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Ferdinand Kartriku · Peerford

University of Ghana / Scholars

FK

Ferdinand Kartriku

University of Ghana

Publishing since 2020

Molecular Biology

Their record on OpenAlex
Download CV:PDF Word
Who they write with Where their co-authors are Every publication
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Publications: 12020
Citations: 1to those papers
h-index: 1i10-index 0
Field-weighted impact: 0.071.00 is the world average
World top 10%: 0%0 of 1 scored papers
Open access: 100%1 papers free to read

By year

Papers, and the citations to them

Publications, left axisCitations to that year’s papers, right axis2026 still in progress

Citations received each year

Peerford

To all their work, old papers included. Google Scholar also counts citations from theses, books and web pages, so its line runs higher.

What they work on

From the classification of each paper

Subfields

Molecular Biology

Publications

1 in all

Deep Neural Network: An Efficient and Optimized Machine Learning Paradigm for Reducing Genome Sequencing Error
2020International Journal of Engineering Trends and TechnologyJournalOpen accessFirst author1 citation10.14445/22315381/ijett-v68i9p205

1100%

Life Sciences

Topics most written on

Gene expression and cancer classification1
Genomics and Phylogenetic Studies1
Machine Learning in Bioinformatics1

Where they publish

International Journal of Engineering Trends and Technology1

How it can be read

100% free to read

Bronze 1 · 100%Free to read, no open licence

Most cited

Deep Neural Network: An Efficient and Optimized Machine Learning Paradigm for Reducing Genome Sequencing Error
International Journal of Engineering Trends and Technology
20201 citationOpen access · Bronze