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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:

A multi-scale cucumber disease detection method in natural scenes based on YOLOv5
Shufei Li, Kaiyu Li, Yan Qiao, et al.
Computers and Electronics in Agriculture (2022) Vol. 202, pp. 107363-107363
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Deformable convolution and coordinate attention for fast cattle detection
Wenjie Yang, Jiachun Wu, Jinlai Zhang, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 108006-108006
Closed Access | Times Cited: 66
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: 55
Vegetable disease detection using an improved YOLOv8 algorithm in the greenhouse plant environment
Xuewei Wang, Jun Liu
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 25
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: 2
Maize Leaf Disease Identification Based on YOLOv5n Algorithm Incorporating Attention Mechanism
Li Ma, Qiwen Yu, Helong Yu, et al.
Agronomy (2023) Vol. 13, Iss. 2, pp. 521-521
Open Access | Times Cited: 32
Detection of wheat scab fungus spores utilizing the Yolov5-ECA-ASFF network structure
Dongyan Zhang, Wenhao Zhang, Tao Cheng, et al.
Computers and Electronics in Agriculture (2023) Vol. 210, pp. 107953-107953
Closed Access | Times Cited: 32
Detecting Severity Levels of Cucumber Leaf Spot Disease using ResNext Deep Learning Model: A Digital Image Analysis Approach
Ankit Bansal, Rishabh Sharma, Vikrant Sharma, et al.
(2023) Vol. 24, pp. 1-6
Closed Access | Times Cited: 26
MCDCNet: Multi-scale constrained deformable convolution network for apple leaf disease detection
Bin Liu, Xulei Huang, Leiming Sun, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109028-109028
Closed Access | Times Cited: 13
YOLOv8-RMDA: Lightweight YOLOv8 Network for Early Detection of Small Target Diseases in Tea
Rong Ye, Guoqi Shao, Yun He, et al.
Sensors (2024) Vol. 24, Iss. 9, pp. 2896-2896
Open Access | Times Cited: 12
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: 11
Deep-learning framework for optimal selection of soil sampling sites
Tan-Hanh Pham, Praneel Acharya, Sravanthi Bachina, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108650-108650
Open Access | Times Cited: 9
EBR-YOLO: A Lightweight Detection Method for Non-Motorized Vehicles Based on Drone Aerial Images
Meijia Zhou, Xuefen Wan, Yi Yang, et al.
Sensors (2025) Vol. 25, Iss. 1, pp. 196-196
Open Access | Times Cited: 1
NLDETR-YOLO: A decision-making method for apple thinning period
Xiangyu Wang, Tinggao Yang, Zhenyu Chen, et al.
Scientia Horticulturae (2025) Vol. 341, pp. 113991-113991
Open Access | Times Cited: 1
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 | Times Cited: 1
UAV small target detection algorithm based on an improved YOLOv5s model
Shihai Cao, Ting Wang, Tao Li, et al.
Journal of Visual Communication and Image Representation (2023) Vol. 97, pp. 103936-103936
Closed Access | Times Cited: 22
YOLOv7-Plum: Advancing Plum Fruit Detection in Natural Environments with Deep Learning
Rong Tang, Yujie Lei, Beisiqi Luo, et al.
Plants (2023) Vol. 12, Iss. 15, pp. 2883-2883
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
SoyaTrans: A novel transformer model for fine-grained visual classification of soybean leaf disease diagnosis
Vivek Sharma, Ashish Kumar Tripathi, Himanshu Mittal, et al.
Expert Systems with Applications (2024), pp. 125385-125385
Closed Access | Times Cited: 7
A Lightweight Algorithm for Recognizing Pear Leaf Diseases in Natural Scenes Based on an Improved YOLOv5 Deep Learning Model
Jianian Li, Zhengquan Liu, Dejin Wang
Agriculture (2024) Vol. 14, Iss. 2, pp. 273-273
Open Access | Times Cited: 6
Recent advances in Transformer technology for agriculture: A comprehensive survey
Weijun Xie, M G Zhao, Ying Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109412-109412
Closed Access | Times Cited: 5
An improved YOLOv5s model for effectively predict sugarcane seed replenishment positions verified by a field re-seeding robot
Tao Wu, Qixin Zhang, Jiacheng Wu, et al.
Computers and Electronics in Agriculture (2023) Vol. 214, pp. 108280-108280
Closed Access | Times Cited: 12
Application of Improved Lightweight Network and Choquet Fuzzy Ensemble Technology for Soybean Disease Identification
Yan Hang, Xiangyan Meng, Qiufeng Wu
IEEE Access (2024) Vol. 12, pp. 25146-25163
Open Access | Times Cited: 4
YOLOv5s-BiPCNeXt, a Lightweight Model for Detecting Disease in Eggplant Leaves
Zhedong Xie, Chao Li, Zhuang Yang, et al.
Plants (2024) Vol. 13, Iss. 16, pp. 2303-2303
Open Access | Times Cited: 4
Improved Tomato Leaf Disease Recognition Based on the YOLOv5m with Various Soft Attention Module Combinations
Yong-Suk Lee, Maheshkumar Prakash Patil, Jeong Gyu Kim, et al.
Agriculture (2024) Vol. 14, Iss. 9, pp. 1472-1472
Open Access | Times Cited: 4
Leveraging Convolutional Neural Networks for Disease Detection in Vegetables: A Comprehensive Review
Muhammad Mahmood ur Rehman, Jizhan Liu, Aneela Nijabat, et al.
Agronomy (2024) Vol. 14, Iss. 10, pp. 2231-2231
Open Access | Times Cited: 4
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