Coloration Technology

Aims & Scope

The primary mission of Coloration Technology is to promote innovation and fundamental understanding in the science and technology of coloured materials by providing a medium for communication of peer-reviewed research papers of the highest quality.

It is internationally recognised as a vehicle for the publication of theoretical and technological papers on the subjects allied to all aspects of coloration.

Regular sections in the journal include reviews, original research and reports, feature articles, short communications and book reviews.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.2
2024	2.00

Journal Rank

Year	Value
2024	14073

Journal Citation Indicator

Year	Value
2024	493

SJR (SCImago Journal Rank)

Year	Value
2024	0.389

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	62

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Chemical Engineering, Chemistry and Materials Science, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Industrial organic photochromic dyes

  Citation: 188

  Authors: S, Steven M, Andrew D

• Review on decolorisation of aqueous dye solutions by low cost adsorbents

  Citation: 177

  Authors: Rashmi, Bani

• Innovative technologies for high performance textiles

  Citation: 172

  Authors: Ian

• Supercritical fluid dyeing of synthetic and natural textiles – a review

  Citation: 162

  Authors: Mauro

• Improving the environmental and economic aspects of cotton dyeing using a cationised cotton^â€

  Citation: 139

  Authors: Peter J, Adham H

• Automatic fabric defect detection using a deep convolutional neural network

  Citation: 136

  Authors: Jun‐Feng, Hao, Huan‐Huan

• Antimicrobial properties of natural dyes against Gram‐negative bacteria

  Citation: 136

  Authors: Deepti, Sudhir Kumar, Ankur

• Synthesis of an amino‐terminated hyperbranched polymer and its application in reactive dyeing on cotton as a salt‐free dyeing auxiliary

  Citation: 132

  Authors: Feng, Yuyue, Hong, Yanhua

• Electrokinetic properties of textile fabrics

  Citation: 131

  Authors: Ana Marija, Anita, Tanja

• A review of the effects of dye‐assisting chemicals on advanced oxidation of reactive dyes in wastewater

  Citation: 129

  Authors: Idil

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