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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:

AIseed: An automated image analysis software for high-throughput phenotyping and quality non-destructive testing of individual plant seeds
Keling Tu, Weifeng Wu, Ying Cheng, et al.
Computers and Electronics in Agriculture (2023) Vol. 207, pp. 107740-107740
Closed Access | Times Cited: 21

Showing 21 citing articles:

Quantification of canopy heterogeneity and light interception difference within greenhouse cucumbers based on terrestrial laser scanning
Zhi Wang, Demin Xu, Tiangang Lu, et al.
Computers and Electronics in Agriculture (2025) Vol. 230, pp. 109879-109879
Closed Access | Times Cited: 1
Detection of Insect-Damaged Maize Seed Using Hyperspectral Imaging and Hybrid 1D-CNN-BiLSTM Model
Zheli Wang, Shuxiang Fan, Ting An, et al.
Infrared Physics & Technology (2024) Vol. 137, pp. 105208-105208
Closed Access | Times Cited: 10
Artificial Intelligence-based Tools for Next-Generation Seed Quality Analysis
Sumeet Kumar Singh, Rashmi Jha, Saurabh Pandey, et al.
Crop Design (2025), pp. 100094-100094
Open Access
Rapid detection of the viability of naturally aged maize seeds using multimodal data fusion and explainable deep learning techniques
He Li, Yilin Mao, Yanan Xu, et al.
Food Chemistry (2025), pp. 143692-143692
Closed Access
Crop HTP Technologies: Applications and Prospects
Shuyuan He, Xiuni Li, Menggen Chen, et al.
Agriculture (2024) Vol. 14, Iss. 5, pp. 723-723
Open Access | Times Cited: 3
An RGB image dataset for seed germination prediction and vigor detection - maize
Chengcheng Chen, Muyao Bai, Tairan Wang, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 2
Rapid detection of turtle cracks in corn seed based on reflected and transmitted images combined with deep learning method
He Li, Yun Hao, Weifeng Wu, et al.
Microchemical Journal (2024) Vol. 201, pp. 110698-110698
Closed Access | Times Cited: 2
DSBEAN: An innovative framework for intelligent soybean breeding phenotype analysis based on various main stem structures and deep learning methods
Zhe Zhang, Xiu Jin, Yuan Rao, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109135-109135
Closed Access | Times Cited: 2
考古遗址中农作物种子/果核表型性状研究述评
Hongen Jiang, Guilin Zhang
Chinese Science Bulletin (Chinese Version) (2024)
Open Access | Times Cited: 1
Deep learning-based elaiosome detection in milk thistle seed for efficient high-throughput phenotyping
Younguk Kim, Alebel Mekuriaw Abebe, Jae-Young Kim, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 1
Cross-variety seed vigor detection using new spectral analysis techniques and ensemble learning methods
Han Zhang, Kai Kang, Cheng Wang, et al.
Journal of Food Composition and Analysis (2024), pp. 106845-106845
Closed Access | Times Cited: 1
RPER Software - A Social Management Tool for Rapid Participatory Emancipatory Research: Planning, Design and Implementation
Luiz Flávio Felizardo, Marcelo Wallau, José Roberto Pereira
Revista de Gestão Social e Ambiental (2023) Vol. 17, Iss. 10, pp. e04201-e04201
Open Access | Times Cited: 2
AIseed Simulation: A seed simulation sorting software for rapidly determining seed processing procedures and parameters
Yanan Xu, Weifeng Wu, Keling Tu, et al.
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 108971-108971
Closed Access
GRABSEEDS: extraction of plant organ traits through image analysis
Haibao Tang, Wenqian Kong, Pheonah Nabukalu, et al.
Plant Methods (2024) Vol. 20, Iss. 1
Open Access
Image Analysis Artificial Intelligence Technologies for Plant Phenotyping: Current State of the Art
Chrysanthos Maraveas
AgriEngineering (2024) Vol. 6, Iss. 3, pp. 3375-3407
Open Access
Morpho-Colorimetric Diversity and Genome-Wide Association Study of Wheat Spike Architecture Based on Image Processing Under Well-Watered and Rain-Fed Conditions
Hossein Abdi, Hadi Alipour, Iraj Bernousi, et al.
Journal of Plant Growth Regulation (2024)
Closed Access
A self-iterative learning with dual attention mechanism fusion method for pumpkin seed quality equipment
Weiming Shi, Runzhe Zhang, Kui Xuan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109446-109446
Closed Access
Advanced Plant Phenotyping: Unmanned Aerial Vehicle Remote Sensing and CimageA Software Technology for Precision Crop Growth Monitoring
Hongyu Fu, Jianning Lu, Guoxian Cui, et al.
Agronomy (2024) Vol. 14, Iss. 11, pp. 2534-2534
Open Access
Non-destructive detection strategy of maize seed vigor based on seed phenotyping and the potential for accelerating breeding
Keling Tu, Shaozhe Wen, Yanan Xu, et al.
Journal of Advanced Research (2024)
Open Access
Rapid detection of corn seed turtle cracks based on transmitted light image and deep learning method
He Li, Yun Hao, Weifeng Wu, et al.
Computers and Electronics in Agriculture (2024) Vol. 230, pp. 109876-109876
Closed Access
Seedextractor V2: Seed Image Segmentation Based on Interactive Deep Feature Selection
Feiyu Zhu, Xiaojiang Guo, Qijun Zhao, et al.
(2023)
Closed Access
Detection of Broken Hongshan Buckwheat Seeds Based on Improved YOLOv5s Model
Xin Li, Wendong Niu, Yinxing Yan, et al.
Agronomy (2023) Vol. 14, Iss. 1, pp. 37-37
Open Access
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