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M. Saif

1 paper hereh-index 268 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • eess.IV1
same name
  • M. Saif — 6 papers, h 50
  • M. Saif — 1 paper, h 18
  • M. Saif — 1 paper, h 4
  • M. Saif — 1 paper, h 7
  • M. Saif — 1 paper, h 17

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedA Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron

66 citations · 66 across the 1 of their papers we have counts for

collaborators

1 paper

eess.IV2022★ 66 cited

A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron

Asifullah Khan, Saddam Hussain Khan, Mahrukh Saif +3

The Coronavirus (COVID-19) outbreak in December 2019 has become an ongoing threat to humans worldwide, creating a health crisis that infected millions of lives, as well as devastat…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.