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:

Deep learning-based detection of seedling development
Salma Samiei, Pejman Rasti, Joseph Ly Vu, et al.
Plant Methods (2020) Vol. 16, Iss. 1
Open Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Application of Machine Learning Algorithms in Plant Breeding: Predicting Yield From Hyperspectral Reflectance in Soybean
Mohsen Yoosefzadeh-Najafabadi, Hugh J. Earl, Dan Tulpan, et al.
Frontiers in Plant Science (2021) Vol. 11
Open Access | Times Cited: 173
Advanced high-throughput plant phenotyping techniques for genome-wide association studies: A review
Qinlin Xiao, Xiulin Bai, Chu Zhang, et al.
Journal of Advanced Research (2021) Vol. 35, pp. 215-230
Open Access | Times Cited: 118
A high-precision detection method of hydroponic lettuce seedlings status based on improved Faster RCNN
Zhenbo Li, Ye Li, Yang Yong-bo, et al.
Computers and Electronics in Agriculture (2021) Vol. 182, pp. 106054-106054
Closed Access | Times Cited: 92
Opportunities and limits of controlled-environment plant phenotyping for climate response traits
Anna Langstroff, Marc C. Heuermann, Andreas Stahl, et al.
Theoretical and Applied Genetics (2021) Vol. 135, Iss. 1, pp. 1-16
Open Access | Times Cited: 55
EPSA-YOLO-V5s: A novel method for detecting the survival rate of rapeseed in a plant factory based on multiple guarantee mechanisms
Pan Zhang, Daoliang Li
Computers and Electronics in Agriculture (2022) Vol. 193, pp. 106714-106714
Closed Access | Times Cited: 46
Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods
Kaya Turgut, Helin Dutağacı, Gilles Galopin, et al.
Plant Methods (2022) Vol. 18, Iss. 1
Open Access | Times Cited: 45
Detection and segmentation of lettuce seedlings from seedling-growing tray imagery using an improved mask R-CNN method
Sumaiya Islam, Md Nasim Reza, Milon Chowdhury, et al.
Smart Agricultural Technology (2024) Vol. 8, pp. 100455-100455
Open Access | Times Cited: 8
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: 64
Machine Learning Approaches for Rice Seedling Growth Stages Detection
Suiyan Tan, Jingbin Liu, Henghui Lu, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 27
Key Technologies of Plug Tray Seedling Transplanters in Protected Agriculture: A Review
Wei Liu, Shijie Tian, Qingyu Wang, et al.
Agriculture (2023) Vol. 13, Iss. 8, pp. 1488-1488
Open Access | Times Cited: 20
Automatic rape flower cluster counting method based on low-cost labelling and UAV-RGB images
Jie Li, Enguo Wang, Jiangwei Qiao, et al.
Plant Methods (2023) Vol. 19, Iss. 1
Open Access | Times Cited: 18
Maize seedling information extraction from UAV images based on semi-automatic sample generation and Mask R-CNN model
Xiang Gao, Xuli Zan, Shuai Yang, et al.
European Journal of Agronomy (2023) Vol. 147, pp. 126845-126845
Closed Access | Times Cited: 16
Leveraging phenomics to enhance heat stress tolerance in tomato cultivars: a promising approach to climate change adaptation
Karungan Selvaraj Vijai Selvaraj, J. Karthikeyan, A. Bharathi, et al.
Plant Physiology Reports (2025)
Closed Access
Deep-learning-ready RGB-depth images of seedling development
Félix Mercier, Geoffroy Couasnet, Angélina El Ghaziri, et al.
Plant Methods (2025) Vol. 21, Iss. 1
Open Access
DBA_SSD: A Novel End-to-End Object Detection Algorithm Applied to Plant Disease Detection
Jun Wang, Liya Yu, Jing Yang, et al.
Information (2021) Vol. 12, Iss. 11, pp. 474-474
Open Access | Times Cited: 39
Auto-adaptive multilayer perceptron for univariate time series classification
Felipe Arias Del Campo, María Cristina Guevara Neri, Osslan Osíris Vergara Villegas, et al.
Expert Systems with Applications (2021) Vol. 181, pp. 115147-115147
Closed Access | Times Cited: 34
Computer Vision and Deep Learning as Tools for Leveraging Dynamic Phenological Classification in Vegetable Crops
Leandro Rodrigues, Sandro Augusto Magalhães, Daniel Queirós da Silva, et al.
Agronomy (2023) Vol. 13, Iss. 2, pp. 463-463
Open Access | Times Cited: 14
High-throughput measurement method for rice seedling based on improved UNet model
Sicheng Liu, Ze Huang, Zhihui Xu, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108770-108770
Closed Access | Times Cited: 4
Maize emergence rate and leaf emergence speed estimation via image detection under field rail-based phenotyping platform
Lvhan Zhuang, Chuanyu Wang, Haoyuan Hao, et al.
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108838-108838
Closed Access | Times Cited: 4
Artificial neural network modeling for deciphering the in vitro induced salt stress tolerance in chickpea (Cicer arietinum L)
Muhammad Aasım, Fatma Ebru Akın, Syed Amjad Ali, et al.
Physiology and Molecular Biology of Plants (2023)
Open Access | Times Cited: 11
Transient multi-indicator detection for seedling sorting in high-speed transplanting based on a lightweight model
Shengyi Zhao, Xiaojie Lei, Jizhan Liu, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 107996-107996
Closed Access | Times Cited: 10
Artificial intelligence models for validating and predicting the impact of chemical priming of hydrogen peroxide (H2O2) and light emitting diodes on in vitro grown industrial hemp (Cannabis sativa L.)
Muhammad Aasım, Büşra YILDIRIM, Ahmet Say, et al.
Plant Molecular Biology (2024) Vol. 114, Iss. 2
Closed Access | Times Cited: 3
Plant multiscale networks: charting plant connectivity by multi-level analysis and imaging techniques
Xi Zhang, Yi Man, Xiaohong Zhuang, et al.
Science China Life Sciences (2021) Vol. 64, Iss. 9, pp. 1392-1422
Closed Access | Times Cited: 24
Detection of Defective Lettuce Seedlings Grown in an Indoor Environment under Different Lighting Conditions Using Deep Learning Algorithms
Munirah Hayati Hamidon, Tofael Ahamed
Sensors (2023) Vol. 23, Iss. 13, pp. 5790-5790
Open Access | Times Cited: 9
CBAM + ASFF-YOLOXs: An improved YOLOXs for guiding agronomic operation based on the identification of key growth stages of lettuce
Pan Zhang, Daoliang Li
Computers and Electronics in Agriculture (2022) Vol. 203, pp. 107491-107491
Closed Access | Times Cited: 15
Page 1 - Next Page

Scroll to top