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Shiplu Das

ResearcherPublications, citations & collaboration network

Shiplu Das is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 22 works, 132 citations, an h-index of 3 and an i10-index of 2.

22
Works
132
Citations
3
h-index
2
i10-index

How has Shiplu Das's publication output changed over time?

ScholarIQpublication output · 2022–2025

Output grew300% over the shown period — from 1 works in 2022 to 4 in 2025.

1
4
2
4
2022202320242025

What are the most-cited papers on Shiplu Das?

ScholarIQmost cited works
An AI-Assisted Smart Healthcare System Using 5G Communication
Buddhadeb Pradhan, Shiplu Das, Diptendu Sinha Roy, Sidheswar Routray, Francesco Benedetto, Rutvij H. Jhaveri
IEEE Access. 202380 CitationsOPEN ACCESS
IoT-Assisted Automatic Driver Drowsiness Detection through Facial Movement Analysis Using Deep Learning and a U-Net-Based Architecture
Shiplu Das, Sanjoy Pratihar, Buddhadeb Pradhan, Rutvij H. Jhaveri, Francesco Benedetto
S4210219776. 202437 CitationsOPEN ACCESS
Text Region Identification from Natural Scene Images Using Semi-Supervised MSER Method
Shiplu Das, Sitikantha Chattopadhyay, Ritesh Prasad, Joydeep Kundu, Souvik Pal
S2764905038. 20222 Citations
Machine Learning and Deep Learning-Based Smart City Infrastructure to Connect Intelligent Domain Using Internet of Things
Shiplu Das, Srinjoy Sarkar, Subhadip Dutta, Sohini Ghosh, Sudipto Dhar, Buddhadeb Pradhan, Sudipta Sahana
Lecture notes in electrical engineering. 20232 Citations

Related on ScholarIQ

Indian Institute of Information Technology Allahabad
Institution
An AI-Assisted Smart Healthcare System Using 5G Communication
Paper
IoT-Assisted Automatic Driver Drowsiness Detection through Facial Movement Analysis Using Deep Learning and a U-Net-Based Architecture
Paper
Advanced deep learning models for automatic detection of driver’s facial expressions, movements, and alertness in varied lighting conditions: a comparative analysis
Paper
Text Region Identification from Natural Scene Images Using Semi-Supervised MSER Method
Paper
Machine Learning and Deep Learning-Based Smart City Infrastructure to Connect Intelligent Domain Using Internet of Things
Paper
470M+ articles · free account