On the public citation graph
An effective stacked autoencoder based depth separable convolutional neural network model for face mask detection
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 21 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.7326/m20-1342 (notice 2020-06-02).
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known work and none has been retracted — and get a dated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/10.1111/ina.13070openalex-snapshotWhat were the historical reasons for the resistance to recognizing airborne transmission during the COVID ‐19 pandemic?
inferredcites →https://doi.org/10.3390/s20185236openalex-snapshotIdentifying Facemask-Wearing Condition Using Image Super-Resolution with Classification Network to Prevent COVID-19
inferredcites →https://doi.org/10.7326/m20-1342openalex-snapshotEffectiveness of Surgical and Cotton Masks in Blocking SARS–CoV-2: A Controlled Comparison in 4 Patients
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1109/ic2nc67409.2025.11376349openalex-snapshotLDS-DCDNet: Lightweight Depth-Wise Separable Dilated Convolutional Dropout Network for Efficient Covid-19 Recognition in Edge Computing-Enabled Healthcare Systems
inferred← citeshttps://doi.org/10.1186/s40537-026-01458-wopenalex-snapshotThe role of sports tourism in promoting talent cultivation in the tourism industry with research on the construction of evaluation models based on deep learning
inferred← citeshttps://doi.org/10.1515/biol-2022-0859openalex-snapshotUtilization of convolutional neural networks to analyze microscopic images for high-throughput screening of mesenchymal stem cells
inferred← citeshttps://doi.org/10.3390/computation13060130openalex-snapshotA Computational Methodology Based on Maximum Overlap Discrete Wavelet Transform and Autoencoders for Early Prediction of Sudden Cardiac Death
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.