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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:

Fast and accurate green pepper detection in complex backgrounds via an improved Yolov4-tiny model
Li Xu, Jiandong Pan, Fangping Xie, et al.
Computers and Electronics in Agriculture (2021) Vol. 191, pp. 106503-106503
Closed Access | Times Cited: 83

Showing 1-25 of 83 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: 132
Optimization strategies of fruit detection to overcome the challenge of unstructured background in field orchard environment: a review
Yunchao Tang, Jiajun Qiu, Yunqi Zhang, et al.
Precision Agriculture (2023) Vol. 24, Iss. 4, pp. 1183-1219
Closed Access | Times Cited: 86
Detection of tomato plant phenotyping traits using YOLOv5-based single stage detectors
Angelo Cardellicchio, Firozeh Solimani, Giovanni Dimauro, et al.
Computers and Electronics in Agriculture (2023) Vol. 207, pp. 107757-107757
Open Access | Times Cited: 81
Plant Disease Detection and Classification Method Based on the Optimized Lightweight YOLOv5 Model
Haiqing Wang, Shuqi Shang, Dongwei Wang, et al.
Agriculture (2022) Vol. 12, Iss. 7, pp. 931-931
Open Access | Times Cited: 74
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
Detection and Counting of Small Target Apples under Complicated Environments by Using Improved YOLOv7-tiny
Li Ma, Liya Zhao, Zixuan Wang, et al.
Agronomy (2023) Vol. 13, Iss. 5, pp. 1419-1419
Open Access | Times Cited: 49
Plant image recognition with deep learning: A review
Huiling Chen, Yiqi Huang, Zizhao Zhang, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108072-108072
Closed Access | Times Cited: 49
Study on fusion clustering and improved YOLOv5 algorithm based on multiple occlusion of Camellia oleifera fruit
Shang Chen, Xiangjun Zou, Xinzhao Zhou, et al.
Computers and Electronics in Agriculture (2023) Vol. 206, pp. 107706-107706
Closed Access | Times Cited: 42
An Improved Apple Object Detection Method Based on Lightweight YOLOv4 in Complex Backgrounds
Chenxi Zhang, Feng Kang, Yaxiong Wang
Remote Sensing (2022) Vol. 14, Iss. 17, pp. 4150-4150
Open Access | Times Cited: 57
Deep Learning in Controlled Environment Agriculture: A Review of Recent Advancements, Challenges and Prospects
Mike O. Ojo, Azlan Zahid
Sensors (2022) Vol. 22, Iss. 20, pp. 7965-7965
Open Access | Times Cited: 51
Fast and precise detection of litchi fruits for yield estimation based on the improved YOLOv5 model
Lele Wang, Yingjie Zhao, Zhangjun Xiong, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 43
Real-time and accurate detection of citrus in complex scenes based on HPL-YOLOv4
Lijia Xu, Yihan Wang, Xiaoshi Shi, et al.
Computers and Electronics in Agriculture (2022) Vol. 205, pp. 107590-107590
Closed Access | Times Cited: 41
Deep learning based soybean seed classification
Ziliang Huang, Rujing Wang, Ying Cao, et al.
Computers and Electronics in Agriculture (2022) Vol. 202, pp. 107393-107393
Closed Access | Times Cited: 38
YOLOv5-lotus an efficient object detection method for lotus seedpod in a natural environment
Jie Ma, Ange Lu, Chen Chen, et al.
Computers and Electronics in Agriculture (2023) Vol. 206, pp. 107635-107635
Open Access | Times Cited: 28
YOLOAPPLE: Augment Yolov3 deep learning algorithm for apple fruit quality detection
M. Karthikeyan, T. S. Subashini, R. Srinivasan, et al.
Signal Image and Video Processing (2023) Vol. 18, Iss. 1, pp. 119-128
Closed Access | Times Cited: 25
Verification of improved YOLOX model in detection of greenhouse crop organs: Considering tomato as example
Fujie Zhang, Zhiyuan Lv, Huixin Zhang, et al.
Computers and Electronics in Agriculture (2023) Vol. 205, pp. 107582-107582
Closed Access | Times Cited: 22
When crops meet machine vision: A review and development framework for a low-cost nondestructive online monitoring technology in agricultural production
Xinyue Lv, Xiaolong Zhang, Hairong Gao, et al.
Agriculture Communications (2024) Vol. 2, Iss. 1, pp. 100029-100029
Open Access | Times Cited: 9
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: 8
Real-Time Detection and Location of Potted Flowers Based on a ZED Camera and a YOLO V4-Tiny Deep Learning Algorithm
Jizhang Wang, Zhiheng Gao, Yun Zhang, et al.
Horticulturae (2021) Vol. 8, Iss. 1, pp. 21-21
Open Access | Times Cited: 40
Weed Detection in Maize Fields by UAV Images Based on Crop Row Preprocessing and Improved YOLOv4
Haotian Pei, Youqiang Sun, He Huang, et al.
Agriculture (2022) Vol. 12, Iss. 7, pp. 975-975
Open Access | Times Cited: 32
Weed Detection in Peanut Fields Based on Machine Vision
Hui Zhang, Zhi Wang, Yufeng Guo, et al.
Agriculture (2022) Vol. 12, Iss. 10, pp. 1541-1541
Open Access | Times Cited: 32
Detection of powdery mildew on strawberry leaves based on DAC-YOLOv4 model
Yang Li, Wang Jian-chun, Huarui Wu, et al.
Computers and Electronics in Agriculture (2022) Vol. 202, pp. 107418-107418
Open Access | Times Cited: 32
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
A Review of RGB Image-Based Internet of Things in Smart Agriculture
Xiaomin Li, Bingfa Hou, Rihong Zhang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 20, pp. 24107-24122
Closed Access | Times Cited: 16
BFP Net: Balanced Feature Pyramid Network for Small Apple Detection in Complex Orchard Environment
Meili Sun, Liancheng Xu, Xiude Chen, et al.
Plant Phenomics (2022) Vol. 2022
Open Access | Times Cited: 25
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