Skip to content

PeerfordResearch intelligence

Countries
Institutions
Researchers
Fields
Rankings
Compare
Commons

Search institutions, scholars, countries and publications

Countries
Institutions
Researchers
Fields
Rankings
Compare

CommonsWhere researchers talk about their work

Search institutions, scholars, countries and publications

Every figure here is counted by Peerford from the works themselves, the same way for every institution.

Browse

Countries
Institutions
Researchers
Fields
Rankings
Commons, for researchers

About

How Peerford counts
Compare institutions
Privacy
Terms of use

Contact

hello@peerford.com
https://wa.me/peerford · WhatsApp

Language

English
FrançaisFrench
PortuguêsPortuguese
العربيةArabic

Theme

SystemLightDark

George Kwame Frimpong · Peerford

University of Mines and Technology / Scholars

GF

George Kwame Frimpong

University of Mines and Technology

Publishing since 2026

Artificial Intelligence
Computer Vision and Pattern Recognition

Their record on OpenAlex
Download CV:PDF Word
Who they write with Where their co-authors are Every publication
Is this you? Sign in to edit your profile

Publications: 12026
Citations: 0to those papers
h-index: 0i10-index 0
Field-weighted impact: 0.001.00 is the world average
World top 10%: 0%0 of 1 scored papers
Open access: 0%0 papers free to read

What they work on

From the classification of each paper

Subfields

Artificial Intelligence1100%
Computer Vision and Pattern Recognition1100%

Physical Sciences

Topics most written on

Advanced Neural Network Applications1
Machine Learning and ELM1
Seismology and Earthquake Studies1

Where they publish

Publications

1 in all

Automatic Solid Core Detection Using Faster R-CNN and Yolo11 for Real-Time RQD Estimation
2026Mining Metallurgy & ExplorationJournal0 citations10.1007/s42461-026-01618-9

Mining Metallurgy & Exploration

1

How it can be read

0% free to read

Closed 1 · 100%Behind a paywall

Development goals addressed

From each paper’s title and abstract

7Affordable and clean energy1

Most cited

Automatic Solid Core Detection Using Faster R-CNN and Yolo11 for Real-Time RQD Estimation
Mining Metallurgy & Exploration7
20260 citations