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Review
. 2024 Feb 27;17(5):1088.
doi: 10.3390/ma17051088.

A 30-Year Review on Nanocomposites: Comprehensive Bibliometric Insights into Microstructural, Electrical, and Mechanical Properties Assisted by Artificial Intelligence

Fernando Gomes Souza Jr  1   2 , Shekhar Bhansali  3 , Kaushik Pal  4 , Fabíola da Silveira Maranhão  1 , Marcella Santos Oliveira  1 , Viviane Silva Valladão  1 , Daniele Silvéria Brandão E Silva  2 , Gabriel Bezerra Silva  1
Affiliations
Review

A 30-Year Review on Nanocomposites: Comprehensive Bibliometric Insights into Microstructural, Electrical, and Mechanical Properties Assisted by Artificial Intelligence

Fernando Gomes Souza Jr et al. Materials (Basel). .

Abstract

From 1990 to 2024, this study presents a groundbreaking bibliometric and sentiment analysis of nanocomposite literature, distinguishing itself from existing reviews through its unique computational methodology. Developed by our research group, this novel approach systematically investigates the evolution of nanocomposites, focusing on microstructural characterization, electrical properties, and mechanical behaviors. By deploying advanced Boolean search strategies within the Scopus database, we achieve a meticulous extraction and in-depth exploration of thematic content, a methodological advancement in the field. Our analysis uniquely identifies critical trends and insights concerning nanocomposite microstructure, electrical attributes, and mechanical performance. The paper goes beyond traditional textual analytics and bibliometric evaluation, offering new interpretations of data and highlighting significant collaborative efforts and influential studies within the nanocomposite domain. Our findings uncover the evolution of research language, thematic shifts, and global contributions, providing a distinct and comprehensive view of the dynamic evolution of nanocomposite research. A critical component of this study is the "State-of-the-Art and Gaps Extracted from Results and Discussions" section, which delves into the latest advancements in nanocomposite research. This section details various nanocomposite types and their properties and introduces novel interpretations of their applications, especially in nanocomposite films. By tracing historical progress and identifying emerging trends, this analysis emphasizes the significance of collaboration and influential studies in molding the field. Moreover, the "Literature Review Guided by Artificial Intelligence" section showcases an innovative AI-guided approach to nanocomposite research, a first in this domain. Focusing on articles from 2023, selected based on citation frequency, this method offers a new perspective on the interplay between nanocomposites and their electrical properties. It highlights the composition, structure, and functionality of various systems, integrating recent findings for a comprehensive overview of current knowledge. The sentiment analysis, with an average score of 0.638771, reflects a positive trend in academic discourse and an increasing recognition of the potential of nanocomposites. Our bibliometric analysis, another methodological novelty, maps the intellectual domain, emphasizing pivotal research themes and the influence of crosslinking time on nanocomposite attributes. While acknowledging its limitations, this study exemplifies the indispensable role of our innovative computational tools in synthesizing and understanding the extensive body of nanocomposite literature. This work not only elucidates prevailing trends but also contributes a unique perspective and novel insights, enhancing our understanding of the nanocomposite research field.

Keywords: Boolean search; Scopus database; bibliometric analysis; computational methodologies; crosslinking time; microstructural characterization; nanocomposites; sentiment analysis.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Scatter plot of word frequencies and word cloud of most common words as figures’ inset.
Figure 2
Figure 2
Top ten collaborations between authors. The figure presents the pair of collaborating authors, their Scopus IDs in parentheses, and the number of joined publications.
Figure 3
Figure 3
Top ten most cited articles showcasing titles, authors, publication years, and citation counts. which is available at (https://whimsical.com/most-cited-articles-MUUsxarSj8osB2j2C4rK7).
Figure 4
Figure 4
Top 10 most cited articles (last 5 years) showcasing titles, authors, publication years, and citation counts. which is available at (https://whimsical.com/most-cited-articles-last-5-years-4TZqhfjDtnw59ACMVeBZzU).
Figure 5
Figure 5
Funding sources by country, indicating the number of occurrences reflecting research investment. The color temperature represents the volume of funding, with warm red signifying the highest investment by China, followed by colder shades for other countries in descending order of their investment occurrences.
Figure 6
Figure 6
Cumulative language evolution.
Figure 7
Figure 7
Titles sentiment scatter plot.
Figure 8
Figure 8
Abstracts sentiment scatter plot.
Figure 9
Figure 9
LDA-generated word clouds from titles.
Figure 10
Figure 10
LDA-generated word clouds from abstracts.
Figure 11
Figure 11
Total link strength vs. occurrences from VOS analysis.
Figure 12
Figure 12
Network visualization from VOS analysis.
Figure 13
Figure 13
Overlay visualization from VOS analysis.
Figure 14
Figure 14
Top five pairs of terms depending on the value of LSBI.
Figure 15
Figure 15
Top five pairs of terms depending on the value of Year.
Figure 16
Figure 16
Elbow plot.
Figure 17
Figure 17
Network illustrating the strength of links between terms related to nanocomposites and electrical properties.
Figure 18
Figure 18
Network of closest terms related to nanocomposites and electrical properties.
Figure 19
Figure 19
Network illustrating the newest terms related to nanocomposites and electrical properties.
Figure 20
Figure 20
Network illustrating the strength of links between terms related to nanocomposites and mechanical behavior.
Figure 21
Figure 21
Network of closest terms related to nanocomposites and mechanical behavior.
Figure 22
Figure 22
Network illustrating the newest terms related to nanocomposites and mechanical behavior.
Figure 23
Figure 23
Network illustrating term associations in nanocomposites and microstructure.
Figure 24
Figure 24
Network of closest terms related to nanocomposites and microstructure.
Figure 25
Figure 25
Network illustrating the newest terms related to nanocomposites and microstructure.
Figure 26
Figure 26
Overview of nanocomposites research.
See this image and copyright information in PMC

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