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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:

A cumulative descriptor enhanced ensemble deep neural networks method for remaining useful life prediction of cutting tools
Xuandong Mo, Teng Wang, Yahui Zhang, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102094-102094
Closed Access | Times Cited: 14

Showing 14 citing articles:

The LPST-Net: A new deep interval health monitoring and prediction framework for bearing-rotor systems under complex operating conditions
Tongguang Yang, Guanchen Li, Kaitai Li, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102558-102558
Closed Access | Times Cited: 16
Tool wear state recognition and prediction method based on laplacian eigenmap with ensemble learning model
Yang Xie, Shangshang Gao, Chaoyong Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102382-102382
Closed Access | Times Cited: 15
A hybrid fault diagnosis scheme for milling tools using MWN-CBAM-PatchTST network with acoustic emission signals
Junyu Guo, Hongyun Luo, Yongming Xing, et al.
Nondestructive Testing And Evaluation (2025), pp. 1-29
Closed Access | Times Cited: 1
Advancing RUL prediction in mechanical systems: A hybrid deep learning approach utilizing non-full lifecycle data
Tianjiao Lin, Liuyang Song, Lingli Cui, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102524-102524
Closed Access | Times Cited: 6
Deep-learning-driven intelligent tool wear identification of high-precision machining with multi-scale CNN-BiLSTM-GCN
Zhicheng Xu, Baolong Zhang, Louis Luo Fan, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103234-103234
Closed Access
A modeling method of wide random forest multi-output soft sensor with attention mechanism for quality prediction of complex industrial processes
Yin Wan, Ding Liu, Jun-Chao Ren
Advanced Engineering Informatics (2023) Vol. 59, pp. 102255-102255
Closed Access | Times Cited: 14
A process knowledge-based hybrid method for univariate time series prediction with uncertain inputs in process industry
Linjin Sun, Yangjian Ji, Qixuan Li, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102438-102438
Closed Access | Times Cited: 4
Towards unified aleatory and epistemic uncertainty quantification for machinery health prognostic through sequential heteroscedastic Gaussian process regression
Tao Liang, Fuli Wang, Shu Wang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102719-102719
Closed Access | Times Cited: 4
Artificial intelligence and its relevance in mechanical engineering from Industry 4.0 perspective
P. K. Ambadekar, Sarita Ambadekar, Chandrashekhar Choudhari, et al.
Australian Journal of Mechanical Engineering (2023), pp. 1-21
Closed Access | Times Cited: 7
E-YQP: A self-adaptive end-to-end framework for quality prediction in yarn spinning manufacturing
Menglei Wang, Jingan Wang, Weidong Gao, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102623-102623
Closed Access | Times Cited: 2
Data-Driven Feature Extraction-Transformer: A Hybrid Fault Diagnosis Scheme Utilizing Acoustic Emission Signals
Chenggong Ma, Jiuyang Gao, Zhenggang Wang, et al.
Processes (2024) Vol. 12, Iss. 10, pp. 2094-2094
Open Access | Times Cited: 2
Creep–fatigue life prediction of a titanium alloy deep-sea submersible using a continuum damage mechanics-informed BP neural network model
Yuhao Guo, Shichao Wang, Gang Liu
Ocean Engineering (2024) Vol. 311, pp. 118826-118826
Closed Access | Times Cited: 1
Extending Cutting Tool Remaining Life through Deep Learning and Laser Shock Peening Remanufacturing Techniques
Yuchen Liang, Yuqi Wang, Jinzhong Lu
Journal of Cleaner Production (2024) Vol. 477, pp. 143876-143876
Closed Access | Times Cited: 1
Remaining useful life prediction for machinery using multimodal interactive attention spatial–temporal networks with deep ensembles
Yuanyuan Zhou, Hang Wang, Huaiwang Jin, et al.
Expert Systems with Applications (2024), pp. 125808-125808
Closed Access
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