This journal focuses on the application of computational methods, particularly machine learning and artificial intelligence, to address challenges in cheminformatics and related fields. Articles explore the development and evaluation of models for predicting molecular properties, protein solubility, and chemical reactions, as well as for molecular generation, visualization, and data representation. The scope also includes the semantic organization of chemical data and the interpretation of structure-activity relationships.
British Library; Koninklijke Bibliotheek, CLOCKSS, LOCKSS, Portico, PMC
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Plagiarism detection in place?
Yes
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Listed in DOAJ (verified OA)?
DOAJ verified
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Primary language documented?
English
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Computer Graphics and Computer-Aided DesignQ1
Computer Science ApplicationsQ1
Library and Information SciencesQ1
Physical and Theoretical ChemistryQ1
Subject Classification
Web of Science Categories
Chemistry, MultidisciplinaryComputer Science, Information SystemsComputer Science, Interdisciplinary Applications
Scopus Categories
Library and Information SciencesComputer Science ApplicationsComputer Graphics and Computer-Aided DesignPhysical and Theoretical Chemistry
Research Topics (OpenAlex)
Computational Drug Discovery MethodsMachine Learning in Materials ScienceProtein Structure and DynamicsMetabolomics and Mass Spectrometry StudiesAnalytical Chemistry and ChromatographyBiomedical Text Mining and OntologiesMachine Learning in BioinformaticsBioinformatics and Genomic NetworksChemical Synthesis and AnalysisScientific Computing and Data Management