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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:

Enhancing Photovoltaic Module Fault Diagnosis with Unmanned Aerial Vehicles and Deep Learning-Based Image Analysis
J. Jerome Vasanth, Naveen Venkatesh Sridharan, V. Sugumaran, et al.
International Journal of Photoenergy (2023) Vol. 2023, pp. 1-17
Open Access | Times Cited: 8

Showing 8 citing articles:

Deep learning approaches for visual faults diagnosis of photovoltaic systems: State-of-the-Art review
Marium Jalal, Ihsan Ullah Khalil, Azhar ul Haq
Results in Engineering (2024) Vol. 23, pp. 102622-102622
Open Access | Times Cited: 16
Enhancing photovoltaic module fault diagnosis: Leveraging unmanned aerial vehicles and autoencoders in machine learning
C. V. Prasshanth, Naveen Venkatesh Sridharan, V. Sugumaran, et al.
Sustainable Energy Technologies and Assessments (2024) Vol. 64, pp. 103674-103674
Open Access | Times Cited: 12
PA-YOLO-Based Multifault Defect Detection Algorithm for PV Panels
Wang Yin, Zhao Jingyong, Gang Xie, et al.
International Journal of Photoenergy (2024) Vol. 2024, pp. 1-13
Open Access | Times Cited: 3
A Hybrid Machine Learning Approach: Analyzing Energy Potential and Designing Solar Fault Detection for an AIoT-Based Solar–Hydrogen System in a University Setting
Salaki Reynaldo Joshua, An Na Yeon, Sanguk Park, et al.
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8573-8573
Open Access | Times Cited: 3
An ensemble learning framework for snail trail fault detection and diagnosis in photovoltaic modules
Edgar Hernando Sepúlveda Oviedo, Louise Travé-Massuyès, Audine Subias, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109068-109068
Open Access | Times Cited: 2
Classification and Early Detection of Solar Panel Faults with Deep Neural Network Using Aerial and Electroluminescence Images
Sangita M. Jaybhaye, Vishal Sirvi, Shreyansh Srivastava, et al.
Journal of Failure Analysis and Prevention (2024) Vol. 24, Iss. 4, pp. 1746-1758
Closed Access | Times Cited: 1
Enhanced fault detection in automobile clutch system using CATboost with feature fusion method
Samavedam Aditya Sai, Ganjikunta Chakrapani, K. Annamalai, et al.
Physica Scripta (2024) Vol. 99, Iss. 9, pp. 095012-095012
Closed Access | Times Cited: 1
Defect inspection of photovoltaic solar modules using aerial electroluminescence (EL): A review
Zeinab Mahdavipour
Solar Energy Materials and Solar Cells (2024) Vol. 278, pp. 113210-113210
Closed Access | Times Cited: 1
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