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 novel exponential degradation approach for predicting the remaining useful life of roadheader bearings
Qiang Liu, Songyong Liu, Qianjin Dai, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 3, pp. 035114-035114
Closed Access | Times Cited: 7

Showing 7 citing articles:

Predicting EV battery state of health using long short term degradation feature extraction and FEA TimeMixer
Weijie Tang, Jiayan Chen, Dongjiao Chen
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Compensation control for roadheader’s pitch and yaw position pose deviation based on cutting boom motion
Deyi Zhang, Songyong Liu, Li Shihang, et al.
Tunnelling and Underground Space Technology (2024) Vol. 150, pp. 105839-105839
Closed Access | Times Cited: 2

Remaining useful life prediction for bearing of an air turbine starter using a novel end-to-end network
Runxia Guo, JI Yu-bin
Measurement Science and Technology (2023) Vol. 34, Iss. 6, pp. 065109-065109
Closed Access | Times Cited: 6

Fault Diagnosis Method of Roadheader Bearing Based on VMD and Domain Adaptive Transfer Learning
Xiaofei Qu, Yongkang Zhang
Sensors (2023) Vol. 23, Iss. 11, pp. 5134-5134
Open Access | Times Cited: 2

A Novel Unsupervised Adaptive Density- Based Clustering Filter for Remaining Useful Life Prediction of Bearings
Wei Wang, Gongbo Zhou, Zhenzhi He, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 126121-126121
Closed Access

Fault Prognostics for Machinery with Multi-Degradation Stage Based on Deep Residual Network and Multi-Task Learning
Mingxian Wang, Langfu Cui, Jiahe Jiang, et al.
2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS) (2023), pp. 1-5
Closed Access

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