Evidence map›Paper›PMID 42890428›Full record

ReviewRSC advances2026

Design and fabrication of graphene oxide-based nanocomposites with tuneable morphological properties for advanced supercapacitor applications.

Mohammad Mizanur Rahman Khan, Md Mahamudul Hasan Rumon, Jae-Ho Jeong

Abstract readReview
In one paragraph

Review in RSC advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Mohammad Mizanur Rahman KhanDepartment of Chemistry, Shahjalal University of Science and Technology Sylhet-3114 Bangladesh mmrkhan-che@sust.edu.ORCID https://orcid.org/0000-0001-6382-2085
Md Mahamudul Hasan RumonDepartment of Chemistry, Bangladesh University of Engineering and Technology Dhaka 1000 Bangladesh.ORCID https://orcid.org/0000-0002-0459-5035
Jae-Ho JeongSchool of Mechanical Engineering, College of Engineering, Chung-Ang University 84 Heukseok-Ro, Dongjak-Gu Seoul 06974 Republic of Korea jaehojeong@cau.ac.kr.ORCID https://orcid.org/0000-0002-1797-2565

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quicker progress of renewable energy conversion and storage technologies has resulted in devices that are more efficient and operate steadily, thus helping in alleviation of global energy crisis. Although much research is still underway on GO-based electrodes for supercapacitors, their performance is not yet suitable for commercial implementation. There is still a knowledge gap regarding the morphological characteristics, synthesis, and design of appropriate materials for supercapacitor applications. The current review particularly highlights the synthesis approaches and morphological features of GO-based composites and their use as electrodes for high-performance supercapacitors (HPSs). We discuss in detail the synthesis methods and their associated mechanisms, as well as the electrochemical methods used to fabricate supercapacitors (SCs). Most importantly, the electrochemical performance and potential applications of these GO-based nanocomposites in SCs are explored. This review also highlights the recent advances in GO-based nanocomposites incorporated with metal-based materials and polymers, along with their corresponding electrochemical performance in SCs. Large-scale applications require HPSs, and this review provides a comprehensive overview that offers valuable insights into the applicability of GO-based nanocomposites in HPSs.

Identifiers

PMID42890428
PMCPMC13673144

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.