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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:

Optical Methods for the Detection of Plant Pathogens and Diseases (Review)
Sergey V. Gudkov, T.A. Matveeva, Ruslan M. Sarimov, et al.
AgriEngineering (2023) Vol. 5, Iss. 4, pp. 1789-1812
Open Access | Times Cited: 11

Showing 11 citing articles:

Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture
Abhishek Upadhyay, Narendra Singh Chandel, Krishna Pratap Singh, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access | Times Cited: 2
Phenotypic, molecular and serological detection of viral diseases in melon: a comprehensive review on progress and challenges
Dharane Kethiravan, Purabi Mazumdar, Boon Chin Tan, et al.
Journal of Plant Diseases and Protection (2025) Vol. 132, Iss. 1
Closed Access
Disease Spectral Identification and Analysis on the Bark of Gmelina (Gmelina arborea Roxb)
Annie Onez Ayag, Kyra Luminarias Padonat, Kizza Eyn Sulima Minguita, et al.
Jurnal Sylva Lestari (2025) Vol. 13, Iss. 1, pp. 60-74
Open Access
Portable solutions for plant pathogen diagnostics: development, usage, and future potential
Anurag Yadav, Kusum Yadav
Frontiers in Microbiology (2025) Vol. 16
Open Access
A Hybrid Deep Learning Architecture for Apple Foliar Disease Detection
Adnane Ait Nasser, Moulay A. Akhloufi
Computers (2024) Vol. 13, Iss. 5, pp. 116-116
Open Access | Times Cited: 3
Application of Fluorescence Spectroscopy for Early Detection of Fungal Infection of Winter Wheat Grains
T.A. Matveeva, Ruslan M. Sarimov, Olga K. Persidskaya, et al.
AgriEngineering (2024) Vol. 6, Iss. 3, pp. 3137-3158
Open Access | Times Cited: 2
Detection of Fusarium spp. infection in potato (Solanum tuberosum L.) during postharvest storage through visible–near-infrared and shortwave–near-infrared reflectance spectroscopy
Eko Prasetyo, Hanim Zuhrotul Amanah, Ibnu Farras, et al.
Open Agriculture (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 1
Partial Least Square Regression for Nondestructive Determination of Sucrose Content of Healthy and Fusarium spp. Infected Potato (Solanum tuberosum L.) Utilizing Visible and Near-Infrared Spectroscopy
Eko Prasetyo, Hanim Zuhrotul Amanah, Ibnu Farras, et al.
International Journal on Advanced Science Engineering and Information Technology (2024) Vol. 14, Iss. 3, pp. 1001-1009
Open Access
Raman spectroscopy – a visit to the literature on plant, food, and agricultural studies
Ernane Miranda Lemes
Journal of the Science of Food and Agriculture (2024)
Closed Access
Nondestructive Identification of Internal Potato Defects Using Visible and Short-Wavelength Near-Infrared Spectral Analysis
Dennis Semyalo, Ye-Na Kim, Emmanuel Omia, et al.
Agriculture (2024) Vol. 14, Iss. 11, pp. 2014-2014
Open Access
A Prototype Method for the Detection and Recognition of Pigments in the Environment Based on Optical Property Simulation
Roman Y. Pishchalnikov, Denis D. Chesalin, V.A. Kurkov, et al.
Plants (2023) Vol. 12, Iss. 24, pp. 4178-4178
Open Access | Times Cited: 1
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