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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:

Incremental Neural-Network Learning for Big Fraud Data
Farzana Anowar, Samira Sadaoui
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2020), pp. 3551-3557
Closed Access | Times Cited: 20

Showing 20 citing articles:

Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE)
Farzana Anowar, Samira Sadaoui, Bassant Selim
Computer Science Review (2021) Vol. 40, pp. 100378-100378
Closed Access | Times Cited: 572
A Federated Learning Framework Based on Incremental Weighting and Diversity Selection for Internet of Vehicles
Lei Yuan, Shir Li Wang, Minghui Zhong, et al.
Electronics (2022) Vol. 11, Iss. 22, pp. 3668-3668
Open Access | Times Cited: 16
Dimensionality Reduction: Challenges and Solutions
Noor Ahmad, Ali Bou Nassif
ITM Web of Conferences (2022) Vol. 43, pp. 01017-01017
Open Access | Times Cited: 14
Dimensionality Reduction Algorithms in Machine Learning: A Theoretical and Experimental Comparison
Ashish Kumar Rastogi, Swapnesh Taterh, B. Suresh Kumar
(2023), pp. 82-82
Open Access | Times Cited: 5
A Comparative Analysis of SHAP, LIME, ANCHORS, and DICE for Interpreting a Dense Neural Network in Credit Card Fraud Detection
Bujar Raufi, Ciaran Finnegan, Luca Longo
Communications in computer and information science (2024), pp. 365-383
Closed Access | Times Cited: 1
A Transfer Learning Approach for Face Recognition Using Average Pooling and MobileNetV2
F. M. Javed Mehedi Shamrat, Sovon Chakraborty, Md. Shakil Moharram, et al.
Lecture notes on data engineering and communications technologies (2022), pp. 531-541
Closed Access | Times Cited: 4
AERed: An Autoencoder–Decoder Dimensionality Reduction Method for Wearable-Based Human Activity Recognition
Anjali Anjali, Hong‐Ning Dai, Jitendra Kumar, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 23, pp. 29804-29814
Closed Access | Times Cited: 2
Robust Credit Card Fraud Detection Based on Efficient Kolmogorov-Arnold Network Models
Thi-Thu-Huong Le, Yeonsang Hwang, Hyoeun Kang, et al.
IEEE Access (2024) Vol. 12, pp. 157006-157020
Open Access
Cuando la física y la inteligencia artificial se unen para modelar fluidos
Zoila Sánchez López, G.B. Diaz Cortes, Galileo Domínguez Zacarías
(2024), Iss. 41, pp. 63-70
Closed Access
Profiling Money Laundering with Neural Networks: a Case Study on Environmental Crime Detection
Roxane Desrousseaux, Gilles Bernard, Jean-Jacques Mariage
2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI) (2021), pp. 364-369
Closed Access | Times Cited: 4
Singular value decomposition and applications in data processing and artificial intelligence
Thanh-Xuan Cao Thi
HPU2 Journal of Science Natural Sciences and Technology (2023) Vol. 2, Iss. 3, pp. 34-41
Open Access | Times Cited: 1
Predicting Financial Suspicious Activity Reports with Online Learning Methods
Roxane Desrousseaux, Gilles Bernard, Jean-Jacques Mariage
2021 IEEE International Conference on Big Data (Big Data) (2021), pp. 1595-1603
Closed Access | Times Cited: 3
Chunk-based incremental feature learning for credit-card fraud data stream
Armin Sadreddin, Samira Sadaoui
Journal of Experimental & Theoretical Artificial Intelligence (2022) Vol. 36, Iss. 8, pp. 1447-1465
Closed Access | Times Cited: 2
Training and Testing Cascades for Imbalanced Data Classification
Armin Sadreddin, Samira Sadaoui
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2022)
Closed Access | Times Cited: 2
Incremental Learning with Self-labeling of Incoming High-dimensional Data
Farzana Anowar, Samira Sadaoui
(2021)
Open Access | Times Cited: 1
Practices of Artificial Intelligence (Ai) to Improve the Business in Bangladesh
Md. Touhidul Islam
(2023)
Closed Access
Performance Analysis of Dimensionality Reduction Techniques for Datasets using Deep Learning
Priya Vij, Dalip Kamboj
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023)
Closed Access
Dimensionality Reduction of Service Monitoring Time-Series: An Industrial Use Case
Farzana Anowar, Samira Sadaoui, Hardik Dalal
SN Computer Science (2022) Vol. 4, Iss. 1
Closed Access
A survey report of different technique or component for dimensionality reduction in data science
Devi Sangeeta, Munish Saran, Kumar Yadav Rajan, et al.
i-manager’s Journal on Software Engineering (2022) Vol. 17, Iss. 1, pp. 38-38
Closed Access
Incremental Feature Learning For Infinite Data.
Armin Sadreddin, Samira Sadaoui
arXiv (Cornell University) (2021)
Closed Access
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