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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:

Feature Selection Using a Neural Network With Group Lasso Regularization and Controlled Redundancy
Jian Wang, Huaqing Zhang, Junze Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 3, pp. 1110-1123
Closed Access | Times Cited: 96

Showing 26-50 of 96 citing articles:

Research on Medium-Term Forecast of the Solar Radiation Flux F10.7 Index
Zhanji Wei, Dianwei Cong, Yunxia Yin, et al.
2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) (2024), pp. 686-690
Closed Access | Times Cited: 1
Node Selection Algorithm for Federated Learning Based on Deep Reinforcement Learning for Edge Computing in IoT
Shuai Yan, Peiying Zhang, Siyu Huang, et al.
Electronics (2023) Vol. 12, Iss. 11, pp. 2478-2478
Open Access | Times Cited: 4
Convergence analysis of sparse TSK fuzzy systems based on spectral Dai-Yuan conjugate gradient and application to high-dimensional feature selection
Deqing Ji, Qinwei Fan, Qingmei Dong, et al.
Neural Networks (2024) Vol. 179, pp. 106599-106599
Closed Access | Times Cited: 1
Neural network input feature selection using structured l2 − norm penalization
Nathaniel Egwu, Thomas Mrziglod, Andreas Schuppert
Applied Intelligence (2022)
Open Access | Times Cited: 6
A Disentangled Representation Based Brain Image Fusion via Group Lasso Penalty
Anqi Wang, Xiaoqing Luo, Zhancheng Zhang, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 6
Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection
M. J. Jiménez-Navarro, M. Martínez-Ballesteros, Isabel Sofía Brito, et al.
Lecture notes in networks and systems (2022), pp. 557-566
Closed Access | Times Cited: 5
Double groups of gates based Takagi-Sugeno-Kang (DG-TSK) fuzzy system for simultaneous feature selection and rule extraction
Guangdong Xue, Jian Wang, Zhang Bingjie, et al.
Fuzzy Sets and Systems (2023) Vol. 469, pp. 108627-108627
Closed Access | Times Cited: 2
A Novel Learning Approach to Remove Oscillations in First‐Order Takagi–Sugeno Fuzzy System: Gradient Descent‐Based Neuro‐Fuzzy Algorithm Using Smoothing Group Lasso Regularization
Yan Liu, Rui Wang, Yuanquan Liu, et al.
Advanced Theory and Simulations (2023) Vol. 7, Iss. 2
Closed Access | Times Cited: 2
Comparative Study for Optimized Deep Learning-Based Road Accidents Severity Prediction Models
Hussam Hijazi, Karim Sattar, Hassan M. Al-Ahmadi, et al.
Arabian Journal for Science and Engineering (2023) Vol. 49, Iss. 4, pp. 5853-5873
Closed Access | Times Cited: 2
Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution Imaging
Jan Christian Hauffen, Linh Kästner, Samim Ahmadi, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5533-5533
Open Access | Times Cited: 4
Batch Gradient Training Method with Smoothing Group $$L_0$$ Regularization for Feedfoward Neural Networks
Ying Zhang, Jianing Wei, Dongpo Xu, et al.
Neural Processing Letters (2022) Vol. 55, Iss. 2, pp. 1663-1679
Closed Access | Times Cited: 3
Establishment and validation of a heart failure risk prediction model for elderly patients after coronary rotational atherectomy based on machine learning
Lixiang Zhang, Xiaojuan Zhou, Jiaoyu Cao
PeerJ (2024) Vol. 12, pp. e16867-e16867
Open Access
Exploring relevant factors of cognitive impairment in the elderly Chinese population using Lasso regression and Bayesian networks
Qiao Chen, Tianyi Zhou, Cong Zhang, et al.
Heliyon (2024) Vol. 10, Iss. 5, pp. e27069-e27069
Open Access
An Information Transmission Method of Data-Driven Frequency Hopping OFDM for IoV
Fan Zhou, Lin Wang, Menɡ Ninɡ, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 22, pp. 35852-35863
Closed Access
Short Term Forecast of the F10.7 Solar Flux Index based on Neural Networks
Zhanji Wei, Lifeng Li, Dianwei Cong, et al.
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) (2024), pp. 1227-1230
Closed Access
Stochastic configuration networks with group lasso regularization
Yang Wang, Guanci Yang, Chenglong Zhang, et al.
Information Sciences (2024) Vol. 677, pp. 120860-120860
Closed Access
A Machine Learning Model for the Prediction of COVID-19 Severity Using RNA-Seq, Clinical, and Co-Morbidity Data
Sahil Sethi, Sushil Kumar Shakyawar, Athreya S. Reddy, et al.
Diagnostics (2024) Vol. 14, Iss. 12, pp. 1284-1284
Open Access
Decomposition Method for Decomposition of Renewable Energy Consumption Responsibility Weights for Distinguishing User Subjects
Xuejun Li, Zhuxiu Wang, Yongcheng Liu, et al.
2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) (2024), pp. 34-40
Closed Access
Renewable energy consumption accounting system based on energy block
Xuejun Li, Qian Yang, Xinying Wang, et al.
2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) (2024), pp. 27-33
Closed Access
Safe dynamic sparse training of modified RBF networks for joint feature selection and classification
Xusheng Qian, Jisu Hu, Yi Zheng, et al.
Neurocomputing (2024) Vol. 600, pp. 128150-128150
Closed Access
Generative adversarial imitation learning assisted virtual network embedding algorithm for space-air-ground integrated network
Peiying Zhang, Ziyu Xu, Neeraj Kumar, et al.
Computer Communications (2024) Vol. 228, pp. 107936-107936
Closed Access
Strategic Feature Selection Techniques for E-Commerce Application and Data Protection in AI and ML
Vipin Kumar, Mohammad Suleman Quraishi, Vipin Kumar Chaudhary
Advances in electronic commerce (AEC) book series/Advances in electronic commerce series (2024), pp. 345-370
Closed Access
Group-feature (Sensor) selection with controlled redundancy using neural networks
Aytijhya Saha, Nikhil R. Pal
Neurocomputing (2024) Vol. 610, pp. 128596-128596
Closed Access
Weakly supervised multi-label feature selection based on shared subspace
Ruizi Shi, Anhui Tan, Suwei Shi, et al.
International Journal of Machine Learning and Cybernetics (2024)
Closed Access
Weighted Fuzzy C-Means: Unsupervised Feature Selection to Realize a Target Partition
Kaushik Sarkar, Rajani K. Mudi, Nikhil R. Pal
International Journal of Uncertainty Fuzziness and Knowledge-Based Systems (2024) Vol. 32, Iss. 08, pp. 1111-1134
Closed Access

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