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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:

Detection of cleaning interventions on photovoltaic modules with machine learning
Matthias Heinrich, Simon Meunier, Allou Samé, et al.
Applied Energy (2020) Vol. 263, pp. 114642-114642
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Application of Artificial Neural Networks to photovoltaic fault detection and diagnosis: A review
Baojie Li, Claude Delpha, Demba Diallo, et al.
Renewable and Sustainable Energy Reviews (2020) Vol. 138, pp. 110512-110512
Open Access | Times Cited: 221
Short-Term Power Prediction of Building Integrated Photovoltaic (BIPV) System Based on Machine Learning Algorithms
R. Kabilan, Chandran Venkatesan, J. Yogapriya, et al.
International Journal of Photoenergy (2021) Vol. 2021, pp. 1-11
Open Access | Times Cited: 72
Asynchronous Decentralized Federated Learning for Collaborative Fault Diagnosis of PV Stations
Qi Liu, Bo Yang, Zhaojian Wang, et al.
IEEE Transactions on Network Science and Engineering (2022) Vol. 9, Iss. 3, pp. 1680-1696
Open Access | Times Cited: 38
Optimize photovoltaic panels cleaning scheduling framework based on variations of hourly-based active electricity pricing in the market
Ali Yaghoubi, Mahdi Gandomzadeh, Aslan Gholami, et al.
Solar Energy (2024) Vol. 275, pp. 112633-112633
Closed Access | Times Cited: 9
Current Practices of Solar Photovoltaic Panel Cleaning System and Future Prospects of Machine Learning Implementation
Nasib Khadka, Aayush Bista, Binamra Adhikari, et al.
IEEE Access (2020) Vol. 8, pp. 135948-135962
Open Access | Times Cited: 56
A fast MPPT-based anomaly detection and accurate fault diagnosis technique for PV arrays
Chenxi Li, Yongheng Yang, Kanjian Zhang, et al.
Energy Conversion and Management (2021) Vol. 234, pp. 113950-113950
Closed Access | Times Cited: 47
Enhancing solar panel performance: A machine learning approach to dust detection and automated water sprinkle-based cleaning strategy
Salman Hossain, All Mumtahina Arika, Iffat Nowshin Fahim, et al.
Solar Energy (2025) Vol. 287, pp. 113240-113240
Closed Access
Fault diagnosis for PV arrays considering dust impact based on transformed graphical features of characteristic curves and convolutional neural network with CBAM modules
Jiaqi Qu, Qiang Sun, Zheng Qian, et al.
Applied Energy (2023) Vol. 355, pp. 122252-122252
Closed Access | Times Cited: 15
Machine learning applications in health monitoring of renewable energy systems
Bo Ren, Yuan Chi, Niancheng Zhou, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 189, pp. 114039-114039
Closed Access | Times Cited: 13
A stacking ensemble classifier-based machine learning model for classifying pollution sources on photovoltaic panels
Prince Waqas Khan, Yung Cheol Byun, Ok‐Ran Jeong
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 12
Deep Learning-Based Recognition and Classification of Soiled Photovoltaic Modules Using HALCON Software for Solar Cleaning Robots
Shoaib Ahmed, Haroon Rashid, Zakria Qadir, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1295-1295
Open Access
Impacts of soiling on solar panel performance and state-of-the-art effective cleaning methods: A recent review
Nadia Shahzad, Naveed Hussain, Shayan Umar, et al.
Journal of Cleaner Production (2025), pp. 145119-145119
Closed Access
Compound fault diagnosis model for Photovoltaic array using multi-scale SE-ResNet
Peijie Lin, Zhuang Qian, Xiaoyang Lu, et al.
Sustainable Energy Technologies and Assessments (2021) Vol. 50, pp. 101785-101785
Closed Access | Times Cited: 28
Improving the Efficiency of Photovoltaic Panels Using Machine Learning Approach
Rashmita Khilar, G. Merlin Suba, T. Sathesh Kumar, et al.
International Journal of Photoenergy (2022) Vol. 2022, pp. 1-6
Open Access | Times Cited: 18
Assessing the impact of soiling on photovoltaic efficiency using supervised learning techniques
Luiza Araujo Costa Silva, L. G. B. Ruiz, D. Criado-Ramón, et al.
Expert Systems with Applications (2023) Vol. 231, pp. 120816-120816
Closed Access | Times Cited: 10
Fault diagnosis of photovoltaic array with multi-module fusion under hyperparameter optimization
Bin Gong, Aimin An, Yaoke Shi, et al.
Energy Conversion and Management (2024) Vol. 319, pp. 118974-118974
Closed Access | Times Cited: 3
PV Module Soiling Detection Using Visible Spectrum Imaging and Machine Learning
Boris Evstatiev, Dimitar Trifonov, Katerina Gabrovska-Evstatieva, et al.
Energies (2024) Vol. 17, Iss. 20, pp. 5238-5238
Open Access | Times Cited: 3
An integrated industrial PV panel cleaning recommendation system for optimal dust removal
Chao Zhang, Yunfeng Ma, Guolin Yang, et al.
Applied Energy (2024) Vol. 377, pp. 124692-124692
Closed Access | Times Cited: 3
Impact of dust accumulation on photovoltaic panels: a review paper
Haneen Abuzaid, Mahmoud Awad, Abdulrahim Shamayleh
International Journal of Sustainable Engineering (2022) Vol. 15, Iss. 1, pp. 264-285
Open Access | Times Cited: 15
Optimal cleaning schedule in solar PV using the biography-based helianthus optimization enabled coupled deep network
Upendra Pal Singh, Subhash Chandra
Solar Energy (2023) Vol. 266, pp. 112138-112138
Closed Access | Times Cited: 8
Experimental Studies for Glass Light Transmission Degradation in Solar Cells Due to Dust Accumulation Using Effective Optical Scattering Parameters and Machine Learning Algorithm
Sameh O. Abdellatif, Lamis Amr, Khaled Kirah, et al.
IEEE Journal of Photovoltaics (2022) Vol. 13, Iss. 1, pp. 158-164
Closed Access | Times Cited: 13
A proposed set of indicators for evaluating the performance of the operation and maintenance of photovoltaic plants
Graciele Rediske, Leandro Michels, Júlio Cezar Mairesse Siluk, et al.
Applied Energy (2023) Vol. 354, pp. 122158-122158
Closed Access | Times Cited: 6
Low-Cost Electronics for Online I-V Tracing at Photovoltaic Module Level: Development of Two Strategies and Comparison between Them
José Ignacio Morales-Aragonés, Sara Gallardo-Saavedra, Víctor Alonso‐Gómez, et al.
Electronics (2021) Vol. 10, Iss. 6, pp. 671-671
Open Access | Times Cited: 14
Intelligent and Data-Driven Fault Detection of Photovoltaic Plants
Siya Yao, Qi Kang, MengChu Zhou, et al.
Processes (2021) Vol. 9, Iss. 10, pp. 1711-1711
Open Access | Times Cited: 12
Identification Model of Fault-Influencing Factors for Dam Concrete Production System Based on Grey Correlation Analysis
Huawei Zhou, Tonghao Mi, Chunju Zhao, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4745-4745
Open Access | Times Cited: 1
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