This journal focuses on explainable artificial intelligence (XAI) methods for various machine learning models, including quantum classifiers, large language models (LLMs), and knowledge graph embeddings. It also covers topics related to fairness, causal inference, and uncertainty quantification in machine learning.
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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.
Artificial IntelligenceQ1
SoftwareQ1
Subject Classification
Web of Science Categories
Computer Science, Artificial Intelligence
Scopus Categories
SoftwareArtificial Intelligence
Research Topics (OpenAlex)
Machine Learning and AlgorithmsMachine Learning and Data ClassificationNeural Networks and ApplicationsData Mining Algorithms and ApplicationsBayesian Modeling and Causal InferenceImbalanced Data Classification TechniquesFace and Expression RecognitionReinforcement Learning in RoboticsAlgorithms and Data CompressionDomain Adaptation and Few-Shot Learning