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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:

Support vector machine with parameter optimization by a novel hybrid method and its application to fault diagnosis
Xiaoyuan Zhang, Qiu Dao-yin, Chen Fu-an
Neurocomputing (2014) Vol. 149, pp. 641-651
Closed Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

A novel optimized SVM classification algorithm with multi-domain feature and its application to fault diagnosis of rolling bearing
Xiaoan Yan, Minping Jia
Neurocomputing (2018) Vol. 313, pp. 47-64
Closed Access | Times Cited: 434
An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis
Shaobo Li, Guokai Liu, Xianghong Tang, et al.
Sensors (2017) Vol. 17, Iss. 8, pp. 1729-1729
Open Access | Times Cited: 195
Speed up grid-search for parameter selection of support vector machines
Hatem A. Fayed, Amir F. Atiya
Applied Soft Computing (2019) Vol. 80, pp. 202-210
Closed Access | Times Cited: 165
Rolling Bearing Fault Diagnosis Using Modified LFDA and EMD With Sensitive Feature Selection
Xiao Yu, Fei Dong, Enjie Ding, et al.
IEEE Access (2017) Vol. 6, pp. 3715-3730
Open Access | Times Cited: 139
Gear fault diagnosis based on support vector machine optimized by artificial bee colony algorithm
Dalian Yang, Yilun Liu, Songbai Li, et al.
Mechanism and Machine Theory (2015) Vol. 90, pp. 219-229
Closed Access | Times Cited: 129
Dempster-Shafer evidence theory for multi-bearing faults diagnosis
Kar Hoou Hui, Meng Hee Lim, M. Salman Leong, et al.
Engineering Applications of Artificial Intelligence (2016) Vol. 57, pp. 160-170
Closed Access | Times Cited: 99
A new subset based deep feature learning method for intelligent fault diagnosis of bearing
Yuyan Zhang, Xinyu Li, Liang Gao, et al.
Expert Systems with Applications (2018) Vol. 110, pp. 125-142
Closed Access | Times Cited: 87
ITGO: Invasive tumor growth optimization algorithm
Deyu Tang, Shoubin Dong, Yi Jiang, et al.
Applied Soft Computing (2015) Vol. 36, pp. 670-698
Closed Access | Times Cited: 71
A new hybrid approach for feature selection and support vector machine model selection based on self-adaptive cohort intelligence
Mohammed Aladeemy, Salih Tutun, Mohammad T. Khasawneh
Expert Systems with Applications (2017) Vol. 88, pp. 118-131
Closed Access | Times Cited: 65
Differential evolution algorithm with multi-population cooperation and multi-strategy integration
Xiaoyu Li, Lei Wang, Qiaoyong Jiang, et al.
Neurocomputing (2020) Vol. 421, pp. 285-302
Closed Access | Times Cited: 62
Prognostics and Health Management in Nuclear Power Plants: An Updated Method-Centric Review With Special Focus on Data-Driven Methods
Xingang Zhao, Junyung Kim, Kyle Warns, et al.
Frontiers in Energy Research (2021) Vol. 9
Open Access | Times Cited: 47
SVM bearing fault diagnosis based on fast inter-class distance in the feature space and DMPSO algorithm
Renwang Song, Baiqian Yu, Lei Yang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 055125-055125
Closed Access | Times Cited: 5
zSlices-Based General Type-2 Fuzzy Fusion of Support Vector Machines With Application to Bearing Fault Detection
Hossein Hassani, Jafar Zarei, Mohammad Mehdi Arefi, et al.
IEEE Transactions on Industrial Electronics (2017) Vol. 64, Iss. 9, pp. 7210-7217
Closed Access | Times Cited: 53
A Novel Characteristic Frequency Bands Extraction Method for Automatic Bearing Fault Diagnosis Based on Hilbert Huang Transform
Xiao Yu, Enjie Ding, Chunxu Chen, et al.
Sensors (2015) Vol. 15, Iss. 11, pp. 27869-27893
Open Access | Times Cited: 51
A Rolling Bearing Fault Diagnosis Method Based on EEMD-WSST Signal Reconstruction and Multi-Scale Entropy
Jianghua Ge, Tianyu Niu, Di Xu, et al.
Entropy (2020) Vol. 22, Iss. 3, pp. 290-290
Open Access | Times Cited: 46
A hybrid fault diagnosis method for rolling bearings based on GGRU-1DCNN with AdaBN algorithm under multiple load conditions
Lirong Sun, Xiaomin Zhu, Jiannan Xiao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076201-076201
Closed Access | Times Cited: 4
A lévy flight-based shuffled frog-leaping algorithm and its applications for continuous optimization problems
Deyu Tang, Jin Yang, Shoubin Dong, et al.
Applied Soft Computing (2016) Vol. 49, pp. 641-662
Closed Access | Times Cited: 44
SVM hyperparameters tuning for recursive multi-step-ahead prediction
Jie Liu, Enrico Zio
Neural Computing and Applications (2016) Vol. 28, Iss. 12, pp. 3749-3763
Open Access | Times Cited: 38
Least Square Fitting for Adaptive Wavelet Generation and Automatic Prediction of Defect Size in the Bearing Using Levenberg–Marquardt Backpropagation
Anil Kumar, Rajesh Kumar
Journal of Nondestructive Evaluation (2016) Vol. 36, Iss. 1
Closed Access | Times Cited: 38
Degradation state mining and identification for railway point machines
Chong Bian, Shunkun Yang, Tingting Huang, et al.
Reliability Engineering & System Safety (2019) Vol. 188, pp. 432-443
Open Access | Times Cited: 38
Linking Singular Spectrum Analysis and Machine Learning for Monthly Rainfall Forecasting
Pa Ousman Bojang, Tao-Chang Yang, Quoc Bao Pham, et al.
Applied Sciences (2020) Vol. 10, Iss. 9, pp. 3224-3224
Open Access | Times Cited: 36
Sparse learning based classification framework for planetary bearing health diagnostics
Yun Kong, Fulei Chu, Zhaoye Qin, et al.
Mechanism and Machine Theory (2022) Vol. 173, pp. 104852-104852
Closed Access | Times Cited: 19
A Dynamic Self-Attention-Based Fault Diagnosis Method for Belt Conveyor Idlers
Yi Liu, Changyun Miao, Xianguo Li, et al.
Machines (2023) Vol. 11, Iss. 2, pp. 216-216
Open Access | Times Cited: 12
Online Condition Monitoring of Bearings to Support Total Productive Maintenance in the Packaging Materials Industry
Jovan Gligorijevic, Dragoljub Gajić, Aleksandar Brković, et al.
Sensors (2016) Vol. 16, Iss. 3, pp. 316-316
Open Access | Times Cited: 34
DAMER: a novel diagnosis aggregation method with evidential reasoning rule for bearing fault diagnosis
Gang Wang, Feng Zhang, Bayi Cheng, et al.
Journal of Intelligent Manufacturing (2020) Vol. 32, Iss. 1, pp. 1-20
Closed Access | Times Cited: 31
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