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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 corn canopy organs detection method based on improved DBi-YOLOv8 network
Haiou Guan, Haotian Deng, Xiaodan Ma, et al.
European Journal of Agronomy (2024) Vol. 154, pp. 127076-127076
Closed Access | Times Cited: 20

Showing 20 citing articles:

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: 1
Poplar seedling varieties and drought stress classification based on multi-source, time-series data and deep learning
Lu Wang, Huichun Zhang, Liming Bian, et al.
Industrial Crops and Products (2024) Vol. 218, pp. 118905-118905
Closed Access | Times Cited: 7
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: 6
Two-Stage Detection Algorithm for Plum Leaf Disease and Severity Assessment Based on Deep Learning
Caihua Yao, Ziqi Yang, Peifeng Li, et al.
Agronomy (2024) Vol. 14, Iss. 7, pp. 1589-1589
Open Access | Times Cited: 5
Efficient and accurate identification of maize rust disease using deep learning model
Pei Wang, Jiajia Tan, Yuheng Yang, et al.
Frontiers in Plant Science (2025) Vol. 15
Open Access
Lettuce architectural phenotypes extraction from multimodal images by low-light sensitivity and strong spatial perception
Shenglian Lu, Yibo Lv, Tingting Qian, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 109928-109928
Closed Access
New insights on canopy heterogeneous analysis and light micro-climate simulation in Chinese solar greenhouse
Demin Xu, Haochong Chen, Fang Ji, et al.
Computers and Electronics in Agriculture (2025) Vol. 233, pp. 110179-110179
Closed Access
Rapid identification of Gastrodia elata Blume hybrids using near-infrared spectroscopy combined with lightweight depthwise separable convolutional neural networks
Tuo Guo, Qin Li, Caiyun Wang, et al.
Microchemical Journal (2025), pp. 113273-113273
Closed Access
GVC-YOLO: A Lightweight Real-Time Detection Method for Cotton Aphid-Damaged Leaves Based on Edge Computing
Zhenyu Zhang, Yunfan Yang, Xin Xu, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 3046-3046
Open Access | Times Cited: 4
A Coffee Plant Counting Method Based on Dual-Channel NMS and YOLOv9 Leveraging UAV Multispectral Imaging
X.Q. Wang, Chao Zhang, Zhenping Qiang, et al.
Remote Sensing (2024) Vol. 16, Iss. 20, pp. 3810-3810
Open Access | Times Cited: 4
A method of maize seed variety identification based on near-infrared spectroscopy combined with improved DenseNet model
Haichao Zhou, Haiou Guan, Xiaodan Ma, et al.
Microchemical Journal (2024) Vol. 206, pp. 111542-111542
Closed Access | Times Cited: 3
Advancing architectural heritage: precision decoding of East Asian timber structures from Tang dynasty to traditional Japan
Chan Gao, Genfeng Zhao, Sen Gao, et al.
Heritage Science (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 3
Lightweight Corn Leaf Detection and Counting Using Improved YOLOv8
Shaotong Ning, Tan Feng, Xuebo Chen, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5279-5279
Open Access | Times Cited: 2
Multi-Altitude Corn Tassel Detection and Counting Based on UAV RGB Imagery and Deep Learning
Shanwei Niu, Zhigang Nie, Guang Li, et al.
Drones (2024) Vol. 8, Iss. 5, pp. 198-198
Open Access | Times Cited: 1
Maize Anthesis-Silking Interval Estimation via Image Detection under Field Rail-Based Phenotyping Platform
Lvhan Zhuang, Chuanyu Wang, Haoyuan Hao, et al.
Agronomy (2024) Vol. 14, Iss. 8, pp. 1723-1723
Open Access
High-Precision Automated Soybean Phenotypic Feature Extraction Based on Deep Learning and Computer Vision
Q. Y. Zhang, Ke-Jun Fan, Zhixi Tian, et al.
Plants (2024) Vol. 13, Iss. 18, pp. 2613-2613
Open Access
Enhancing sustainable Chinese cabbage production: a comparative analysis of multispectral image instance segmentation techniques
Xinru Yuan, Haiyang Yu, Tingting Geng, et al.
Frontiers in Sustainable Food Systems (2024) Vol. 8
Open Access
Canopy structure dynamics constraints and time sequence alignment for improving retrieval of rice leaf area index from multi-temporal Sentinel-1 imagery
Yu Liu, Bo Wang, Junfeng Tao, et al.
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109658-109658
Closed Access
低照度下基于图像增强和人脸状态识别的疲劳驾驶检测
赵洋 Zhao Yang, 苗佳龙 Miao Jialong, 刘雪枫 Liu Xuefeng, et al.
Laser & Optoelectronics Progress (2024) Vol. 61, Iss. 22, pp. 2215005-2215005
Closed Access
Lightweight Computation Method for Tomato Fruit Phenotyping Based on an Improved Deep Learning Model
Haiou Guan, Zhicheng Gu, Xiaodan Ma, et al.
(2024)
Closed Access
A calculation method for cotton phenotypic traits based on unmanned aerial vehicle LiDAR combined with a three-dimensional deep neural network
Xiaoshuai Chen, Sheng Wen, Lei Zhang, et al.
Computers and Electronics in Agriculture (2024) Vol. 230, pp. 109857-109857
Closed Access
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