Mapping the knowledge of traffic collision Reconstruction: A scientometric analysis in CiteSpace, VOSviewer, and SciMAT

Shen, Zhangfeng; Ji, Wei; Yu, Shengnan; Yuan, Quan; Han, Zhengqi; Liu, Hongxia; Yang, Tiantong

doi:10.1016/j.scijus.2022.10.005

Cited by 32 publications

(18 citation statements)

References 53 publications

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“…It is an integrated and quantifiable system that emphasizes the measurement of various aspects, such as the quantity of literature (various publications, especially journal articles and citations), the number of authors (individuals, groups, or organizations), and the number of terms (identifiers in literature, particularly keywords). The most essential characteristic of bibliometrics is that its outputs must be quantitative …”

Section: Methologymentioning

confidence: 99%

“…The most essential characteristic of bibliometrics is that its outputs must be quantitative. 20 VOSviewer is a bibliometric software tool based on data mining, which extracts data from the literature, generates clusters, and produces a cited author network, institution network, as well as intercountry collaboration maps. 21 It can show the general characteristics of this field and has the unique advantages of cluster analysis.…”

Section: ■ Introductionmentioning

confidence: 99%

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A Bibliometric Review of Personality and Safety Behavior in the Web of Science Database

Xu,

Jin,

Wang

2024

ACS Chem. Health Saf.

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This paper conducted a bibliometric analysis of personality and safety behavior research in the Web of Science database during the period of 2000−2023. A total of 1972 publications were screened from the Web of Science database, which covered 9992 authors, 867 journals, 114 countries/regions, and 3141 organizations. The annual growth trend and distribution of subject categories were analyzed. The most productive and influential countries, institutions, authors, and their cooperation networks were also identified. In addition, keywords occurrence was also provided. It is expected to provide the review for the past decades and significant insight to better understand the development trends associated with personality and safety behavior research.

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Section: Methologymentioning

confidence: 99%

Section: ■ Introductionmentioning

confidence: 99%

A Bibliometric Review of Personality and Safety Behavior in the Web of Science Database

Xu,

Jin,

Wang

2024

ACS Chem. Health Saf.

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“…Currently, scholars from various fields both domestically and internationally have conducted numerous studies on the issue of foresight for emerging technologies [2,3]. In the initial research stage of emerging technology foresight, the Delphi method method [4] and the analytic hierarchy process [5] are often used, and valuable expert experience is used to propose indicators to describe the characteristics of emerging technologies, which provides a solid foundation for subsequent research. The prediction of emerging technologies based on measurement models is more based on the quantitative indicator system of past or current technological characteristics to achieve judgment and prediction.…”

Section: Introductionmentioning

confidence: 99%

Research on the Method of Integrating Knowledge Graph and Deep Neural Network for Automotive Technology Foresight

Liu,

Wang,

et al. 2023

Proceedings of the 4th International Conference on Education, Knowledge and Information Management, ICEKIM 2023, May 26–28, 202

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Realizing precise foresight of emerging technologies in the field of electric vehicles helps the company to advance its layout in this field, seize the technological commanding heights, and empower high-level technological self-reliance and self-reliance. This study is based on knowledge graph technology and constructs a technical knowledge graph based on the relationships and attributes between scientific and technological papers in the field. It revolves around the three main characteristics of novelty, social impact, and fundamental innovation in the field of electric vehicle technology, and constructs a complete and quantifiable indicator system for new electric vehicle technologies. The knowledge graph is used to extract feature values of each indicator, relying on deep neural network algorithms, Train the industry's emerging technology foresight model to achieve precise foresight for the development of new electric vehicle technologies. This study can provide valuable reference for technology foresight in the field of electric vehicles and support industrial development decisions.

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“…Para ello, se emplea el procedimiento de revisión bibliométrica con un enfoque de mapeo científico. La bibliometría es una disciplina relativamente madura que permite un análisis detallado de los temas de investigación de la literatura existente y las relaciones de citas entre ellos [10]. Los métodos y herramientas de software de investigación bibliométrica son capaces de cuantificar y analizar la literatura con precisión, produciendo descripciones confiables del tema de interés.…”

Section: Introductionunclassified

Trends of Digital Games in Engineering Learning: A Science Mapping Analysis

Zarate-Perez,

Ferreira,

Melgarejo-Alcántara

et al. 2023

Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leaders

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The objective of this study was to review the literature on digital game-based learning (DG) in engineering education for the period 2002-2022. The process for elaborating the bibliometric study on DG includes a scientific mapping approach using the SciMAT analysis tool. The results indicate that the overlay map presents a stability index of 65%, showing a consistent thematic development. In the period 2002-2016, the topics captured with SciMAT involve serious games, learning games, simulation games and game-based learning. The most prominent topics for the period 2017-2022 on the evolution map are students' performance, online learning environment, video game, simulation games, and educational video games. In the context of engineering, simulations games can potentially be used to develop and analyze difficult concepts in different subjects. These applications relate to dangerous or expensive environments that would otherwise have been inaccessible for classroom use. However, to sustain progress in the use of DG learning in engineering education, there should be more studies on its effectiveness. Therefore, promoting the development of interdisciplinary applications involving students from different engineering specialties could contribute to the development and application of DG in this important area of learning.

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Mapping the knowledge of traffic collision Reconstruction: A scientometric analysis in CiteSpace, VOSviewer, and SciMAT

Cited by 32 publications

References 53 publications

A Bibliometric Review of Personality and Safety Behavior in the Web of Science Database

A Bibliometric Review of Personality and Safety Behavior in the Web of Science Database

Research on the Method of Integrating Knowledge Graph and Deep Neural Network for Automotive Technology Foresight

Trends of Digital Games in Engineering Learning: A Science Mapping Analysis

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