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Research evolution of metal organic frameworks: A scientometric approach with human-in-the-loop Cover

Research evolution of metal organic frameworks: A scientometric approach with human-in-the-loop

Journal of Data and Information Science
Volume 9 (2024): Issue 3 (June 2024)
By: Xintong Zhao,  Kyle Langlois,  Jacob Furst,  Yuan An,  Xiaohua Hu,  Diego Gomez Gualdron,  Fernando Uribe-Romo and  Jane Greenberg  
Open Access
|Jul 2024

Authors

Xintong Zhao

xz485@drexel.edu

Drexel University, Philadelphia, USA

Kyle Langlois

University of Central Florida, Orlando, USA

Jacob Furst

University of Central Florida, Orlando, USA

Yuan An

Drexel University, Philadelphia, USA

Xiaohua Hu

Drexel University, Philadelphia, USA

Diego Gomez Gualdron

Colorado School of Mines, Golden, USA

Fernando Uribe-Romo

University of Central Florida, Orlando, USA

Jane Greenberg

Drexel University, Philadelphia, USA
DOI: https://doi.org/10.2478/jdis-2024-0019 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 44 - 64
Submitted on: Mar 19, 2024
Accepted on: Jun 19, 2024
Published on: Jul 19, 2024
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Scientometric,
Metal-Organic Frameworks (MOFs),
Network Analysis,
Topic Modeling,
Human in the Loop
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2024 Xintong Zhao, Kyle Langlois, Jacob Furst, Yuan An, Xiaohua Hu, Diego Gomez Gualdron, Fernando Uribe-Romo, Jane Greenberg, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution 4.0 License.

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