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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:

Deep learning regression-based stratified probabilistic combined cycle fatigue damage evaluation for turbine bladed disks
Xueqin Li, Lu-Kai Song, Guang-Chen Bai
International Journal of Fatigue (2022) Vol. 159, pp. 106812-106812
Closed Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Multivariate ensembles-based hierarchical linkage strategy for system reliability evaluation of aeroengine cooling blades
Xueqin Li, Lu-Kai Song, Yat Sze Choy, et al.
Aerospace Science and Technology (2023) Vol. 138, pp. 108325-108325
Closed Access | Times Cited: 50
Cascade ensemble learning for multi-level reliability evaluation
Lu-Kai Song, Xueqin Li, Shun‐Peng Zhu, et al.
Aerospace Science and Technology (2024) Vol. 148, pp. 109101-109101
Closed Access | Times Cited: 27
Physics-informed distributed modeling for CCF reliability evaluation of aeroengine rotor systems
Xueqin Li, Lu-Kai Song, Guang-Chen Bai, et al.
International Journal of Fatigue (2022) Vol. 167, pp. 107342-107342
Closed Access | Times Cited: 45
A Comprehensive Survey of Unmanned Aerial Vehicles Detection and Classification Using Machine Learning Approach: Challenges, Solutions, and Future Directions
Md Habibur Rahman, Mohammad Abrar Shakil Sejan, Md Abdul Aziz, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 879-879
Open Access | Times Cited: 8
Applications of data-driven approaches in prediction of fatigue and fracture
Sara Nasiri, Mohammad Reza Khosravani
Materials Today Communications (2022) Vol. 33, pp. 104437-104437
Closed Access | Times Cited: 35
Prediction method of non-stationary random vibration fatigue reliability of turbine runner blade based on transfer learning
Fuxiu Liu, Zhaojun Li, Minglang Liang, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109215-109215
Closed Access | Times Cited: 20
Multiaxial fatigue life prediction using physics-informed neural networks with sensitive features
GaoYuan He, Yongxiang Zhao, ChuLiang Yan
Engineering Fracture Mechanics (2023) Vol. 289, pp. 109456-109456
Closed Access | Times Cited: 19
Robust optimization design method for structural reliability based on active-learning MPA-BP neural network
Zhao Dong, Ziqiang Sheng, Yadong Zhao, et al.
International Journal of Structural Integrity (2023) Vol. 14, Iss. 2, pp. 248-266
Closed Access | Times Cited: 17
A probabilistic fatigue life prediction method under random combined high and low cycle fatigue load history
Song Bai, Tudi Huang, Yan‐Feng Li, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109452-109452
Closed Access | Times Cited: 17
A physics‐informed generative adversarial network framework for multiaxial fatigue life prediction
GaoYuan He, Yongxiang Zhao, ChuLiang Yan
Fatigue & Fracture of Engineering Materials & Structures (2023) Vol. 46, Iss. 10, pp. 4036-4052
Open Access | Times Cited: 16
Fusion of Deep Sort and Yolov5 for Effective Vehicle Detection and Tracking Scheme in Real-Time Traffic Management Sustainable System
Sunil Kumar, Sushil Kumar Singh, Sudeep Varshney, et al.
Sustainability (2023) Vol. 15, Iss. 24, pp. 16869-16869
Open Access | Times Cited: 16
Damage behavior and life prediction model of composite laminates under combined high and low cycle fatigue
Zhongyu Wang, Tao Zheng, Qi‐Zhen Shi, et al.
International Journal of Fatigue (2024) Vol. 183, pp. 108240-108240
Closed Access | Times Cited: 7
Active extremum Kriging-based multi-level linkage reliability analysis and its application in aeroengine mechanism systems
Hong Zhang, Lu-Kai Song, Guang-Chen Bai, et al.
Aerospace Science and Technology (2022) Vol. 131, pp. 107968-107968
Closed Access | Times Cited: 26
Creep-fatigue reliability assessment for high-temperature components fusing on-line monitoring data and physics-of-failure by engineering damage mechanics approach
Hang-Hang Gu, Run‐Zi Wang, Minjin Tang, et al.
International Journal of Fatigue (2022) Vol. 169, pp. 107481-107481
Closed Access | Times Cited: 25
Effect of surface stress concentration control and surface material strengthening on the fatigue performance of shot-peened single-crystal superalloy
Xin Wang, Chunling Xu, Aoshuang Zhai, et al.
Journal of Alloys and Compounds (2022) Vol. 933, pp. 167796-167796
Closed Access | Times Cited: 24
Improving Diesel Engine Reliability Using an Optimal Prognostic Model to Predict Diesel Engine Emissions and Performance Using Pure Diesel and Hydrogenated Vegetable Oil
Tadas Žvirblis, Jacek Hunicz, Jonas Matijošius, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2023) Vol. 25, Iss. 4
Open Access | Times Cited: 13
A novel neural network model considering cyclic loading condition for low-cycle fatigue life prediction
Hongguang Zhou, Ziming Wang, Yunpeng Zhao, et al.
International Journal of Fatigue (2025), pp. 108943-108943
Closed Access
Fatigue reliability analysis of aeroengine blade-disc systems using physics-informed ensemble learning
Xueqin Li, Lu-Kai Song, Yat Sze Choy, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2023) Vol. 381, Iss. 2260
Closed Access | Times Cited: 11
Deep neural network-based multiagent synergism method of probabilistic HCF evaluation for aircraft compressor rotor
Bowei Wang, Wenzhong Tang, Lu-Kai Song, et al.
International Journal of Fatigue (2023) Vol. 170, pp. 107510-107510
Closed Access | Times Cited: 10
A modified nonlinear cumulative damage model for combined high and low cycle fatigue life prediction
Peng Yue, He Li, Yan Dong, et al.
Fatigue & Fracture of Engineering Materials & Structures (2024) Vol. 47, Iss. 4, pp. 1300-1311
Closed Access | Times Cited: 3
Trajectory Planning and Simulation Study of Redundant Robotic Arm for Upper Limb Rehabilitation Based on Back Propagation Neural Network and Genetic Algorithm
Xiaohan Qie, Cunfeng Kang, Guanchen Zong, et al.
Sensors (2022) Vol. 22, Iss. 11, pp. 4071-4071
Open Access | Times Cited: 18
A probabilistic combined high and low cycle fatigue life prediction framework for the turbine shaft with random geometric parameters
Song Bai, Yan‐Feng Li, Hong‐Zhong Huang, et al.
International Journal of Fatigue (2022) Vol. 165, pp. 107218-107218
Closed Access | Times Cited: 17
Failure correlation evaluation for complex structural systems with cascaded synchronous regression
Xueqin Li, Lu-Kai Song, Guang-Chen Bai
Engineering Failure Analysis (2022) Vol. 141, pp. 106687-106687
Closed Access | Times Cited: 16
Etemadi regression in chemometrics: Reliability-based procedures for modeling and forecasting
Sepideh Etemadi, Mehdi Khashei
Heliyon (2024) Vol. 10, Iss. 5, pp. e26399-e26399
Open Access | Times Cited: 3
Customer Segmentation Using Machine Learning Model: An Application of RFM Analysis
Israa Lewaaelhamd
Journal of Data Science and Intelligent Systems (2023) Vol. 2, Iss. 1, pp. 29-36
Open Access | Times Cited: 8
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