On the public citation graph
An integrative survey on Indian sign language recognition and translation
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 129 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1007/s12652-020-02396-y (notice 2022-07-14).
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known work and none has been retracted — and get a dated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/10.1002/cpe.7653openalex-snapshotA review on computational methods based automated sign language recognition system for hearing and speech impaired community
inferredcites →https://doi.org/10.1016/j.neucom.2006.04.016openalex-snapshotLinguistic properties based on American Sign Language isolated word recognition with artificial neural networks using a sensory glove and motion tracker
inferredcites →https://doi.org/10.1109/aic55036.2022.9848930openalex-snapshotClassification Of Indian Sign Language Characters Utilizing Convolutional Neural Networks And Transfer Learning Models With Different Image Processing Techniques
inferredcites →https://doi.org/10.1109/iacc.2016.71openalex-snapshotOptical Flow Hand Tracking and Active Contour Hand Shape Features for Continuous Sign Language Recognition with Artificial Neural Networks
inferredcites →https://doi.org/10.1109/raics.2013.6745452openalex-snapshotDynamic gesture recognition of Indian sign language considering local motion of hand using spatial location of Key Maximum Curvature Points
inferredcites →https://doi.org/10.13176/11.626openalex-snapshotDynamic Hand Gesture Recognition for Sign Words and Novel Sentence Interpretation Algorithm for Indian Sign Language Using Microsoft Kinect Sensor
inferredcites →https://doi.org/10.3390/s18072208openalex-snapshotA Review on Systems-Based Sensory Gloves for Sign Language Recognition State of the Art between 2007 and 2017
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1038/s41598-026-38912-xopenalex-snapshotA dual-stream deep learning framework for continuous sign language recognition to enhance communication accessibility in the Ha’il region
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.