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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:

Segmentation and counting of wheat spike grains based on deep learning and textural feature
Xin Xu, Qing Geng, Feng Gao, et al.
Plant Methods (2023) Vol. 19, Iss. 1
Open Access | Times Cited: 16

Showing 16 citing articles:

Multi temporal multispectral UAV remote sensing allows for yield assessment across European wheat varieties already before flowering
Moritz Camenzind, Kang Yu
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 12
Automated recognition and segmentation of lung cancer cytological images based on deep learning
Q. Wang, Yazhi Luo, Ying Zhao, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0317996-e0317996
Open Access
A rapid, low-cost wheat spike grain segmentation and counting system based on deep learning and image processing
Qing Geng, Haiyang Zhang, Miao Gao, et al.
European Journal of Agronomy (2024) Vol. 156, pp. 127158-127158
Closed Access | Times Cited: 3
FIDMT-GhostNet: a lightweight density estimation model for wheat ear counting
Baohua Yang, Runchao Chen, Zhiwei Gao, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 3
A comparative study of bread wheat varieties identification on feature extraction, feature selection and machine learning algorithms
Serhat Kılıçarslan, Sabire Kılıçarslan
European Food Research and Technology (2023) Vol. 250, Iss. 1, pp. 135-149
Closed Access | Times Cited: 8
A Rapid Construction Method for High-Throughput Wheat Grain Instance Segmentation Dataset Using High-Resolution Images
Qi Gao, Heng Li, Tianyue Meng, et al.
Agronomy (2024) Vol. 14, Iss. 5, pp. 1032-1032
Open Access | Times Cited: 2
A Grain Number Counting Method Based on Image Characteristic Parameters of Wheat Spikes
Yinian Li, Shiwei Du, Zhong Hui, et al.
Agriculture (2024) Vol. 14, Iss. 7, pp. 982-982
Open Access | Times Cited: 1
A Novel Method for Wheat Spike Phenotyping Based on Instance Segmentation and Classification
Ziang Niu, Ning Liang, Yiyin He, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6031-6031
Open Access | Times Cited: 1
Studying the influence of TaGW8 and TaGS5-3A genes on the yield of soft spring wheat in arid climate conditions of the Republic of Kazakhstan
Lyudmila Zotova, Aibek Zhumalin, Aissarat M. Gajimuradova, et al.
Brazilian Journal of Biology (2024) Vol. 84
Open Access | Times Cited: 1
YOLO-LF: a lightweight multi-scale feature fusion algorithm for wheat spike detection
Shuren Zhou, Shengzhen Long
Journal of Real-Time Image Processing (2024) Vol. 21, Iss. 4
Closed Access
Comprehensive Analysis of Physico-mechanical, Color, and FT-IR Properties in Diverse Wheat Varieties
Alperay Altıkat, Mehmet Hakkı Alma
Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi (2024) Vol. 14, Iss. 3, pp. 1031-1049
Open Access
Wheat Head Classification in 3D Point Clouds for Fusarium Head blight Detection
Carolina Céspedes Marulanda
(2024)
Open Access
From Fields to Pixels: UAV Multispectral and Field-Captured RGB Imaging for High-Throughput Wheat Spike and Kernel Counting
Ahmed Mohammed, Nisar Ali, Abdul Bais, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 17806-17819
Open Access
U + LSTM-F: A data-driven growth process model of rice seedlings
Xin Tian, Wan-Quan Cao, Shaowen Liu, et al.
Ecological Informatics (2024), pp. 102922-102922
Open Access
GASN: Grain-adaptive segmentation network for dense scenarios
Xinyu Deng, Chun Liu
Computers and Electronics in Agriculture (2024) Vol. 229, pp. 109772-109772
Closed Access
Enhancing Wheat Spike Counting and Disease Detection Using a Probability Density Attention Mechanism in Deep Learning Models for Precision Agriculture
Ruiheng Li, Wenjie Hong, Ruiming Wu, et al.
Plants (2024) Vol. 13, Iss. 24, pp. 3462-3462
Open Access
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