Off-type Detection
Off-Type Detection is a scholarly methodological contribution that identifies and distinguishes artifacts, data, or elements deviating from an expected or canonical type within a given classification system or domain.
5
Publications
136
Citations
19
Authors
13
Institutions
Publications per year
2017–2026
2
Parents
5
Ratneshwar Kumar Ratnesh, Mrityunjay Kumar Singh, Mrityunjay Kumar Singh et al. · ACS Applied Bio Materials · 2024 · 16 citations
1–5 of 5
19
1
h-index
1
h-index
1
h-index
National Institute of Information and Communications Technology, Japan
1 publications · 40 citations
1
h-index
1
h-index
1–5 of 19
13

National Institute of Information and Communications Technology
Tokyo, Japan
1 h-index
2 publications
80 citations
Japan Science and Technology Agency
Tokyo, Japan
1 h-index
2 publications
80 citations
Suwon Research Institute
Suwon, South Korea
1 h-index
5 publications
90 citations

University of Delhi
New Delhi, India
1 h-index
3 publications
48 citations
Yancheng Institute of Technology
Yancheng, China
1 h-index
3 publications
144 citations

Banaras Hindu University
Varanasi, India
1 h-index
1 publications
16 citations
Institute of Nanotechnology
Glasgow, United Kingdom
1 h-index
4 publications
72 citations
University of Kalyani
Kalyani, India
1 h-index
2 publications
28 citations
1–8 of 13
AABM · 1 publications · 16 citations
1
h-index
1 publications · 48 citations
1
h-index
PRA · 1 publications · 40 citations
1
h-index
1 publications · 18 citations
1
h-index
BJOC · 1 publications · 14 citations
1
h-index
1–5