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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:

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

Showing 1-25 of 41 citing articles:

Fruit ripeness identification using YOLOv8 model
Bingjie Xiao, Minh Nguyen, Wei Qi Yan
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 28039-28056
Open Access | Times Cited: 90
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
Performance evaluation of newly released cameras for fruit detection and localization in complex kiwifruit orchard environments
Xiaojuan Liu, Xudong Jing, Hanhui Jiang, et al.
Journal of Field Robotics (2024) Vol. 41, Iss. 4, pp. 881-894
Closed Access | Times Cited: 10
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
A fast and data-efficient deep learning framework for multi-class fruit blossom detection
Wei Zhou, Yifan Cui, Hongpu Huang, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108592-108592
Closed Access | Times Cited: 6
Dynamic monitoring and counting for lotus flowers and seedpods with UAV based on improved YOLOv7-tiny
Ziwei Lyu, Yu Wang, Chenglong Huang, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109344-109344
Closed Access | Times Cited: 6
Quality Detection and Grading of Rose Tea Based on a Lightweight Model
Zezhong Ding, Zhiwei Chen, Zhiyong Gui, et al.
Foods (2024) Vol. 13, Iss. 8, pp. 1179-1179
Open Access | Times Cited: 5
Three-view cotton flower counting through multi-object tracking and RGB-D imagery
Chenjiao Tan, Jin Sun, Andrew H. Paterson, et al.
Biosystems Engineering (2024) Vol. 246, pp. 233-247
Closed Access | Times Cited: 5
Predicting positions and orientations of individual kiwifruit flowers and clusters in natural environments
Kai Li, Weixin Gong, Yinggang Shi, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 108039-108039
Closed Access | Times Cited: 11
Object Detection Algorithm of Transmission Lines Based on Improved YOLOv5 Framework
Hao Zhang, Xianjun Zhou, Yike Shi, et al.
Journal of Sensors (2024) Vol. 2024, pp. 1-14
Open Access | Times Cited: 4
Multi-scenario pear tree inflorescence detection based on improved YOLOv7 object detection algorithm
Zhen Zhang, Xiaohui Lei, Kai Huang, et al.
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 4
A novel lightweight model HGCA-YOLO: Application to recognition of invisible spears for white asparagus robotic harvesting
Ping Zhang, Nianzu Dai, Xuemei Liu, et al.
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108852-108852
Closed Access | Times Cited: 4
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
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
Advancements in artificial pollination of crops: from manual to autonomous
Leilei He, Xiaojuan Liu, Yezhang Ding, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 110067-110067
Closed Access
Delivery of pollen to forsythia flower pistils autonomously and precisely using a robot arm
Minghao Yang, Hongchang Lyu, Yongjia Zhao, et al.
Computers and Electronics in Agriculture (2023) Vol. 214, pp. 108274-108274
Closed Access | Times Cited: 9
Exploring the YOLO-FT Deep Learning Algorithm for UAV-Based Smart Agriculture Detection in Communication Networks
Beibei Cui, Liang Liang, Baofeng Ji, et al.
IEEE Transactions on Network and Service Management (2024) Vol. 21, Iss. 5, pp. 5347-5360
Closed Access | Times Cited: 3
Low-cost AI-based solar panel detection drone design and implementation for solar power systems
Tolga Özer, Ömer S. Türkmen
Robotic Intelligence and Automation (2023) Vol. 43, Iss. 6, pp. 605-624
Closed Access | Times Cited: 8
Unstructured road extraction and roadside fruit recognition in grape orchards based on a synchronous detection algorithm
Xinzhao Zhou, Xiangjun Zou, Wei Tang, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 7
Research on the visual location method for strawberry picking points under complex conditions based on composite models
Hehe Xie, Zhijie Zhang, Kailiang Zhang, et al.
Journal of the Science of Food and Agriculture (2024) Vol. 104, Iss. 14, pp. 8566-8579
Closed Access | Times Cited: 2
Deep Learning based flower detection and counting in highly populated images: A peach grove case study
Juan Sebastian Estrada, Juan Pablo Vásconez, Longsheng Fu, et al.
Journal of Agriculture and Food Research (2023) Vol. 15, pp. 100930-100930
Open Access | Times Cited: 6
Crop plant automatic detecting based on in-field images by lightweight DFU-Net model
Hui Shi, Dongyuan Shi, Shengjie Wang, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108649-108649
Closed Access | Times Cited: 2
Vision-Based Localization Method for Picking Points in Tea-Harvesting Robots
Jingwen Yang, Xin Li, Xin Wang, et al.
Sensors (2024) Vol. 24, Iss. 21, pp. 6777-6777
Open Access | Times Cited: 2
Nano Aerial Vehicles for Tree Pollination
Isabel Pinheiro, André Aguiar, André Figueiredo, et al.
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4265-4265
Open Access | Times Cited: 5
UAV-based field watermelon detection and counting using YOLOv8s with image panorama stitching and overlap partitioning
Liguo Jiang, Hanhui Jiang, Xudong Jing, et al.
Artificial Intelligence in Agriculture (2024)
Open Access | Times Cited: 1
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