Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Showing 1-25 of 29 citing articles:

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
Rapid and accurate identification of bakanae pathogens carried by rice seeds based on hyperspectral imaging and deep transfer learning
Na Wu, Shizhuang Weng, Qinlin Xiao, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 311, pp. 123889-123889
Closed Access | Times Cited: 10
Modeling of flaxseed protein, oil content, linoleic acid, and lignan content prediction based on hyperspectral imaging
Dongyu Zhu, Junying Han, Chengzhong Liu, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 7
Classification of multi-year and multi-variety pumpkin seeds using hyperspectral imaging technology and three-dimensional convolutional neural network
Xiyao Li, Xuping Feng, Hui Fang, et al.
Plant Methods (2023) Vol. 19, Iss. 1
Open Access | Times Cited: 16
Review of deep learning-based methods for non-destructive evaluation of agricultural products
Zhenye Li, Dongyi Wang, Tingting Zhu, et al.
Biosystems Engineering (2024) Vol. 245, pp. 56-83
Closed Access | Times Cited: 5
DualTransAttNet: A Hybrid Model with a Dual Attention Mechanism for Corn Seed Classification
Fei Pan, Dawei He, Pengjun Xiang, et al.
Agronomy (2025) Vol. 15, Iss. 1, pp. 200-200
Open Access
Identification of maize kernel varieties based on interpretable ensemble algorithms
Chunguang Bi, Xinhua Bi, Jinjing Liu, et al.
Frontiers in Plant Science (2025) Vol. 16
Open Access
Nondestructive prediction of pepper seed viability using single and fusion information of hyperspectral and X-ray images
Suk-Ju Hong, Seongmin Park, Ahyeong Lee, et al.
Sensors and Actuators A Physical (2022) Vol. 350, pp. 114151-114151
Closed Access | Times Cited: 18
Hyperspectral imaging combined with CNN for maize variety identification
Fu Zhang, Fangyuan Zhang, Shunqing Wang, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 9
MLR-based feature splitting regression for estimating plant traits using high-dimensional hyperspectral reflectance data
Shuaipeng Fei, Demin Xu, Zhe Chen, et al.
Field Crops Research (2023) Vol. 293, pp. 108855-108855
Closed Access | Times Cited: 8
A novel method for identifying rice seed purity using hybrid machine learning algorithms
Thi-Thu-Hong Phan, Quoc-Trinh Vo, Huu-Du Nguyen
Heliyon (2024) Vol. 10, Iss. 14, pp. e33941-e33941
Open Access | Times Cited: 2
Maize Stem Contour Extraction and Diameter Measurement Based on Adaptive Threshold Segmentation in Field Conditions
Jing Zhou, Yushan Wu, Jian Chen, et al.
Agriculture (2023) Vol. 13, Iss. 3, pp. 678-678
Open Access | Times Cited: 7
Integrating optical imaging techniques for a novel approach to evaluate Siberian wild rye seed maturity
Zhicheng Jia, Chengming Ou, Shoujiang Sun, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 5
Rapid prediction and visualization of safe moisture content in alfalfa seeds based on multispectral imaging technology
Shuangfeng Yang, Zhicheng Jia, Kun Yi, et al.
Industrial Crops and Products (2024) Vol. 222, pp. 119448-119448
Closed 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
Hyperspectral imaging with machine learning for non-destructive classification of Astragalus membranaceus var. mongholicus, Astragalus membranaceus, and similar seeds
Yanan Xu, Weifeng Wu, Yi Chen, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 7
The Ear Unwrapper: A Maize Ear Image Acquisition Pipeline for Disease Severity Phenotyping
Owen Hudson, Dylan Hudson, Colin Brahmstedt, et al.
AgriEngineering (2023) Vol. 5, Iss. 3, pp. 1216-1225
Open Access | Times Cited: 2
Comparison of Different Machine Learning Algorithms for the Prediction of the Wheat Grain Filling Stage Using RGB Images
Yunlin Song, Zhuangzhuang Sun, Ruinan Zhang, et al.
Plants (2023) Vol. 12, Iss. 23, pp. 4043-4043
Open Access | Times Cited: 2
Non-Destructive Viability Discrimination for Individual Scutellaria baicalensis Seeds Based on High-Throughput Phenotyping and Machine Learning
Keling Tu, Ying Cheng, Cuiling Ning, et al.
Agriculture (2022) Vol. 12, Iss. 10, pp. 1616-1616
Open Access | Times Cited: 4
Detection of Chylous Plasma Based on Machine Learning and Hyperspectral Techniques
Yafei Liu, Jianxiu Lai, Liying Hu, et al.
Applied Spectroscopy (2024) Vol. 78, Iss. 4, pp. 365-375
Open Access
BOISO: Weight optimized U-Net architecture for segmentation of hyperspectral image
I. Bhuvaneshwarri, Andrzej Stateczny, Aruna Kumari Kokku, et al.
Research Square (Research Square) (2024)
Open Access
Dacnet: Depth-Aware Convolutional Network for Hyperspectral Image Classification
Gongchao Chen, Ling Zhou, Linfang Li, et al.
(2024)
Closed Access
Differentiation of Soybean Genotypes Concerning Seed Physiological Quality Using Hyperspectral Bands
Izabela Cristina de Oliveira, Dthenifer Cordeiro Santana, Victoria Toledo Romancini, et al.
AgriEngineering (2024) Vol. 6, Iss. 4, pp. 4752-4765
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
Rice variety identification system based on drone images to support seed certification process
Ardo Ardiyansah, Ahmad Zamzami, Wulandari Wulandari
Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) (2023) Vol. 51, Iss. 1, pp. 79-89
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top