Staff View: Application of artificial intelligence in internal combustion engines – bibliometric analysis on progress and future research priorities

Application of artificial intelligence in internal combustion engines – bibliometric analysis on progress and future research priorities

Artificial intelligence (AI) techniques are increasingly used in internal combustion engines (ICEs) and hybrid electric vehicles (HEV) research, mainly for pre-diction, control, optimization, and classification task. The present study is a bibliometric-based review involving analyzing 1,800 document...

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Main Authors:	Abubakar, Shitu, Muhamad Said, Mohd. Farid, Abas, Mohd. Azman, Samaila, U., Ibrahim, Auwal A., Ismail, Najib Aminu, Narayan, Sunny, Kaisan, M. U.
Format:	Article
Published:	Scibulcom Ltd. 2024
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/108950/ https://scibulcom.net/en/article/2q8EwUVOm0uk5VkOBNse
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id	my.utm.108950
record_format	eprints
spelling	my.utm.1089502024-12-16T00:44:50Z http://eprints.utm.my/108950/ Application of artificial intelligence in internal combustion engines – bibliometric analysis on progress and future research priorities Abubakar, Shitu Muhamad Said, Mohd. Farid Abas, Mohd. Azman Samaila, U. Ibrahim, Auwal A. Ismail, Najib Aminu Narayan, Sunny Kaisan, M. U. TJ Mechanical engineering and machinery Artificial intelligence (AI) techniques are increasingly used in internal combustion engines (ICEs) and hybrid electric vehicles (HEV) research, mainly for pre-diction, control, optimization, and classification task. The present study is a bibliometric-based review involving analyzing 1,800 documents using VOSviewer (v1.6.19) and Excel sourced from the Scopus database between 2014 and 2023. The VOSviewer methodology involved importing bibliographic data to analyze the most prolific countries, authors and construct co-occurrences of keywords. The most influential publication was attributed to Das, H.S.; Li, S.; Rahman, M. M. and Tan, C. W. with the highest number of citations of 446, published in 2020. Applied Energy emerges as the most prolific journal, with 1508 citations across 34 documents. Similarly, the United States, leading with 298 publications, also has the highest number of citations at 4118. China follows closely, with 262 publications and 3667 citations, securing the second position. Italy ranks third, contributing 149 publications that garnered 2236 citations. The keyword analysis portrayed that the emerging trend was found to correlate majorly with ‘machine learning algorithms’, ‘hybrid electric vehicles’, ‘control’ and ‘multi-objective optimization’. Scibulcom Ltd. 2024 Article PeerReviewed Abubakar, Shitu and Muhamad Said, Mohd. Farid and Abas, Mohd. Azman and Samaila, U. and Ibrahim, Auwal A. and Ismail, Najib Aminu and Narayan, Sunny and Kaisan, M. U. (2024) Application of artificial intelligence in internal combustion engines – bibliometric analysis on progress and future research priorities. Journal of the Balkan Tribological Association, 30 (4). pp. 632-654. ISSN 1310-4772 https://scibulcom.net/en/article/2q8EwUVOm0uk5VkOBNse NA
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Abubakar, Shitu Muhamad Said, Mohd. Farid Abas, Mohd. Azman Samaila, U. Ibrahim, Auwal A. Ismail, Najib Aminu Narayan, Sunny Kaisan, M. U. Application of artificial intelligence in internal combustion engines – bibliometric analysis on progress and future research priorities
description	Artificial intelligence (AI) techniques are increasingly used in internal combustion engines (ICEs) and hybrid electric vehicles (HEV) research, mainly for pre-diction, control, optimization, and classification task. The present study is a bibliometric-based review involving analyzing 1,800 documents using VOSviewer (v1.6.19) and Excel sourced from the Scopus database between 2014 and 2023. The VOSviewer methodology involved importing bibliographic data to analyze the most prolific countries, authors and construct co-occurrences of keywords. The most influential publication was attributed to Das, H.S.; Li, S.; Rahman, M. M. and Tan, C. W. with the highest number of citations of 446, published in 2020. Applied Energy emerges as the most prolific journal, with 1508 citations across 34 documents. Similarly, the United States, leading with 298 publications, also has the highest number of citations at 4118. China follows closely, with 262 publications and 3667 citations, securing the second position. Italy ranks third, contributing 149 publications that garnered 2236 citations. The keyword analysis portrayed that the emerging trend was found to correlate majorly with ‘machine learning algorithms’, ‘hybrid electric vehicles’, ‘control’ and ‘multi-objective optimization’.
format	Article
author	Abubakar, Shitu Muhamad Said, Mohd. Farid Abas, Mohd. Azman Samaila, U. Ibrahim, Auwal A. Ismail, Najib Aminu Narayan, Sunny Kaisan, M. U.
author_facet	Abubakar, Shitu Muhamad Said, Mohd. Farid Abas, Mohd. Azman Samaila, U. Ibrahim, Auwal A. Ismail, Najib Aminu Narayan, Sunny Kaisan, M. U.
author_sort	Abubakar, Shitu
title	Application of artificial intelligence in internal combustion engines – bibliometric analysis on progress and future research priorities
title_short	Application of artificial intelligence in internal combustion engines – bibliometric analysis on progress and future research priorities
title_full	Application of artificial intelligence in internal combustion engines – bibliometric analysis on progress and future research priorities
title_fullStr	Application of artificial intelligence in internal combustion engines – bibliometric analysis on progress and future research priorities
title_full_unstemmed	Application of artificial intelligence in internal combustion engines – bibliometric analysis on progress and future research priorities
title_sort	application of artificial intelligence in internal combustion engines – bibliometric analysis on progress and future research priorities
publisher	Scibulcom Ltd.
publishDate	2024
url	http://eprints.utm.my/108950/ https://scibulcom.net/en/article/2q8EwUVOm0uk5VkOBNse
_version_	1818834070524657664
score	13.223943

Application of artificial intelligence in internal combustion engines – bibliometric analysis on progress and future research priorities

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