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:

A quantitative identification method based on CWT and CNN for external and inner broken wires of steel wire ropes
Yiqing Zhang, Zesen Feng, Sui Shi, et al.
Heliyon (2022) Vol. 8, Iss. 11, pp. e11623-e11623
Open Access | Times Cited: 14

Showing 14 citing articles:

Accurate wire rope defect MFL detection using improved Hilbert transform and LSTM neural network
Shiwei Liu, Xia Hua, Yong Liu, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-30
Closed Access | Times Cited: 10

Research on quantitative identification method for wire rope wire breakage damage signals based on multi-decomposition information fusion
Hongyao Wang, Honglin Zheng, Jie Tian, et al.
Journal of Safety and Sustainability (2024) Vol. 1, Iss. 2, pp. 89-97
Open Access | Times Cited: 6

Quantitative identification of wire rope core conveyor belt damage based on GWO-BP
Guoxin Sun, Xinpeng Du, Jianlong Zhang, et al.
International Journal on Smart Sensing and Intelligent Systems (2025) Vol. 18, Iss. 1
Open Access

Detection of Surface Damage on Steel Wire Ropes Based on Improved U-Net
Jilin Wei, Juwei Zhang, Hongli Wang
Journal of Failure Analysis and Prevention (2025)
Closed Access

An End-to-End Quantitative Identification Method for Mining Wire Rope Damage Based on Time Series Classification and Deep Learning
Chun Zhao, Jie Tian, Hongyao Wang, et al.
Journal of Nondestructive Evaluation (2025) Vol. 44, Iss. 1
Closed Access

Research on Intelligent Identification Algorithm for Steel Wire Rope Damage Based on Residual Network
Jialin Han, Yiqing Zhang, Zesen Feng, et al.
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3753-3753
Open Access | Times Cited: 4

Damage identification for mining wire rope based on continuous wavelet transform and convolutional neural network
Jie Tian, Chun Zhao, Hongyao Wang
Nondestructive Testing And Evaluation (2024), pp. 1-23
Closed Access | Times Cited: 2

Quantitative Detection of Local Flaw Under the Lift-Off Effect for Steel Wire Ropes
Leilei Yang, Zhiliang Liu, Liyuan Ren, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 16, pp. 26081-26090
Closed Access | Times Cited: 1

A New Defect Diagnosis Method for Wire Rope Based on CNN-Transformer and Transfer Learning
Mingyuan Wang, Jishun Li, Yujun Xue
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 7069-7069
Open Access | Times Cited: 3

Enhancing the acoustic emission technique using fuzzy artificial bee colony-based deep learning for characterizing selective laser melted AlSi10Mg specimens
Claudia Barile, Caterina Casavola, Dany Katamba Mpoyi, et al.
International Journal of Damage Mechanics (2024) Vol. 33, Iss. 8, pp. 639-669
Closed Access

An efficient treatment method of scrap intelligent rating based on machine vision
Wenguang Xu, Pengcheng Xiao, Liguang Zhu, et al.
Applied Intelligence (2024)
Closed Access

Circulation pump bearing fault diagnosis research based on BAM-CNN model and CWT processing time-frequency map
Lei Zheng, Hui Yi
2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS) (2023), pp. 1-7
Closed Access

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