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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:

Real-time detection of kiwifruit flower and bud simultaneously in orchard using YOLOv4 for robotic pollination
Guo Li, Rui Suo, Guanao Zhao, et al.
Computers and Electronics in Agriculture (2021) Vol. 193, pp. 106641-106641
Closed Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

Real-time growth stage detection model for high degree of occultation using DenseNet-fused YOLOv4
Arunabha M. Roy, Jayabrata Bhaduri
Computers and Electronics in Agriculture (2022) Vol. 193, pp. 106694-106694
Closed Access | Times Cited: 133
Detection of Camellia oleifera Fruit in Complex Scenes by Using YOLOv7 and Data Augmentation
Delin Wu, Shan Jiang, Enlong Zhao, et al.
Applied Sciences (2022) Vol. 12, Iss. 22, pp. 11318-11318
Open Access | Times Cited: 128
Fruit yield prediction and estimation in orchards: A state-of-the-art comprehensive review for both direct and indirect methods
Leilei He, Wentai Fang, Guanao Zhao, et al.
Computers and Electronics in Agriculture (2022) Vol. 195, pp. 106812-106812
Closed Access | Times Cited: 104
A novel apple fruit detection and counting methodology based on deep learning and trunk tracking in modern orchard
Fangfang Gao, Wentai Fang, Xiaoming Sun, et al.
Computers and Electronics in Agriculture (2022) Vol. 197, pp. 107000-107000
Closed Access | Times Cited: 98
Using lightweight deep learning algorithm for real-time detection of apple flowers in natural environments
Yuying Shang, Xingshi Xu, Yitao Jiao, et al.
Computers and Electronics in Agriculture (2023) Vol. 207, pp. 107765-107765
Closed Access | Times Cited: 60
UAV remote sensing detection of tea leaf blight based on DDMA-YOLO
Wenxia Bao, Z. Q. Zhu, Gensheng Hu, et al.
Computers and Electronics in Agriculture (2023) Vol. 205, pp. 107637-107637
Closed Access | Times Cited: 59
Intelligent detection for sustainable agriculture: A review of IoT-based embedded systems, cloud platforms, DL, and ML for plant disease detection
Abdennabi Morchid, Marouane Marhoun, Rachid El Alami, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 28, pp. 70961-71000
Closed Access | Times Cited: 18
Coverage path planning for kiwifruit picking robots based on deep reinforcement learning
Yinchu Wang, Zhi He, Dandan Cao, et al.
Computers and Electronics in Agriculture (2022) Vol. 205, pp. 107593-107593
Closed Access | Times Cited: 54
Multi-class detection of kiwifruit flower and its distribution identification in orchard based on YOLOv5l and Euclidean distance
Li Guo, Longsheng Fu, Changqing Gao, et al.
Computers and Electronics in Agriculture (2022) Vol. 201, pp. 107342-107342
Closed Access | Times Cited: 41
Apple inflorescence recognition of phenology stage in complex background based on improved YOLOv7
Jincheng Chen, Benxue Ma, Chao Ji, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 108048-108048
Closed Access | Times Cited: 27
Detection of Green Asparagus in Complex Environments Based on the Improved YOLOv5 Algorithm
Weiwei Hong, Zenghong Ma, Bingliang Ye, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1562-1562
Open Access | Times Cited: 26
A novel pollination robot for kiwifruit flower based on preferential flowers selection and precisely target
Changqing Gao, Leilei He, Wentai Fang, et al.
Computers and Electronics in Agriculture (2023) Vol. 207, pp. 107762-107762
Closed Access | Times Cited: 24
Multi-scale feature adaptive fusion model for real-time detection in complex citrus orchard environments
Yunfeng Zhang, Li Li, Chang-Pin Chun, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108836-108836
Closed Access | Times Cited: 10
FPG-YOLO: A detection method for pollenable stamen in 'Yuluxiang' pear under non-structural environments
Rui Ren, Haixia Sun, Shujuan Zhang, et al.
Scientia Horticulturae (2024) Vol. 328, pp. 112941-112941
Closed Access | Times Cited: 9
Enhancing the Performance of YOLOv9t Through a Knowledge Distillation Approach for Real-Time Detection of Bloomed Damask Roses in the Field
Farhad Fatehi, Hossein Bagherpour, Jafar Amiri Parian
Smart Agricultural Technology (2025) Vol. 10, pp. 100794-100794
Open Access | Times Cited: 1
YO-AFD: an improved YOLOv8-based deep learning approach for rapid and accurate apple flower detection
Dandan Wang, Huaibo Song, Bo Wang
Frontiers in Plant Science (2025) Vol. 16
Open Access | Times Cited: 1
A Lightweight Model for Wheat Ear Fusarium Head Blight Detection Based on RGB Images
Qingqing Hong, Ling Jiang, Zhenghua Zhang, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3481-3481
Open Access | Times Cited: 29
MTYOLOX: Multi-transformers-enabled YOLO for tree-level apple inflorescences detection and density mapping
Xue Xia, Xiujuan Chai, Zhuang Li, et al.
Computers and Electronics in Agriculture (2023) Vol. 209, pp. 107803-107803
Closed Access | Times Cited: 20
YOLO-Based Model for Automatic Detection of Broiler Pathological Phenomena through Visual and Thermal Images in Intensive Poultry Houses
Wael M. Elmessery, Joaquín Gutiérrez, Gomaa Galal Abd El-wahhab, et al.
Agriculture (2023) Vol. 13, Iss. 8, pp. 1527-1527
Open Access | Times Cited: 20
AI-Assisted Detection of Interproximal, Occlusal, and Secondary Caries on Bite-Wing Radiographs: A Single-Shot Deep Learning Approach
Rabia Karakuş, Muhammet Üsame Özıç, Melek Taşsöker
Deleted Journal (2024)
Closed Access | Times Cited: 8
Faster and accurate green pepper detection using NSGA-II-based pruned YOLOv5l in the field environment
Yulong Nan, Huichun Zhang, Yong Zeng, et al.
Computers and Electronics in Agriculture (2022) Vol. 205, pp. 107563-107563
Closed Access | Times Cited: 24
Comprehensive visual information acquisition for tomato picking robot based on multitask convolutional neural network
Xiaoqiang Du, Zhichao Meng, Zenghong Ma, et al.
Biosystems Engineering (2024) Vol. 238, pp. 51-61
Closed Access | Times Cited: 5
Accurate and robust pollinations for watermelons using intelligence guided visual servoing
Khubaib Ahmad, Ji Eun Park, Talha Ilyas, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108753-108753
Closed Access | Times Cited: 4
Field-Based Soybean Flower and Pod Detection Using an Improved YOLOv8-VEW Method
Kunpeng Zhao, Jinyang Li, Wenqiang Shi, et al.
Agriculture (2024) Vol. 14, Iss. 8, pp. 1423-1423
Open Access | Times Cited: 4
A Novel Multinozzle Targeting Pollination Robot for Clustered Kiwifruit Flowers Based on Air–Liquid Dual‐Flow Spraying
Changqing Gao, Leilei He, Yezhang Ding, et al.
Journal of Field Robotics (2025)
Open Access
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