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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:

Method for early diagnosis of verticillium wilt in cotton based on chlorophyll fluorescence and hyperspectral technology
Mi Yang, Xiaoyan Kang, Xiaofeng Qiu, et al.
Computers and Electronics in Agriculture (2023) Vol. 216, pp. 108497-108497
Closed Access | Times Cited: 10

Showing 10 citing articles:

Early Detection of Verticillium Wilt in Cotton by Using Hyperspectral Imaging Combined with Recurrence Plots
Fei Tan, Xiuwen Gao, Hao Cang, et al.
Agronomy (2025) Vol. 15, Iss. 1, pp. 213-213
Open Access
Roles of Physiological and Nonphysiological Information in Sun-Induced Chlorophyll Fluorescence Variations for Detecting Cotton Verticillium Wilt
Junru Zhou, Changping Huang, Y. S. Gui, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 8835-8850
Open Access | Times Cited: 2
Improving UAV hyperspectral monitoring accuracy of summer maize soil moisture content with an ensemble learning model fusing crop physiological spectral responses
Hao Liu, Junying Chen, Youzhen Xiang, et al.
European Journal of Agronomy (2024) Vol. 160, pp. 127299-127299
Closed Access | Times Cited: 2
Severity Assessment of Cotton Canopy Verticillium Wilt by Machine Learning Based on Feature Selection and Optimization Algorithm Using UAV Hyperspectral Data
Weinan Li, Yang Guo, Weiguang Yang, et al.
Remote Sensing (2024) Vol. 16, Iss. 24, pp. 4637-4637
Open Access | Times Cited: 1
Efficient detection of cotton verticillium wilt by combining satellite time series data and multi-view UAV images
Jing Nie, Jiachen Jiang, Yang Li, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 13547-13557
Open Access
Detection of Verticillium infection in cotton leaves using ATR-FTIR spectroscopy coupled with machine learning algorithms
Xianchang Li, Lipeng Zhang, Shiding Zhang, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 325, pp. 125127-125127
Closed Access
Fluorometer “FLS 10s”
Oleksandr Voronenko
Cybernetics and Computer Technologies (2024), Iss. 3, pp. 87-95
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
LeafDPN: An Improved DPN Model for the Identification of Bacterial Blight in Soybean in Natural Environments
Rui Cong, Ying Xu, Hao Su, et al.
Agronomy (2024) Vol. 14, Iss. 12, pp. 3064-3064
Open Access
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