Open Access Helper

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:

DeepCob: precise and high-throughput analysis of maize cob geometry using deep learning with an application in genebank phenomics
Lydia Kienbaum, Miguel Correa Abondano, Raúl Blas, et al.
Plant Methods (2021) Vol. 17, Iss. 1
Open Access | Times Cited: 19

Showing 19 citing articles:

Object detection and tracking in Precision Farming: a systematic review
Mar Ariza-Sentís, Sergio Vélez, Raquel Martínez‐Peña, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108757-108757
Open Access | Times Cited: 33
Convolutional Neural Networks in Computer Vision for Grain Crop Phenotyping: A Review
Yahong Wang, Wen‐Hao Su
Agronomy (2022) Vol. 12, Iss. 11, pp. 2659-2659
Open Access | Times Cited: 58
Deep Learning in Image-Based Plant Phenotyping
Katherine M. Murphy, Ella Ludwig, Jorge Gutierrez, et al.
Annual Review of Plant Biology (2024) Vol. 75, Iss. 1, pp. 771-795
Closed Access | Times Cited: 9
Detection and Counting of Maize Leaves Based on Two-Stage Deep Learning with UAV-Based RGB Image
Xingmei Xu, Lu Wang, Meiyan Shu, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5388-5388
Open Access | Times Cited: 29
A High‐Throughput Phenotyping Pipeline for Quinoa (Chenopodium quinoa) Panicles Using Image Analysis With Convolutional Neural Networks
Flavio Lozano‐Isla, Lydia Kienbaum, Bettina I. G. Haussmann, et al.
Plant Breeding (2025)
Open Access
Drought stress detection technique for wheat crop using machine learning
Ankita Gupta, Lakhwinder Kaur, Gurmeet Kaur
PeerJ Computer Science (2023) Vol. 9, pp. e1268-e1268
Open Access | Times Cited: 8
High-Throughput Phenotyping: Application in Maize Breeding
E. L. Resende, Adriano Teodoro Bruzi, Everton da Silva Cardoso, et al.
AgriEngineering (2024) Vol. 6, Iss. 2, pp. 1078-1092
Open Access | Times Cited: 2
Precision Phenotyping in Crop Science: From Plant Traits to Gene Discovery for Climate‐Smart Agriculture
Ravindran Lalithambika Visakh, Sreekumar Anand, S. Bhaskar Reddy, et al.
Plant Breeding (2024)
Open Access | Times Cited: 2
The power of phenomics: Improving genebank value and utility
Ezhilmathi Angela Joseph Fernando, Michael Gomez Selvaraj, Kioumars Ghamkhar
Molecular Plant (2023) Vol. 16, Iss. 7, pp. 1099-1101
Open Access | Times Cited: 5
Selection of Sweet Corn Inbred Lines by Agronomic Performance to Determining Hybrid Parents
Suyadi Suyadi, Azeri Gautama Arifin, Andi Kurniawan
PLANTROPICA Journal of Agricultural Science (2024) Vol. 09, Iss. 1, pp. 12-24
Open Access | Times Cited: 1
Pangenomics and Machine Learning in Improvement of Crop Plants
Haifei Hu, Monica F. Danilevicz, Chengdao Li, et al.
(2024), pp. 321-347
Closed Access
Earbox, an open tool for high-throughput measurement of the spatial organization of maize ears and inference of novel traits
Vincent Oury, T. Leroux, Olivier Turc, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 2
Peer Review #4 of "Drought stress detection technique for wheat crop using machine learning (v0.2)"

(2023)
Open Access
Peer Review #1 of "Drought stress detection technique for wheat crop using machine learning (v0.1)"

(2023)
Open Access
Peer Review #3 of "Drought stress detection technique for wheat crop using machine learning (v0.1)"

(2023)
Open Access
Peer Review #2 of "Drought stress detection technique for wheat crop using machine learning (v0.1)"

(2023)
Open Access
Peer Review #1 of "Drought stress detection technique for wheat crop using machine learning (v0.2)"

(2023)
Open Access
Convolutional neural networks ResNet-50 for weevil detection in corn kernels
Iván Alberto Analuisa Aroca, Arnaldo Vergara-Romero, Iris Pérez-Almeida
Scientia Agropecuaria (2023) Vol. 13, Iss. 3, pp. 385-394
Open Access
Earbox, an open tool for high-throughput measurement of the spatial organization of maize ears and inference of novel traits
Vincent Oury, T. Leroux, Olivier Turc, et al.
Plant Methods (2022) Vol. 18, Iss. 1
Open Access
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