Renewable energy applications in mineral processing and mining operations: a bibliometric analysis and systematic literature review

This study presents a bibliometric analysis and systematic literature review of renewable energy applications in mineral processing and mining operations from 2000 to 2024, identifying key themes, trends, and future research directions. Using bibliometric analysis, text mining, and content analysis, the study aimed to: (i) capture the scientific evolution of renewable energy applications, (ii) provide a comprehensive overview of existing literature, and (iii) propose future directions. A total of 198 peer-reviewed articles were analysed from Scopus, JSTOR, and Taylor & Francis databases using the preferred reporting items for systematic reviews and meta-analyses method. In addition to the systematic search, an ad-hoc sampling approach was used, meaning that additional studies cited within key selected articles were manually included, provided they met specific relevance criteria related to renewable energy in mining. The analysis identified four research areas: (1) sustainable development through renewable energy, (2) wind energy prediction using AI, (3) solar energy applications in mining, and (4) energy demand management.

Authors

Institutions

Publication Details

Journal
Mineral Processing and Extractive Metallurgy Transactions of the Institutions of Mining and Metallurgy
Published
2025-06-30
DOI
https://doi.org/10.1177/25726641251353350
Citations
1
Primary Topic
Mining Techniques and Economics
Type
article
Field-Weighted Citation Impact
1.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Renewable energy applications in mineral processing and mining operations: a bibliometric analysis and systematic literature review

Marco Antonio Cotrina Teatino, Jairo Jhonatan Marquina Araujo, Josué Alberto Inca-Cupe, Johan Jean Pierre Vera-Mendoza
1 citations
Mineral Processing and Extractive Metallurgy Transactions of the Institutions of Mining and Metallurgy
Mining Techniques and Economics
1.21
article

Renewable energy applications in mineral processing and mining operations: a bibliometric analysis and systematic literature review

Marco Antonio Cotrina Teatino, Jairo Jhonatan Marquina Araujo, Josué Alberto Inca-Cupe, Johan Jean Pierre Vera-Mendoza
article en
1 citations

Abstract

This study presents a bibliometric analysis and systematic literature review of renewable energy applications in mineral processing and mining operations from 2000 to 2024, identifying key themes, trends, and future research directions. Using bibliometric analysis, text mining, and content analysis, the study aimed to: (i) capture the scientific evolution of renewable energy applications, (ii) provide a comprehensive overview of existing literature, and (iii) propose future directions. A total of 198 peer-reviewed articles were analysed from Scopus, JSTOR, and Taylor & Francis databases using the preferred reporting items for systematic reviews and meta-analyses method. In addition to the systematic search, an ad-hoc sampling approach was used, meaning that additional studies cited within key selected articles were manually included, provided they met specific relevance criteria related to renewable energy in mining. The analysis identified four research areas: (1) sustainable development through renewable energy, (2) wind energy prediction using AI, (3) solar energy applications in mining, and (4) energy demand management.

Mineral Processing and Extractive Metallurgy Transactions of the Institutions of Mining and MetallurgyVol. 134(3)
National University of Trujillo (PE)
Openalex Percentile: Top 20%
Mining Techniques and Economics
1.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.