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:

Ten deep learning techniques to address small data problems with remote sensing
Anastasiia Safonova, Gohar Ghazaryan, Stefan Stiller, et al.
EarthArXiv (California Digital Library) (2023)
Open Access | Times Cited: 11

Showing 11 citing articles:

A Novel Framework for Forest Above-Ground Biomass Inversion Using Multi-Source Remote Sensing and Deep Learning
Junxiang Zhang, Cui Zhou, Gui Zhang, et al.
Forests (2024) Vol. 15, Iss. 3, pp. 456-456
Open Access | Times Cited: 3
Integrated sensing and machine learning: Predicting saccharine and bioenergy feedstocks in sugarcane
Marcelo Rodrigues Barbosa Júnior, Bruno Rafael de Almeida Moreira, Dulis Duron, et al.
Industrial Crops and Products (2024) Vol. 215, pp. 118627-118627
Closed Access | Times Cited: 2
Transfer of learning in convolutional neural networks for thermal image classification in Electrical Transformer Rooms
Abdallah A. Elgohary, Mohamed M. Badr, Noha A. Elmalhy, et al.
Alexandria Engineering Journal (2024) Vol. 105, pp. 423-436
Open Access | Times Cited: 2
Evaluating the ability of convolutional neural networks for transfer learning in Pinus radiata cover predictions
Alejandra Bravo-Diaz, Sebastián Moreno, Javier Lopatin
Ecological Informatics (2024) Vol. 82, pp. 102684-102684
Open Access | Times Cited: 1
Livestock Detection and Counting in Kenyan Rangelands Using Aerial Imagery and Deep Learning Techniques
Ian A. Ocholla, Petri Pellikka, Faith Karanja, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2929-2929
Open Access | Times Cited: 1
Self-supervised learning of Vision Transformers for digital soil mapping using visual data
Paul Tresson, Maxime Dumont, Marc Jaeger, et al.
Geoderma (2024) Vol. 450, pp. 117056-117056
Open Access
Unharvested Palm Fruit Bunch Ripeness Detection with Hybrid Color Correction
Cheng Chang, Rajendran Parthiban, Vineetha Kalavally, et al.
Smart Agricultural Technology (2024) Vol. 9, pp. 100643-100643
Open Access
Expert-assisted statistical learning techniques for assessing wetland conditions in urban landscapes
Kevin J. Erratt, Sassan Mohammady, Tracy S. Lee, et al.
Ecological Indicators (2024) Vol. 169, pp. 112932-112932
Open Access
Predicting the hardgrove grindability index using interpretable decision tree-based machine learning models
Yuxin Chen, Manoj Khandelwal, Moshood Onifade, et al.
Fuel (2024) Vol. 384, pp. 133953-133953
Open Access
The impacts of training data spatial resolution on deep learning in remote sensing
Christopher Ardohain, Songlin Fei
Science of Remote Sensing (2024) Vol. 11, pp. 100185-100185
Closed Access
Feasibility Analysis for Predicting Indian Ocean Bigeye Tuna (Thunnus obesus) Fishing Grounds Based on Temporal Characteristics of FY-3 Microwave Radiation Imager Data
Yun Zhang, Jing Ye, Shuhu Yang, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 11, pp. 1917-1917
Open Access
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