Effects of Multidimensional Carbon-Based Nanomaterials on the Low-Carbon and High-Performance Cementitious Composites: A Critical Review.

Xiumei Gao, Wujun Fang, Weiwen Li, Peng Wang, Kashan Khan, Yihong Tang, Teng Wang

Abstract readReview

In one paragraph

Review in Materials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Formation of Graphene Agglomerates in MOC and Their Negative Influence on Material Properties.ACS omega · 2026
Article

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

7 authors.

Xiumei GaoCollege of Civil & Transportation Engineering, Shenzhen University, Shenzhen 518060, China.

Wujun FangCollege of Civil & Transportation Engineering, Shenzhen University, Shenzhen 518060, China.

Weiwen LiCollege of Civil & Transportation Engineering, Shenzhen University, Shenzhen 518060, China.

Peng WangCollege of Civil & Transportation Engineering, Shenzhen University, Shenzhen 518060, China.ORCID 0000-0002-2234-6892

Kashan KhanDepartment of Civil Engineering, Tianjin University, Tianjin 300072, China.

Yihong TangDepartment of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong 999077, China.

Teng WangDepartment of Civil Engineering, The University of Hong Kong, Hong Kong 999077, China.

Funding

Shenzhen Science and Technology Innovation Committee 20220811100052001Shenzhen Science and Technology Innovation Committee 20231122212907001Shenzhen Science and Technology Innovation Committee JCYJ20220531101415036Shenzhen University Young Faculty Research Start-up Project 868-000001032148

6 · The paper itself

Abstract

Cementitious composites are ubiquitous in construction, and more and more research is focused on improving mechanical properties and environmental effects. However, the jury is still out on which material can achieve low-carbon and high-performance cementitious composites. This article compares the mechanical and environmental performance of zero-dimensional fullerenes, one-dimensional carbon nanotubes (CNTs), two-dimensional graphene oxide (GO), and three-dimensional nano-graphite platelets (NGPs) on cementitious composites. The literature review shows that two-dimensional (2D) GO has the best mechanical and environmental performance, followed by 3D NGPs, 1D CNTs, and 0D fullerenes. Specifically, GO stands out for its lower energy consumption (120-140 MJ/kg) and CO

Indexed as

carbon-based nanomaterialscementitious compositeshigh performancelow carbonmultidimensional effects

Identifiers

PMID38793263

DOI10.3390/ma17102196

PMCPMC11122989

What OpenQuestion holds

Textmetadata

LicenceCC BY

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.