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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:

PG-YOLO: An efficient detection algorithm for pomegranate before fruit thinning
Jiuxin Wang, Man Liu, Yurong Du, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108700-108700
Closed Access | Times Cited: 13

Showing 13 citing articles:

The Application of Deep Learning in the Whole Potato Production Chain: A Comprehensive Review
Rui-Feng Wang, Wen‐Hao Su
Agriculture (2024) Vol. 14, Iss. 8, pp. 1225-1225
Open Access | Times Cited: 13
Comprehensive Performance Evaluation of YOLO11, YOLOv10, YOLOv9 and YOLOv8 on Detecting and Counting Fruitlet in Complex Orchard Environments
Ranjan Sapkota, Zhichao Meng, Martin Churuvija, et al.
(2024)
Open Access | Times Cited: 8
YOLOv10-pose and YOLOv9-pose: Real-time strawberry stalk pose detection models
Zhichao Meng, Xiaoqiang Du, Ranjan Sapkota, et al.
Computers in Industry (2024) Vol. 165, pp. 104231-104231
Closed Access | Times Cited: 6
A deep learning-based method for silkworm egg counting
Hongkang Shi, Xiao Chen, Minghui Zhu, et al.
Journal of Asia-Pacific Entomology (2025), pp. 102375-102375
Closed Access
A lightweight method for detecting turned white belly fish in ponds using unmanned aerial vehicle imagery
Mingrui Kong, Yiran Liu, Beibei Li, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110111-110111
Closed Access
Real-time detection method of intelligent classification and defect of transmission line insulator based on LightWeight-YOLOv8n network
Gary Tan, Yongsheng Ye, Jiawei Chu, et al.
Journal of Real-Time Image Processing (2025) Vol. 22, Iss. 2
Closed Access
GS-YOLO: A Lightweight Identification Model for Precision Parts
Haojie Zhu, Lei Dong, Hanpeng Ren, et al.
Symmetry (2025) Vol. 17, Iss. 2, pp. 268-268
Open Access
Detection of young fruit for “Yuluxiang” pears in natural environments using YOLO-CiHFC
Haixia Sun, Rui Ren, Shujuan Zhang, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 5
Closed Access
Deep convolutional networks based on lightweight YOLOv8 to detect and estimate peanut losses from images in post-harvesting environments
Armando Lopes de Brito Filho, Franciele Morlin Carneiro, Vinicius dos Santos Carreira, et al.
Computers and Electronics in Agriculture (2025) Vol. 234, pp. 110282-110282
Closed Access
Fast and Accurate Detection of Forty Types of Fruits and Vegetables: Dataset and Method
Xiaosheng Bu, Yongfeng Wu, Hao Lv, et al.
Agriculture (2025) Vol. 15, Iss. 7, pp. 760-760
Open Access
A Multi-Scale Object Detection Model Based on Differentiable Architecture Search
Yu Xue, P. F. Luo, Yiyu Tan, et al.
(2025)
Closed Access
Lightweight algorithm based on you only look once version 5 for multiple class defect detection on wind turbine blade surfaces
Yuhang Liu, Yuqiao Zheng, Tai Wei, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109422-109422
Closed Access | Times Cited: 2
Bi-YOLO: A novel object detection network and dataset for components of China heritage buildings
Liangyu Du, Yansong Wang
Journal of Building Engineering (2024), pp. 110817-110817
Closed Access | Times Cited: 1
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