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:

Accurate machine learning-based germination detection, prediction and quality assessment of three grain crops
Nikita Genze, Richa Bharti, Michael Grieb, et al.
Plant Methods (2020) Vol. 16, Iss. 1
Open Access | Times Cited: 65

Showing 51-75 of 65 citing articles:

An Intelligent Detection System for Wheat Appearance Quality
Junling Liang, Jianping Chen, Meixuan Zhou, et al.
Agronomy (2024) Vol. 14, Iss. 5, pp. 1057-1057
Open Access

Advancing plant biology through deep learning-powered natural language processing
Shuang Peng, Loïc Rajjou
Plant Cell Reports (2024) Vol. 43, Iss. 8
Closed Access

Application of machine learning in agriculture
Olivera Ećim-Đurić, Rajko Miodragović, Andreja Rajković, et al.
Poljoprivredna tehnika (2024) Vol. 49, Iss. 4, pp. 108-125
Open Access

The Potential of Nano-Based Seed Priming for Sustainable Agriculture
Annika Durve Gupta, Arvind Radheyshyam Gupta
Advances in environmental engineering and green technologies book series (2023), pp. 43-88
Closed Access | Times Cited: 1

Plant Gene Regulatory Networks
Kerstin Kaufmann, Klaas Vandepoele
Methods in molecular biology (2023)
Closed Access | Times Cited: 1

Improving the Prediction of Grain Protein Content in Winter Wheat at the County Level with Multisource Data: A Case Study in Jiangsu Province of China
Yajing Song, Xiaoyi Zheng, Xiaotong Chen, et al.
Agronomy (2023) Vol. 13, Iss. 10, pp. 2577-2577
Open Access | Times Cited: 1

Germination Quality Prognosis: Classifying Spectroscopic Images of the Seed Samples
Saud S. Alotaibi
Intelligent Automation & Soft Computing (2022) Vol. 35, Iss. 2, pp. 1815-1829
Open Access | Times Cited: 1

Review of Machine Learning Model Applications in Precision Agriculture
Patil Sagar Baburao, Rushil Kulkarni, Pramod A. Kharade, et al.
Advances in computer science research (2023), pp. 916-930
Open Access

Morley: Image Analysis and Evaluation of Statistically Significant Differences in Geometric Sizes of Crop Seedlings in Response to Biotic Stimulation
Daria D. Emekeeva, Tomiris Kusainova, Lev I. Levitsky, et al.
Agronomy (2023) Vol. 13, Iss. 8, pp. 2134-2134
Open Access

Seedextractor V2: Seed Image Segmentation Based on Interactive Deep Feature Selection
Feiyu Zhu, Xiaojiang Guo, Qijun Zhao, et al.
(2023)
Closed Access

Development and Test of an Auto Seedling Detection System
Jiaying Liu, Zhao Zhang
Smart agriculture (2023), pp. 121-136
Closed Access

A Mobile App for Seed Grading by Incorporating Deep Learning Approach with Bio Inspired Optimization Technique
Monica R. Mundada, Sowmya B.J., G Anurag, et al.
(2023), pp. 1-5
Closed Access

Performance Evaluation of Multi-label SINTANUR Rice Seed Classification Based on Deep Learning
Dewi Humeira Amriah, Favian Dewanta, Gelar Budiman
(2023), pp. 1-6
Closed Access

Fast Anther Dehiscence Status Recognition System Establishing by Deep Learning to Screen Heat Tolerant Cotton
Zhihao Tan, Jiawei Shi, Rongjie Lv, et al.
Research Square (Research Square) (2021)
Open Access

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