Home›Search›JOURNAL OF COMPUTER AIDED CHEMISTRY

JOURNAL OF COMPUTER AIDED CHEMISTRY

CHEMICAL SOC JAPAN · JP

ISSN1345-8647eISSN1345-8647

✓ WOS ESCI

/ 100

High Risk

Score Breakdown

✓ WoS ESCI+10

Total10

Journal Impact Factor

This journal is indexed in Web of Science (JCR) and has an official Journal Impact Factor. View on Clarivate Master Journal List ↗

Aims & Scope✦ Compiled from public sources

The Journal of Computer Aided Chemistry publishes research in the field of Chemistry and Multidisciplinary subjects. It is published by The Chemical Society of Japan.

AI-compiled from public web sources · verify on the publisher page

General Information

Country / RegionJP

Primary LanguageEnglish

1st Year Published—

StatusActive

Total Publications—

Submission Info

Peer Review—

Review Time—

Acceptance Rate—

OA License—

OA Rate—

Ethics & Quality

COPE Member✗ No

OASPA Member✗ No

Not on Predatory Lists✓ Yes

Think.Check.Submit Compliance

thinkchecksubmit.org

4/12 · 33%

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Do you know the journal / publisher?

CHEMICAL SOC JAPAN

❌

Does the journal have a website?

No URL

✅

Is the ISSN verified?

1345-8647 / 1345-8647

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Indexed in a trusted database?

N/A

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Peer review process documented?

N/A

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Follows ethical publishing standards (COPE)?

N/A

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APC fees clearly disclosed?

N/A

✅

Not on predatory/blacklists?

✓ Clean

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Long-term digital preservation?

N/A

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Plagiarism detection in place?

N/A

❌

Listed in DOAJ (verified OA)?

N/A

✅

Primary language documented?

English

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Subject Classification

Web of Science Categories

Chemistry, Multidisciplinary

Research Topics (OpenAlex)

Computational Drug Discovery MethodsAnalytical Chemistry and ChromatographySpectroscopy and Chemometric AnalysesMetabolomics and Mass Spectrometry StudiesRNA and protein synthesis mechanismsProtein Structure and DynamicsDNA and Nucleic Acid ChemistryHistory and advancements in chemistryAdvanced Chemical Sensor TechnologiesMachine Learning in Materials Science