[HTML][HTML] Unveiling the dynamics of AI applications: A review of reviews using scientometrics and BERTopic modeling

R Raman, D Pattnaik, L Hughes… - Journal of Innovation & …, 2024 - Elsevier
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 …

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 …

A comprehensive bibliometric analysis of entrepreneurship and crisis literature published from 1984 to 2020

Z Xu, X Wang, X Wang, M Skare - Journal of business research, 2021 - Elsevier
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 …

Deep learning in economics: a systematic and critical review

Y Zheng, Z Xu, A **ao - Artificial Intelligence Review, 2023 - Springer
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 …

Bilateral sensitivity analysis: a better understanding of a neural network

H Zhang, Y Jiang, J Wang, K Zhang, NR Pal - International Journal of …, 2022 - Springer
A model-independent sensitivity analysis for (deep) neural network, Bilateral sensitivity
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 …

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 …

[HTML][HTML] Machine learning and deep learning for safety applications: Investigating the intellectual structure and the temporal evolution

L Leoni, A BahooToroody, MM Abaei, A Cantini… - Safety science, 2024 - Elsevier
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 …

Machine learning in antibacterial discovery and development: A bibliometric and network analysis of research hotspots and trends

K Diéguez-Santana, H González-Díaz - Computers in Biology and Medicine, 2023 - Elsevier
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 …

Energy forecasting in smart grid systems: recent advancements in probabilistic deep learning

D Kaur, SN Islam, MA Mahmud… - IET Generation …, 2022 - Wiley Online Library
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 …