial Intelligence-based Detection of Fava Bean Rust Disease in Agricultural Settings: An Innovative Approach
Hicham Slimani, Jamal El Mhamdi, Abdelilah Jilbab
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 6
Open Access | Times Cited: 14

CEMLB-YOLO: Efficient Detection Model of Maize Leaf Blight in Complex Field Environments
Shengjie Leng, Yasenjiang Musha, Yulin Yang, et al.
Applied Sciences (2023) Vol. 13, Iss. 16, pp. 9285-9285
Open Access | Times Cited: 13

A Transformer-Based Detection Network for Precision Cistanche Pest and Disease Management in Smart Agriculture
Hang Zhang, Zi-Xing Gong, Chen Hu, et al.
Plants (2025) Vol. 14, Iss. 4, pp. 499-499
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

Mechanism of N-Acetyl-D-alloisoleucine in Controlling Strawberry Black Root Rot
Jialu Xu, Jianxiu Hao, Mingmin Zhao, et al.
Plants (2025) Vol. 14, Iss. 5, pp. 829-829
Open Access

Strawberry Diseases Detection Using Adaptive Deep Residual Network
Ramarao Venkatesh, K. Vijayalakshmi, M. Geetha, et al.
Journal of Phytopathology (2025) Vol. 173, Iss. 2
Closed Access

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