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:

Assessing fusarium oxysporum disease severity in cotton using unmanned aerial system images and a hybrid domain adaptation deep learning time series model
Alwaseela Abdalla, Terry A. Wheeler, Jane K. Dever, et al.
Biosystems Engineering (2024) Vol. 237, pp. 220-231
Closed Access | Times Cited: 10

Showing 10 citing articles:

Emerging Technologies for Precision Crop Management Towards Agriculture 5.0: A Comprehensive Overview
Mohamed Farag Taha, Hanping Mao, Zhao Zhang, et al.
Agriculture (2025) Vol. 15, Iss. 6, pp. 582-582
Open Access

SCE-BiLSTM: A Hybrid Deep Learning Model for Regional Forest Biomass Estimation with Spatial-Channel Attention and Extreme Learning
Baogui Jiang, Zongze Zhao, Hongtao Wang, et al.
Research Square (Research Square) (2025)
Closed Access

Forest Canopy Height Retrieval Model Based on a Dual Attention Mechanism Deep Network
Zongze Zhao, Baogui Jiang, Hongtao Wang, et al.
Forests (2024) Vol. 15, Iss. 7, pp. 1132-1132
Open Access | Times Cited: 1

Design and Control of an Ultra-Low-Cost Logistic Delivery Fixed-Wing UAV
Yixuan Zhang, Qinyang Zhao, Peifu Mao, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4358-4358
Open Access | Times Cited: 1

Dual-stage color calibration of UAV imagery using multivariate regression and deep learning
Alwaseela Abdalla, Rupak Karn, Oluwatola Adedeji, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109170-109170
Closed Access | Times Cited: 1

Extratos aquosos da fungicultura no manejo de doenças em pimentão: uma revisão
Robson Eduardo Pereira Monteiro, Gabriela Barbosa de Freitas Monteiro, Maria Silvana Nunes, et al.
Caderno Pedagógico (2024) Vol. 21, Iss. 7, pp. e5585-e5585
Closed Access

An Advanced Deep Learning Approach for Precision Diagnosis of Cotton Leaf Diseases: A Multifaceted Agricultural Technology Solution
A. Venkata Nagarjun, N. Manju, Abdulbasit A. Darem, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 4, pp. 15813-15820
Open Access

Advancements and outlooks in utilizing Convolutional Neural Networks for plant disease severity assessment: A comprehensive review
Douglas Squizatto Leite, Alisson V. Brito, Gregorio Faccioli
Smart Agricultural Technology (2024) Vol. 9, pp. 100573-100573
Open Access

Automated lesion detection in cotton leaf visuals using deep learning
Faisal Akbar, Yassine Aribi, Syed Muhammad Usman, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2369-e2369
Open Access

CVW-Etr: A High-Precision Method for Estimating the Severity Level of Cotton Verticillium Wilt Disease
Pan Pan, Qiong Yao, Jiawei Shen, et al.
Plants (2024) Vol. 13, Iss. 21, pp. 2960-2960
Open Access

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