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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:

Hierarchical multi-class classification in multimodal spacecraft data using DNN and weighted support vector machine
Ke Li, Yalei Wu, Nan Yu, et al.
Neurocomputing (2017) Vol. 259, pp. 55-65
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Context Deep Neural Network Model for Predicting Depression Risk Using Multiple Regression
Ji-Won Baek, Kyungyong Chung
IEEE Access (2020) Vol. 8, pp. 18171-18181
Open Access | Times Cited: 83
Prediction of the remaining useful life of cutting tool using the Hurst exponent and CNN-LSTM
Xiaoyang Zhang, Xin Lu, Weidong Li, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 112, Iss. 7-8, pp. 2277-2299
Closed Access | Times Cited: 59
A novel extreme learning Machine-based Hammerstein-Wiener model for complex nonlinear industrial processes
Kangkang Xu, Haidong Yang, Chengjiu Zhu
Neurocomputing (2019) Vol. 358, pp. 246-254
Closed Access | Times Cited: 47
Collaborative and geometric multi-kernel learning for multi-class classification
Zhe Wang, Zonghai Zhu, Dongdong Li
Pattern Recognition (2019) Vol. 99, pp. 107050-107050
Closed Access | Times Cited: 41
Adaptive deep dynamic programming for integrated frequency control of multi-area multi-microgrid systems
Linfei Yin, Tao Yu, Bo Yang, et al.
Neurocomputing (2019) Vol. 344, pp. 49-60
Closed Access | Times Cited: 40
Intelligent Fault Quantitative Identification for Industrial Internet of Things (IIoT) via a Novel Deep Dual Reinforcement Learning Model Accompanied With Insufficient Samples
Yuanhong Chang, Jinglong Chen, Wen‐Yang Wu, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 20, pp. 19811-19822
Closed Access | Times Cited: 19
Modeling Hourly Soil Temperature Using Deep BiLSTM Neural Network
Cong Li, Yaonan Zhang, Ren Xu-peng
Algorithms (2020) Vol. 13, Iss. 7, pp. 173-173
Open Access | Times Cited: 30
Robustness of AI-based prognostic and systems health management
Samir Khan, Seiji Tsutsumi, Takehisa Yairi, et al.
Annual Reviews in Control (2021) Vol. 51, pp. 130-152
Closed Access | Times Cited: 26
Network Anomaly Traffic Detection Algorithm Based on SVM
Lei Yang
(2017), pp. 217-220
Closed Access | Times Cited: 27
Prediction of metasurface spectral response based on a deep neural network
Ying Chen, Zhixin Ding, Jiankun Wang, et al.
Optics Letters (2022) Vol. 47, Iss. 19, pp. 5092-5092
Closed Access | Times Cited: 10
Relief Feature Selection and Parameter Optimization for Support Vector Machine based on Mixed Kernel Function
Wei Zhang
International Journal of Performability Engineering (2018)
Open Access | Times Cited: 18
Intelligent active fault-tolerant system for multi-source integrated navigation system based on deep neural network
Chengjun Guo, Feng Li, Tian Zhong, et al.
Neural Computing and Applications (2019) Vol. 32, Iss. 22, pp. 16857-16874
Closed Access | Times Cited: 17
Parameter Matching, Optimization, and Classification of Hybrid Electric Emergency Rescue Vehicles Based on Support Vector Machines
Philip K. Agyeman, Gangfeng Tan, Frimpong J. Alex, et al.
Energies (2022) Vol. 15, Iss. 19, pp. 7071-7071
Open Access | Times Cited: 8
A Machine Learning Approach to Enhance the Performance of D2D-Enabled Clustered Networks
Saad Aslam, Fakhrul Alam, Syed Faraz Hasan, et al.
IEEE Access (2021) Vol. 9, pp. 16114-16132
Open Access | Times Cited: 10
Ramp loss for twin multi-class support vector classification
Huiru Wang, Sijie Lu, Zhijian Zhou
International Journal of Systems Science (2020) Vol. 51, Iss. 8, pp. 1448-1463
Closed Access | Times Cited: 10
A data classification method based on particle swarm optimisation and kernel function extreme learning machine
Ao Liu, Dongning Zhao, Tingjun Li
Enterprise Information Systems (2021) Vol. 17, Iss. 3
Closed Access | Times Cited: 8
MRD-Nets: Multi-Scale Residual Networks With Dilated Convolutions for Classification and Clustering Analysis of Spacecraft Electrical Signal
Yixin Liu, Ke Li, Yuxiang Zhang, et al.
IEEE Access (2019) Vol. 7, pp. 171584-171597
Open Access | Times Cited: 8
Improved Convolutional Neural Network Based on Multi-head Attention Mechanism for Industrial Process Fault Classification
Wenzhi Cui, Xiaogang Deng, Zheng Zhang
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2020), pp. 918-922
Closed Access | Times Cited: 7
Aircraft Engine Bleed Valve Prognostics Using Multiclass Gated Recurrent Unit
Márcia Baptista, Helmut Prendinger
Aerospace (2023) Vol. 10, Iss. 4, pp. 354-354
Open Access | Times Cited: 2
Dynamic modeling of Boiler drum using nonlinear system identification approach
A Sumalatha, K. Sudha Rani, C. Jayalakshmi
Measurement Sensors (2023) Vol. 28, pp. 100845-100845
Open Access | Times Cited: 2
SVM-Based Real-Time Identification Model of Dangerous Traffic Stream State
Ming Huang
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 4
A novel monitor for practical brain-computer interface applications based on visual evoked potential
Hamidreza Maymandi, Jorge Luis Perez Benitez, Francisco J. Gallegos‐Funes, et al.
Brain-Computer Interfaces (2021) Vol. 8, Iss. 1-2, pp. 1-13
Closed Access | Times Cited: 5
The Deep Belief and Self-Organizing Neural Network as a Semi-Supervised Classification Method for Hyperspectral Data
Wei Lan, Qingjian Li, Nan Yu, et al.
Applied Sciences (2017) Vol. 7, Iss. 12, pp. 1212-1212
Open Access | Times Cited: 4
Interclass Interference Suppression in Multi-Class Problems
Jinfu Liu, Mingliang Bai, Na Jiang, et al.
Applied Sciences (2021) Vol. 11, Iss. 1, pp. 450-450
Open Access | Times Cited: 4
Top-Selling Product Sales Prediction in Cross-Border Fast Fashion: A Novel Robust Feature-Extracted Attention-Based Deep Learning Approach
Guofang Nan, Caiyan Huang, Jian Luo, et al.
SSRN Electronic Journal (2024)
Closed Access
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