Clement Kweku Arthur

University of Mines and Technology

Publishing since 2019, latest 2026

Mechanics of Materials
Civil and Structural Engineering
Mechanical Engineering
Safety, Risk, Reliability and Quality
Artificial Intelligence
Control and Systems Engineering

Publications: 192019–2026
Citations: 463to those papers
h-index: 10i10-index 10
Field-weighted impact: 2.211.00 is the world average
World top 10%: 26%5 of 19 scored papers
Open access: 53%10 papers free to read

1 other work — a preprint, a dataset or the like — is listed but not counted.

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

Publications

19 in all

Interpretable Prediction of Blast-Induced Rock Fragmentation Using Optimized Back Propagation Neural Networks and Support Vector Regression Models
2026International Journal of GeosciencesJournalOpen access0 citations10.4236/ijg.2026.178028
Towards sustainable sand resource management - Best governance practices and alternatives to river sand in India
2025

Download CV:PDFWord

Subfields

Mechanics of Materials1053%
Civil and Structural Engineering947%
Mechanical Engineering632%
Safety, Risk, Reliability and Quality632%
Artificial Intelligence316%
Control and Systems Engineering316%
Ocean Engineering316%
Biomedical Engineering15%
Building and Construction15%
Ecology15%

Physical Sciences

Topics most written on

Rock Mechanics and Modeling9
Geoscience and Mining Technology6
Mineral Processing and Grinding6
Infrastructure Maintenance and Monitoring4
Tunneling and Rock Mechanics3
Geophysical Methods and Applications2
Machine Learning and ELM2
Mining Techniques and Economics2
Neural Networks and Applications2
Structural Health Monitoring Techniques2
Drilling and Well Engineering1
Earthquake Detection and Analysis1

Who they write with

Their most frequent co-authors, and the papers those co-authors share

Where their co-authors are

42% of their papers have a co-author abroad

papers co-written1234567Home

Most frequent partner countries

United States4
Malaysia4
Korea2
Australia2
India2
Russia1
Hungary1

Papers with at least one author in that country.

Institutions written with most

University of Technology MalaysiaMY4 papers
Colorado School of MinesUS2 papers
Inha UniversityKR2 papers
Federation UniversityAU2 papers
Indian Institute of Technology KharagpurIN2 papers
New Mexico Institute of Mining and TechnologyUS1 paper
Peter the Great St. Petersburg Polytechnic UniversityRU1 paper
Universiti Sains MalaysiaMY1 paper
Banaras Hindu UniversityIN1 paper
Visvesvaraya National Institute of TechnologyIN1 paper

Where they publish

Journal of Sustainable Mining4
Mining Technology Transactions of the Institutions of Mining and Metallurgy2
Modeling Earth Systems and Environment2
Applied Sciences1
Elsevier eBooks1
Engineering With Computers1
Environmental Science and Pollution Research1
Ghana Mining Journal1

How it can be read

53% free to read

Diamond 7 · 37%Free to read and to publish
Gold 1 · 5%In an open-access journal
Bronze 2 · 11%Free to read, no open licence
Closed 9 · 47%Behind a paywall

Who funds it

10 of 19 papers name a funder

Development goals addressed

From each paper’s title and abstract

13Climate action4
9Industry, innovation and infrastructure2
11Sustainable cities and communities2
8Decent work and economic growth1
12Responsible consumption and production1
15Life on land1

Most cited

Novel approach to predicting blast-induced ground vibration using Gaussian process regression
Engineering With Computers13
201998 citationsWorld top 10%
Multivariate Adaptive Regression Splines (MARS) approach to blast-induced ground vibration prediction
International Journal of Mining Reclamation and Environment11
201984 citationsWorld top 10%
A novel artificial intelligent model for predicting air overpressure using brain inspired emotional neural network
International Journal of Mining Science and Technology
202062 citationsWorld top 10%Open access · Diamond
Performance Evaluation of Training Algorithms in Backpropagation Neural Network Approach to Blast-Induced Ground Vibration Prediction
Ghana Mining Journal
202051 citationsWorld top 10%Open access · Diamond
The future of mining in Ghana: Are stakeholders prepared for the adoption of autonomous mining systems?
Resources Policy8
201941 citations

Environmental Science and Pollution Research

Enhanced site-specific constant estimation in blast-induced ground vibration models using stochastic fractal search optimisation

2025Mining Technology Transactions of the Institutions of Mining and MetallurgyJournalFirst authorCorresponding0 citations10.1177/25726668251359108

Predicting open-pit mine production using machine learning techniques

2024Journal of Sustainable MiningJournalOpen accessSenior author6 citations10.46873/2300-3960.1411

Support Vector Machine Application in Modelling and Prediction of Blast-Induced Ground Vibration

2024Lecture notes in civil engineeringPublicationFirst authorCorresponding0 citations10.1007/978-981-97-1757-6_55

Blast-Induced Noise Level Prediction Model Based on Brain Inspired Emotional Neural Network

2021Journal of Sustainable MiningJournalOpen accessSenior author11 citations10.46873/2300-3960.1043

A novel artificial intelligent model for predicting air overpressure using brain inspired emotional neural network

2020International Journal of Mining Science and TechnologyJournalOpen accessSenior author62 citations10.1016/j.ijmst.2020.05.020

Multivariate Adaptive Regression Splines (MARS) approach to blast-induced ground vibration prediction

2019International Journal of Mining Reclamation and EnvironmentJournalFirst authorCorresponding84 citations10.1080/17480930.2019.1577940

Ghana National Petroleum Corporation

Ministry of Electronics and Information technology1

Ministry of Science and Higher Education of the Russian Federation1