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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 Glass Insulators Using Deep Neural Networks Based on Optical Imaging
Jinyu Wang, Yingna Li, Wen-Xiang Chen
Remote Sensing (2022) Vol. 14, Iss. 20, pp. 5153-5153
Open Access | Times Cited: 11

Showing 11 citing articles:

Summary of insulator defect detection based on deep learning
Jun Liu, MD Mingjun Hu, JunYuan Dong, et al.
Electric Power Systems Research (2023) Vol. 224, pp. 109688-109688
Closed Access | Times Cited: 36
IL-YOLO: An Efficient Detection Algorithm for Insulator Defects in Complex Backgrounds of Transmission Lines
Qiang Zhang, Jianing Zhang, Ying Wai Li, et al.
IEEE Access (2024) Vol. 12, pp. 14532-14546
Open Access | Times Cited: 13
RSIn-Dataset: An UAV-Based Insulator Detection Aerial Images Dataset and Benchmark
Feng Shuang, Sheng Han, Yong Li, et al.
Drones (2023) Vol. 7, Iss. 2, pp. 125-125
Open Access | Times Cited: 13
An adaptive dual-weighted feature network for insulator detection in transmission lines
Jie Zhang, Xiabing Wang, Yanbing Li, et al.
Neural Computing and Applications (2025)
Closed Access
Insulator Defect Detection via a Residual Denoising Diffusion Mechanism
Li Zhang, Meng Song, Huaping Guo, et al.
Materials (2025) Vol. 18, Iss. 8, pp. 1738-1738
Open Access
Insulator Defect Detection Based on ML-YOLOv5 Algorithm
Tong Wang, Yidi Zhai, Yuhang Li, et al.
Sensors (2023) Vol. 24, Iss. 1, pp. 204-204
Open Access | Times Cited: 9
CACS-YOLO: A Lightweight Model for Insulator Defect Detection based on Improved YOLOv8m
Zhong Cao, Kaihong Chen, Junzuo Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 3
Insulator detection based on FA‐YOLO network with improved feature extraction ability
Yixiao Jing, Tao Huang, Linfeng Gao, et al.
IET Image Processing (2024) Vol. 18, Iss. 12, pp. 3600-3616
Open Access | Times Cited: 1
Application of End-to-End Perception Framework Based on Boosted DETR in UAV Inspection of Overhead Transmission Lines
Jinyu Wang, Lijun Jin, Yingna Li, et al.
Drones (2024) Vol. 8, Iss. 10, pp. 545-545
Open Access | Times Cited: 1
Insulator Detection for High-Resolution Satellite Images Based on Deep Learning
Fangrong Zhou, Weishi Jin, Zezhong Zheng, et al.
IEEE Geoscience and Remote Sensing Letters (2023) Vol. 20, pp. 1-5
Closed Access | Times Cited: 3
Analysis of the Cause of Self-explosion of Glass Insulator of ± 800kV UHVDC Line
Jinpeng Xie, Suhui Zhang, Jun Li, et al.
Lecture notes in electrical engineering (2024), pp. 738-745
Closed Access
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