[HTML][HTML] Unveiling the dynamics of AI applications: A review of reviews using scientometrics and BERTopic modeling
In a world that has rapidly transformed through the advent of artificial intelligence (AI), our
systematic review, guided by the PRISMA protocol, investigates a decade of AI research …
systematic review, guided by the PRISMA protocol, investigates a decade of AI research …
Insights into financial technology (FinTech): a bibliometric and visual study
B Li, Z Xu - Financial innovation, 2021 - Springer
This paper conducted a comprehensive analysis based on bibliometrics and science
map** analysis. First, 848 publications were obtained from Web of Science. Their …
map** analysis. First, 848 publications were obtained from Web of Science. Their …
A comprehensive bibliometric analysis of entrepreneurship and crisis literature published from 1984 to 2020
Entrepreneurship has enormous economic and social power, but when a crisis strikes,
exploring the relationships and impacts between entrepreneurship and crisis (E&C) is a …
exploring the relationships and impacts between entrepreneurship and crisis (E&C) is a …
Deep learning in economics: a systematic and critical review
From the perspective of historical review, the methodology of economics develops from
qualitative to quantitative, from a small sampling of data to a vast amount of data. Because of …
qualitative to quantitative, from a small sampling of data to a vast amount of data. Because of …
Bilateral sensitivity analysis: a better understanding of a neural network
A model-independent sensitivity analysis for (deep) neural network, Bilateral sensitivity
analysis (BiSA), is proposed to measure the relationship or dependency between neurons …
analysis (BiSA), is proposed to measure the relationship or dependency between neurons …
A bibliometric and content analysis of research trends on GIS-based landslide susceptibility from 2001 to 2020
J Huang, X Wu, S Ling, X Li, Y Wu, L Peng… - … Science and Pollution …, 2022 - Springer
To assess the status of hotspots and research trends on geographic information system
(GIS)–based landslide susceptibility (LS), we analysed 1142 articles from the Thomas …
(GIS)–based landslide susceptibility (LS), we analysed 1142 articles from the Thomas …
A comprehensive bibliometric analysis of Apache Hadoop from 2008 to 2020
J Zhang, M Lin - International Journal of Intelligent Computing and …, 2023 - emerald.com
Purpose The purpose of this paper is to make an overview of 6,618 publications of Apache
Hadoop from 2008 to 2020 in order to provide a conclusive and comprehensive analysis for …
Hadoop from 2008 to 2020 in order to provide a conclusive and comprehensive analysis for …
[HTML][HTML] Machine learning and deep learning for safety applications: Investigating the intellectual structure and the temporal evolution
Over the last decades, safety requirements have become of primary concern. In the context
of safety, several strategies could be pursued in many engineering fields. Moreover, many …
of safety, several strategies could be pursued in many engineering fields. Moreover, many …
Machine learning in antibacterial discovery and development: A bibliometric and network analysis of research hotspots and trends
Abstract Machine learning (ML) methods are used in cheminformatics processes to predict
the activity of an unknown drug and thus discover new potential antibacterial drugs. This …
the activity of an unknown drug and thus discover new potential antibacterial drugs. This …
Energy forecasting in smart grid systems: recent advancements in probabilistic deep learning
Energy forecasting plays a vital role in mitigating challenges in data rich smart grid (SG)
systems involving various applications such as demand‐side management, load shedding …
systems involving various applications such as demand‐side management, load shedding …