On the public citation graph
Real-Time Face Mask Detection Method Based on YOLOv3
Inferred edges come from two machine sources: sweeps of open repository
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 42 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1016/j.eng.2020.03.007 (notice 2020-04-01).
Dataset join, best-effort; this page does not check the publisher record.
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).
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated
CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.32604/cmes.2020.011663openalex-snapshotValidating the CorrectWearing of Protection Mask by Taking a Selfie: Design of a Mobile Application “CheckYourMask” to Limit the Spread of COVID-19
inferredcites →https://doi.org/10.36227/techrxiv.12355970openalex-snapshotValidating the correct wearing of protection mask by taking a selfie: design of a mobile application "CheckYourMask'' to limit the spread of COVID-19
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1109/access.2021.3133446openalex-snapshotIntegrated Single Shot Multi-Box Detector and Efficient Pre-Trained Deep Convolutional Neural Network for Partially Occluded Face Recognition System
inferred← citeshttps://doi.org/10.1142/s0219691325500201openalex-snapshotHybrid Optimization-based Remodel-Generative Adversarial Network for Face Detection and Reconstruction of Face Region Behind Face Mask
inferred← citeshttps://doi.org/10.3390/healthcare10030454openalex-snapshotIntelligent IoT (IIoT) Device to Identifying Suspected COVID-19 Infections Using Sensor Fusion Algorithm and Real-Time Mask Detection Based on the Enhanced MobileNetV2 Model
inferred← citeshttps://doi.org/10.3390/make8040102openalex-snapshotLightweight Deep Learning Models for Face Mask Detection in Real-Time Edge Environments: A Review and Future Research Directions
inferred← citeshttps://doi.org/10.3390/s23031596openalex-snapshotFace Mask Identification Using Spatial and Frequency Features in Depth Image from Time-of-Flight Camera
inferred← citeshttps://doi.org/10.3390/s23167193openalex-snapshotIoT Solutions and AI-Based Frameworks for Masked-Face and Face Recognition to Fight the COVID-19 Pandemic
inferred← citeshttps://doi.org/10.7736/jkspe.023.149openalex-snapshotFace Mask Recognition AI-algorithm with MobileNetV2-based Neural Network for Automatic Door Control in Intensive Care Unit (ICU)
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID:
icsacinstitute.org/submit.