On the public citation graph
A Comprehensive Study on the Role of Machine Learning in 5G Security: Challenges, Technologies, and Solutions
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metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is
labelled with the one it came from. Neither is a complete citation index — absence here is not
evidence of absence.
1 of the 123 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1007/s00500-019-04097-x (notice 2024-09-03).
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Retraction Watch data via Crossref Labs, used with credit; OpenCitations Index (CC0) and Meta (CC BY 4.0);
dataset doi:10.7910/DVN/WT8VOA (CC BY 4.0).
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s11235-016-0195-xopenalex-snapshotEvolution towards fifth generation (5G) wireless networks: Current trends and challenges in the deployment of millimetre wave, massive MIMO, and small cells
inferredcites →https://doi.org/10.1034/j.1399-0004.2002.620110.xopenalex-snapshotA comparison of combinatorial partitioning and linear regression for the detection of epistatic effects of theACE I/DandPAI‐1 4G/5Gpolymorphisms on plasma PAI‐1 levels
inferredcites →https://doi.org/10.3390/s21196346openalex-snapshotAn Efficient CNN-Based Deep Learning Model to Detect Malware Attacks (CNN-DMA) in 5G-IoT Healthcare Applications
inferredcites →https://doi.org/10.9781/ijimai.2021.03.004openalex-snapshotMachine Learning Classifier Approach with Gaussian Process, Ensemble boosted Trees, SVM, and Linear Regression for 5G Signal Coverage Mapping.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/eng2.70262openalex-snapshotFPGA ‐Based Design of Ultra‐Efficient Approximate Adders for High‐Fidelity Image Processing: A Logic‐Optimized Approach
inferred← citeshttps://doi.org/10.1109/isci65687.2025.11167572openalex-snapshotPerceptions and Adoption Acceptance of Artificial Intelligence Tools in the Telecommunications Sector: A Statistical Study on Network Analytics and Security
inferred← citeshttps://doi.org/10.3390/fi16070226openalex-snapshotEnhancing Network Slicing Security: Machine Learning, Software-Defined Networking, and Network Functions Virtualization-Driven Strategies
inferred← citeshttps://doi.org/10.3390/sym16070927openalex-snapshotNovel Hybrid Crayfish Optimization Algorithm and Self-Adaptive Differential Evolution for Solving Complex Optimization Problems
inferred← citeshttps://doi.org/10.52783/jes.2538openalex-snapshotDynamic Neural Network-Based Resource Allocation Framework for Latency-Aware and Energy-Efficient Optimization in Wireless Communication Systems
inferred← citeshttps://doi.org/10.62441/nano-ntp.vi.3561openalex-snapshotExploring the Next Frontier in Wireless Communication: 5G and Beyond for Enhanced Reliability and Low Latency in IoT and Autonomous Technologies
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