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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:

Design of Momentum Fractional Stochastic Gradient Descent for Recommender Systems
Zeshan Aslam Khan, Syed Zubair, Hani Alquhayz, et al.
IEEE Access (2019) Vol. 7, pp. 179575-179590
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

An innovative fractional order LMS algorithm for power signal parameter estimation
Naveed Ishtiaq Chaudhary, Rizwan Latif, Muhammad Asif Zahoor Raja, et al.
Applied Mathematical Modelling (2020) Vol. 83, pp. 703-718
Open Access | Times Cited: 51
A novel gradient descent optimizer based on fractional order scheduler and its application in deep neural networks
Guangyao Chen, Yangze Liang, Sihao Li, et al.
Applied Mathematical Modelling (2024) Vol. 128, pp. 26-57
Closed Access | Times Cited: 6
Enhanced fractional prediction scheme for effective matrix factorization in chaotic feedback recommender systems
Zeshan Aslam Khan, Naveed Ishtiaq Chaudhary, Taimoor Ali Khan, et al.
Chaos Solitons & Fractals (2023) Vol. 176, pp. 114109-114109
Closed Access | Times Cited: 11
Fractional Gradient Optimized Explainable Convolutional Neural Network for Alzheimer's Disease Diagnosis
Zeshan Aslam Khan, Muhammad Waqar, Naveed Ishtiaq Chaudhary, et al.
Heliyon (2024) Vol. 10, Iss. 20, pp. e39037-e39037
Open Access | Times Cited: 3
Brain-Computer Interface System Based on P300 Processing with Convolutional Neural Network, Novel Speller, and Low Number of Electrodes
Juan A. Ramírez-Quintana, Luis Madrid-Herrera, Mario I. Chacón-Murguía, et al.
Cognitive Computation (2020) Vol. 13, Iss. 1, pp. 108-124
Closed Access | Times Cited: 28
RETRACTED ARTICLE: Fractional boundary element solution of three-temperature thermoelectric problems
Mohamed Abdelsabour Fahmy, Mohammed M. Almehmadi, Fahad M. Al Subhi, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 17
Generalized fractional strategy for recommender systems with chaotic ratings behavior
Zeshan Aslam Khan, Naveed Ishtiaq Chaudhary, Muhammad Asif Zahoor Raja
Chaos Solitons & Fractals (2022) Vol. 160, pp. 112204-112204
Closed Access | Times Cited: 17
A Deep Learning Optimizer Based on Grünwald–Letnikov Fractional Order Definition
Xiaojun Zhou, Chunna Zhao, Yaqun Huang
Mathematics (2023) Vol. 11, Iss. 2, pp. 316-316
Open Access | Times Cited: 10
Recommendation System for a Delivery Food Application Based on Number of Orders
Claudia N. Sánchez, J. Domı́nguez, Alejandra Arreola, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2299-2299
Open Access | Times Cited: 9
Novel Fractional Swarming with Key Term Separation for Input Nonlinear Control Autoregressive Systems
Faisal Altaf, Ching-Lung Chang, Naveed Ishtiaq Chaudhary, et al.
Fractal and Fractional (2022) Vol. 6, Iss. 7, pp. 348-348
Open Access | Times Cited: 15
Radial Basis Function Neural Network Model for Dissolved Oxygen Concentration Prediction Based on an Enhanced Clustering Algorithm and Adam
Dashe Li, Xueying Wang, Jiajun Sun, et al.
IEEE Access (2021) Vol. 9, pp. 44521-44533
Open Access | Times Cited: 16
Fractional-Based Stochastic Gradient Algorithms for Time-Delayed ARX Models
Tianyang Xu, Jing Chen, Yan Pu, et al.
Circuits Systems and Signal Processing (2021) Vol. 41, Iss. 4, pp. 1895-1912
Closed Access | Times Cited: 13
TD-DNN: A Time Decay-Based Deep Neural Network for Recommendation System
Gourav Jain, Tripti Mahara, S. C. Sharma, et al.
Applied Sciences (2022) Vol. 12, Iss. 13, pp. 6398-6398
Open Access | Times Cited: 9
Generalized fractional optimization-based explainable lightweight CNN model for malaria disease classification
Zeshan Aslam Khan, Muhammad Waqar, Muhammad Junaid Ali Asif Raja, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109593-109593
Closed Access | Times Cited: 1
MISGD: Moving-Information-Based Stochastic Gradient Descent Paradigm for Personalized Fuzzy Recommender Systems
Zeshan Aslam Khan, Muhammad Asif Zahoor Raja, Naveed Ishtiaq Chaudhary, et al.
International Journal of Fuzzy Systems (2021) Vol. 24, Iss. 1, pp. 686-712
Closed Access | Times Cited: 10
Fractional-order gradient descent with momentum for RBF neural network-based AIS trajectory restoration
Han Xue
Soft Computing (2021) Vol. 25, Iss. 2, pp. 869-882
Closed Access | Times Cited: 6
Parameter Training Methods for Convolutional Neural Networks With Adaptive Adjustment Method Based on Borges Difference
Jing Jian, Zhe Gao, Tao Kan
IEEE Transactions on Signal Processing (2022) Vol. 70, pp. 673-685
Closed Access | Times Cited: 4
Metamaterials Design Method based on Deep learning Database
Xiaoshu Zhou, Qide Xiao, Han Wang
Journal of Physics Conference Series (2022) Vol. 2185, Iss. 1, pp. 012023-012023
Open Access | Times Cited: 4
Fractional Gradient Descent-Based Auxiliary Model Algorithm for FIR Models with Missing Data
Jia Tang
Complexity (2023) Vol. 2023, pp. 1-12
Open Access | Times Cited: 2
Estimation of Navigation Mark Floating Based on Fractional-Order Gradient Descent with Momentum for RBF Neural Network
Qionglin Fang
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 5
Normalized stochastic gradient descent learning of general complex‐valued models
Thomas Paireder, Christian Motz, Mario Huemer
Electronics Letters (2021) Vol. 57, Iss. 12, pp. 493-495
Open Access | Times Cited: 3
Balanced hierarchical max margin matrix factorization for recommendation system
Mahdi Ravakhah, Mehrdad Jalali, Yahya Forghani, et al.
Expert Systems (2021) Vol. 39, Iss. 4
Closed Access | Times Cited: 3
Text Categorization by Multi-instance Multi-label and Momentum Stochastic Gradient Descent Strategy
Xiang Bao, Guifeng Liu, Manrong Wang
(2020), pp. 1-4
Closed Access | Times Cited: 1
Sample-based online learning for bi-regular hinge loss
Wei Xue, Ping Zhong, Wensheng Zhang, et al.
International Journal of Machine Learning and Cybernetics (2021) Vol. 12, Iss. 6, pp. 1753-1768
Closed Access | Times Cited: 1
Momentum Adaption and Metalearning-Based DVR With Optimized Gains of Fractional-Order PID Controller
Prashant Kumar, Sabha Raj Arya, Khyati D. Mistry
IEEE Transactions on Aerospace and Electronic Systems (2023) Vol. 60, Iss. 2, pp. 1309-1318
Closed Access
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