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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:

An automatic detection model for cracks in photovoltaic cells based on electroluminescence imaging using improved YOLOv7
Hakan Açıkgöz
Signal Image and Video Processing (2023) Vol. 18, Iss. 1, pp. 625-635
Closed Access | Times Cited: 10

Showing 10 citing articles:

Defect detection of photovoltaic modules based on improved VarifocalNet
Yanfei Jia, Guangda Chen, Liquan Zhao
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 17
Detection algorithm of aircraft skin defects based on improved YOLOv8n
Hao Wang, Lanxue Fu, Liwen Wang
Signal Image and Video Processing (2024) Vol. 18, Iss. 4, pp. 3877-3891
Closed Access | Times Cited: 4
High-Precision Defect Detection in Solar Cells Using YOLOv10 Deep Learning Model
Lotfi Aktouf, Yathin Shivanna, Mahmoud Dhimish
Solar (2024) Vol. 4, Iss. 4, pp. 639-659
Open Access | Times Cited: 4
Damage detection in concrete structures with multi-feature backgrounds using the YOLO network family
Rakesh Raushan, Vaibhav Singhal, Rajib Kumar Jha
Automation in Construction (2024) Vol. 170, pp. 105887-105887
Closed Access | Times Cited: 4
TRAFİK İŞARETLERİNİN TESPİTİNDE FARKLI YOLO MODELLERİNİN KARŞILAŞTIRILMASI
Mehmet Fatih Bekçioğulları, Bünyamin DİKİCİ, Hakan Açıkgöz, et al.
Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi (2025) Vol. 28, Iss. 1, pp. 138-150
Open Access
Enhancing fault detection and classification in photovoltaic systems based on a hybrid approach using fuzzy logic algorithm and thermal image processing
Abdelilah Et-taleby, Yassine Chaibi, Nouamane Ayadi, et al.
Scientific African (2025), pp. e02684-e02684
Open Access
A High-Precision Defect Detection Approach Based on BiFDRep-YOLOv8n for Small Target Defects in Photovoltaic Modules
Yi Lü, Chengxue Du, Li Xu, et al.
Energies (2025) Vol. 18, Iss. 9, pp. 2299-2299
Open Access
… CSPD-DETR: Real-time silicon crystalline photovoltaic cell surface defect detection transformer for building photovoltaic systems
Shouhong Chen, Ying Lu, Guanxiang Qin, et al.
Journal of Building Engineering (2025), pp. 112810-112810
Closed Access
Prominent solution for solar panel defect detection using AI-based computer vision technology with IoT sensors in the solar panel manufacturing industry
Richa Singh, R.L. Kashyap, Ashutosh Kumar
International Journal of Information Technology (2024)
Closed Access | Times Cited: 3
RAFBSD: An Efficient Detector for Accurate Identification of Defects in Photovoltaic Cells
Huilin Tan, Haibo Zhou, Chunmei Duan, et al.
IEEE Access (2024) Vol. 12, pp. 61512-61528
Open Access | Times Cited: 2
A Comprehensive Review of Artificial Intelligence Applications in the Photovoltaic Systems
Jiaming Hu, Boon-Han Lim, Xiaoyun Tian, et al.
CAAI Artificial Intelligence Research (2024), pp. 9150031-9150031
Open Access | Times Cited: 1
Drone-Assisted Infrared Thermography and Machine Learning for Enhanced Photovoltaic Defect Detection: A Comparative Study of Vision Transformers and YOLOv8
Ammar Memari, Tarek Debich
Lecture notes in computer science (2024), pp. 59-72
Closed Access
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