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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:

Maize plant detection using UAV-based RGB imaging and YOLOv5
Chenghao Lu, Emmanuel Nnadozie, Moritz Camenzind, et al.
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 16

Showing 16 citing articles:

Drone‐based imaging sensors, techniques, and applications in plant phenotyping for crop breeding: A comprehensive review
Boubacar Gano, Sourav Bhadra, Justin M. Vilbig, et al.
The Plant Phenome Journal (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 18
A rapid and precise algorithm for maize leaf disease detection based on YOLO MSM
Yu Meng, Jiawei Zhan, Kangshun Li, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Enhanced recognition and counting of high-coverage Amorphophallus konjac by integrating UAV RGB imagery and deep learning
Ziyi Yang, Kunrong Hu, Weili Kou, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Swin-Roleaf: A new method for characterizing leaf azimuth angle in large-scale maize plants
Weilong He, Joseph L. Gage, Rubén Rellán‐Álvarez, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109120-109120
Closed Access | Times Cited: 4
YOLOv8s-Longan: a lightweight detection method for the longan fruit-picking UAV
Jun Li, Kaixuan Wu, Meiqi Zhang, et al.
Frontiers in Plant Science (2025) Vol. 15
Open Access
Deep learning in multi-sensor agriculture and crop management
Darwin Alexis Arrechea-Castillo, Yady Tatiana Solano‐Correa
Elsevier eBooks (2025), pp. 335-379
Closed Access
A neural network approach employed to classify soybean plants using multi-sensor images
Flávia Luize Pereira de Souza, Luciano Shozo Shiratsuchi, Maurício A. Dias, et al.
Precision Agriculture (2025) Vol. 26, Iss. 2
Open Access
Comparison of YOLO-based sorghum spike identification detection models and monitoring at the flowering stage
Song Zhang, Yehua Yang, Liangcheng Tu, et al.
Plant Methods (2025) Vol. 21, Iss. 1
Open Access
The Blessing of Depth Anything: An Almost Unsupervised Approach to Crop Segmentation with Depth-Informed Pseudo Labeling
Shuyu Cao, Binghui Xu, Wei Zhou, et al.
Plant Phenomics (2025), pp. 100005-100005
Open Access
Combining UAV multisensor field phenotyping and genome-wide association studies to reveal the genetic basis of plant height in cotton (Gossypium hirsutum)
Liqiang Fan, Jiajie Yang, Xuwen Wang, et al.
Plant Phenomics (2025), pp. 100026-100026
Open Access
Weed Instance Segmentation from UAV Orthomosaic Images based on Deep Learning
Chenghao Lu, Klaus Gehring, Stefan Kopfinger, et al.
Smart Agricultural Technology (2025), pp. 100966-100966
Open Access
Object Detection in High-Resolution UAV Aerial Remote Sensing Images of Blueberry Canopy Fruits
Yun Zhao, Yang Li, Xing Xu
Agriculture (2024) Vol. 14, Iss. 10, pp. 1842-1842
Open Access | Times Cited: 1
A general Seeds-Counting pipeline using deep-learning model
Zeonlung Pun, Xinyu Tian, Shan Gao
Pattern Analysis and Applications (2024) Vol. 27, Iss. 3
Closed Access
Weed Instance Segmentation from UAV ortho-mosaic Images based on Deep Learning
Chenghao Lu, Kang Yu
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A Unified Framework for Plant Identification from UAV Images
Mai Viet Hoang, Doan-Duc Phan, Cong Tuan Minh Le, et al.
(2024), pp. 421-426
Closed Access
Monitoring of Broccoli Flower Head Development in Fields Using Drone Imagery and Deep Learning Methods
Chenzi Zhang, Xiaoxue Sun, Shuxin Xuan, et al.
Agronomy (2024) Vol. 14, Iss. 11, pp. 2496-2496
Open Access
A Lightweight Model for Weed Detection Based on the Improved YOLOv8s Network in Maize Fields
Jinyong Huang, Xia Xu, Zhihua Diao, et al.
Agronomy (2024) Vol. 14, Iss. 12, pp. 3062-3062
Open Access
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