Evidence map›Paper›PMID 35454603›Full record

ArticleMaterials (Basel, Switzerland)2022

Bibliometric Analysis of Artificial Intelligence in Textiles.

Habiba Halepoto, Tao Gong, Saleha Noor, Hafeezullah Memon

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Advanced Materials for Clothing and Textile Engineering.Materials (Basel, Switzerland) · 2023
    Article
  3. Review
  4. 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

4 authors.

Habiba HalepotoEngineering Research Center of Digitized Textile and Fashion Technology, Donghua University, Shanghai 201620, China.ORCID 0000-0003-1045-6530
Tao GongEngineering Research Center of Digitized Textile and Fashion Technology, Donghua University, Shanghai 201620, China.
Saleha NoorSchool of Information Science and Engineering, East China Science and Technology University, Shanghai 200237, China.
Hafeezullah MemonCollege of Textile Science and Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China.ORCID 0000-0001-5985-5394

Funding

Research Fund for International Scientists, National Natural Science Foundation of China RFIS-52150410416Research Startup grant of ZSTU 20202294-Y
6 · The paper itself

Abstract

Generally, comprehensive documents are needed to provide the research community with relevant details of any research direction. This study conducted the first descriptive bibliometric analysis to examine the most influential journals, institutions, and countries in the field of artificial intelligence in textiles. Furthermore, bibliometric mapping analysis was also used to examine diverse research topics of artificial intelligence in textiles. VOSviewer was used to process 996 articles retrieved from Web of Science-Core Collection from 2007 to 2020. The results show that China and the United States have the largest number of publications, while Donghua University and Jiangnan University have the highest output. These three themes have also appeared in textile artificial intelligence publications and played a significant role in the textile structure, textile inspection, and textile clothing production. The authors believe that this research will unfold new research domains for researchers in computer science, electronics, material science, imaging science, and optics and will benefit academic and industrial circles.

Indexed as

artificial intelligencebibliometric analysisresearch trendtextilesWeb of Science

Identifiers

PMID35454603
PMCPMC9027006

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.