Unveiling the future of graphene oxide-based desalination membranes: Bibliometric analysis, AI-powered topic modeling and research evolution forecast, patent analysis, and regional feasibility in South Asia

• Comprehensive bibliometric analysis is performed to understand research progress. • Burst keywords analysis is conducted to identify research hotspots. • AI-derived models perform topic modeling and research evolution forecast. • Patent analysis is carried out to understand real-world technological developments. • Feasibility of implementing GO-based membranes for desalination in South Asia is discussed. The current world requires us to examine water scarcity as a vital matter. The main problem with water usability stems from its high salt content, which makes it unsuitable for different applications. The world now witnesses an increasing adoption of membrane-based desalination technology for water treatment. This study is based on a comprehensive evaluation of graphene oxide (GO)-based membranes for desalination operations. A complete bibliometric evaluation of research progress in GO-based membranes for desalination required a Scopus database download of a comprehensive dataset. The research hotspots become visible through Burst keyword analysis. The database underwent topic modeling and research evolution prediction through the integration of AI-derived models. The analysis of patent data from the “Lens” database enabled researchers to study actual GO-based membrane applications for desalination and their technological advancements. The study assesses industrialization challenges of GO-based membranes for desalination, along with a feasibility assessment to determine the implementation potential of GO-based membranes for desalination in South Asia, where water shortages and saltwater salinity present significant challenges. The research provides essential information to scientists who want to study GO-based membranes for desalination and business leaders who need to evaluate the current state and operational viability of this technology.

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Publication Details

Journal
Chemical Engineering Journal Advances
Published
2025-10-29
DOI
https://doi.org/10.1016/j.ceja.2025.100934
Citations
2
Primary Topic
Membrane Separation Technologies
Type
article
Field-Weighted Citation Impact
1.63
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article

Unveiling the future of graphene oxide-based desalination membranes: Bibliometric analysis, AI-powered topic modeling and research evolution forecast, patent analysis, and regional feasibility in South Asia

Sadit Bihongo Malitha, S. Mazumder, Md. Zahangir Alam, A. M. Sarwaruddin Chowdhury et al.
2 citations
Chemical Engineering Journal Advances
Membrane Separation Technologies
1.63
article

Unveiling the future of graphene oxide-based desalination membranes: Bibliometric analysis, AI-powered topic modeling and research evolution forecast, patent analysis, and regional feasibility in South Asia

Sadit Bihongo Malitha, S. Mazumder, Md. Zahangir Alam, A. M. Sarwaruddin Chowdhury, Md. Saiful Islam
article en
2 citations

Abstract

• Comprehensive bibliometric analysis is performed to understand research progress. • Burst keywords analysis is conducted to identify research hotspots. • AI-derived models perform topic modeling and research evolution forecast. • Patent analysis is carried out to understand real-world technological developments. • Feasibility of implementing GO-based membranes for desalination in South Asia is discussed. The current world requires us to examine water scarcity as a vital matter. The main problem with water usability stems from its high salt content, which makes it unsuitable for different applications. The world now witnesses an increasing adoption of membrane-based desalination technology for water treatment. This study is based on a comprehensive evaluation of graphene oxide (GO)-based membranes for desalination operations. A complete bibliometric evaluation of research progress in GO-based membranes for desalination required a Scopus database download of a comprehensive dataset. The research hotspots become visible through Burst keyword analysis. The database underwent topic modeling and research evolution prediction through the integration of AI-derived models. The analysis of patent data from the “Lens” database enabled researchers to study actual GO-based membrane applications for desalination and their technological advancements. The study assesses industrialization challenges of GO-based membranes for desalination, along with a feasibility assessment to determine the implementation potential of GO-based membranes for desalination in South Asia, where water shortages and saltwater salinity present significant challenges. The research provides essential information to scientists who want to study GO-based membranes for desalination and business leaders who need to evaluate the current state and operational viability of this technology.

Chemical Engineering Journal AdvancesVol. 24
Shahjalal University of Science and Technology (BD), Atish Dipankar University of Science and Technology (BD), Dhaka University of Engineering & Technology (BD)
Openalex Percentile: Top 14%
Membrane Separation Technologies
1.63
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