Bibliometric analysis of natural language processing using CiteSpace and VOSviewer DOI Creative Commons

Xiuming Chen,

Wenjie Tian,

Haoyun Fang

и другие.

Natural Language Processing Journal, Год журнала: 2024, Номер unknown, С. 100123 - 100123

Опубликована: Дек. 1, 2024

Язык: Английский

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring DOI Creative Commons
Md. Motaharul Islam, Mohammad Kamrul Hasan, Shayla Islam

и другие.

CAAI Transactions on Intelligence Technology, Год журнала: 2024, Номер unknown

Опубликована: Март 25, 2024

Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention recent research. authors introduce a novel architectural framework designed to interconnect smart devices within healthcare facilities using narrowband (NB‐IoT) technology. core objective is establishing seamless data transmission pipeline that bridges these with the nearest base station. associated routed directly from edge computing infrastructure Cloud storage. proposed architecture increases security optimises system performance by avoiding dependencies on central centres. critical components this allow node transmit cloud, where primary processing analysis occur. selection NB‐IoT as underlying protocol facilitates real‐time collection boosted capacity coverage, extended battery life, cost efficiency.

Язык: Английский

Процитировано

9

Safeguarding Enterprise Prosperity: An In-depth Analysis of Financial Management Strategies DOI
Rong Wang

Journal of the Knowledge Economy, Год журнала: 2024, Номер unknown

Опубликована: Фев. 21, 2024

Язык: Английский

Процитировано

7

A Synthetic Review on Enterprise Digital Transformation: A Bibliometric Analysis DOI Open Access
Junru Chen, Shen Lei

Sustainability, Год журнала: 2024, Номер 16(5), С. 1836 - 1836

Опубликована: Фев. 23, 2024

The digital transformation of enterprises has become an inevitable trend. Conducting a bibliometric analysis the literature on and exploring current status will provide valuable references suggestions for enterprises. Both review methods are utilized in this study. Among tools HistCite CiteSpace. This study finds that Parida V Technology Forecasting Social Change most prolific authors journals enterprise transformation, respectively. USA publications, Copenhagen Business School is influential institution. Three stages shown by citation mapping: budding stage (before 2014), system formation (2015–2019), diversified development (2020–present). Based keyword co-occurrence emergent analysis, constructs conceptual framework four aspects: technology adoption, dynamic capabilities, innovation orientation, performance. provides systematic overview research, establishes certain theoretical insights to steer corresponding practical activities.

Язык: Английский

Процитировано

5

Quantum computing: Impact on energy efficiency and sustainability DOI
Vaishali Sood, R. P. Chauhan

Expert Systems with Applications, Год журнала: 2024, Номер 255, С. 124401 - 124401

Опубликована: Июнь 12, 2024

Язык: Английский

Процитировано

5

Google Trends applications for COVID-19 pandemic: A bibliometric analysis DOI Creative Commons
Hao Li, Ning Zhang,

Xingxing Ma

и другие.

Digital Health, Год журнала: 2025, Номер 11

Опубликована: Янв. 1, 2025

Introduction COVID-19 is one of the most severe global health events in recent years. Google Trends provides a comprehensive analysis search frequency for specific terms on Google, reflecting public's areas interest. As now, there has been no bibliometric study and Trends. Therefore, aim this to perform existing research related COVID-19. Methods We retrieved 467 records from Web Science™ Core Collection, covering period January 1, 2020, December 31, 2023. then conducted scientific metric analyses using CiteSpace, VOSviewer, Bibliometrix package R-software explore temporal spatial distribution, author thematic categories, references, keywords these records. Results A total valid records, comprising 418 articles 49 reviews, were collected analysis. Over 4 years, highest number publications occurred 2021. The United States had published papers, followed by China. Notably, China closest collaborative relationship. Harvard University ranked as institution with papers. However, appeared be lack collaboration between institutions. hotspots encompassed “outbreak,” “epidemic,” “air pollution,” “internet,” “time series,” “public interest.” Conclusion This valuable overview directions which being utilized studying infectious diseases, particularly

Язык: Английский

Процитировано

0

ICT‐Driven Data Mining Analysis in Civil Engineering: A Scientometric Review DOI Open Access

Kashvi Sood

Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 17, 2025

ABSTRACT In the contemporary landscape, remarkable evolution of civil engineering is being driven by pervasive integration Information and Communication Technology (ICT). ICT‐driven innovations are playing a crucial role in advancing sustainable development goals promoting energy efficiency, minimizing resource consumption, fostering resilient infrastructure. Solutions such as smart grids, intelligent transportation systems, urban planning integral to this progress address global challenges. The goal current study conduct scientometric analysis scholarly literature published recent decade within domain ICT‐assisted engineering. To achieve this, categorizes field into seven major subfields. It includes structural engineering, geotechnical water resources environmental construction management, design. Employing CiteSpace analytical tool, research offers insights intellectual foundations This accomplished through reference co‐citation analysis, cluster burst analysis. results demonstrate adoption advanced technologies Internet Things (IoT), Machine Learning (ML), Extreme Gradient Boosting (XGBoost), artificial neural networks resolving complex challenges that reflect dynamism diversity field. Moreover, it addresses knowledge explores potential prospects. findings emphasize importance collaborative efforts among academia, industry stakeholders, government entities.

Язык: Английский

Процитировано

0

Big data applications in intelligent transport systems: a bibliometric analysis and review DOI Creative Commons

Mahbub Hassan,

Hridoy Deb Mahin,

Abdullah Al Nafees

и другие.

Deleted Journal, Год журнала: 2025, Номер 2(1)

Опубликована: Март 11, 2025

Язык: Английский

Процитировано

0

A bibliometric analysis of blockchain development in industrial digital transformation using CiteSpace DOI
Xin Su, Shengwen Wang,

Renzhu Yu

и другие.

Peer-to-Peer Networking and Applications, Год журнала: 2024, Номер 17(2), С. 739 - 755

Опубликована: Янв. 20, 2024

Язык: Английский

Процитировано

4

A scientometric analysis of quantum driven innovations in intelligent transportation systems DOI

Monika Agrewal,

Sandeep K. Sood

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 138, С. 109258 - 109258

Опубликована: Сен. 9, 2024

Язык: Английский

Процитировано

3

Tracing the Evolution of E-Government: A Visual Bibliometric Analysis from 2000 to 2023 DOI Creative Commons
Yifan Song,

Takashi Natori,

Xintao YU

и другие.

Administrative Sciences, Год журнала: 2024, Номер 14(7), С. 133 - 133

Опубликована: Июнь 24, 2024

In the continuously evolving field of E-government, understanding breadth and depth academic research is crucial for advancing governmental digital transformation policy development. This study employs visual bibliometric analysis, using Web Science database to map evolution trajectory E-government from 2000 2023. By utilizing CiteSpace a comprehensive examination 4536 articles, this paper outlines growth patterns thematic within field. The development delineated into four distinct phases: budding period (2000–2003), bottleneck (2004–2014), (2015–2018), (2019–2023), which are each marked by unique shifts technological advancements. results reveal focus in different periods, initial on means electronic government services, moving more complex issues such as acceptance transparency corruption, ultimately current innovation smart cities. addition, also clarifies that boom began 2019 driven opportunities, improvement infrastructure, multidisciplinary research. depicting these developmental stages emerging trends, not only unveils past efforts but forecasts future directions, thereby providing valuable insights researchers policymakers aiming understand implement effective strategies.

Язык: Английский

Процитировано

2