Artikel Systematic review mengenai Explainable Artificial Intelligence: Quartile, Sitasi dan Tahun Terbit

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Tabel Judul, Tahun, Source, Quartile dan Jumlah Sitasi per Januari 2023

Artikel Systematic Review mengenai XAI, Quartile , Sitasi dan Tahun Terbit.

Jumlah Artikel yang mereview mengenai Explainable Artificial Intelligence, meningkat dari tahun ke tahun. Tahun 2022 terlihat menurun pada grafik diatas, karena data diambil pada pertengahan tahun.

Dari grafik diatas, dapat dilihat bahwa sebagian besar artikel review mengenai XAI diterbitkan pada Jurnal Q1 (21 artikel), kemudian Q2 (7 Artikel). Terdapat empat Artikel yang diterbitkan pada Proceeding Conference, dan masing-masing satu artikel pada Jurnal Q3 dan Q4.

TitleYearSource titleQcited by (221223)
A Brief Bibliometric Survey of Explainable AI in Medical Field2021Library Philosophy and PracticeQ26
A Meta Survey of Quality Evaluation Criteria in Explanation Methods2022Lecture Notes in Business Information ProcessingQ33
A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence2021IEEE AccessQ1141
A Survey of Data-Driven and Knowledge-Aware eXplainable AI2022IEEE Transactions on Knowledge and Data EngineeringQ1101
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects2021Information FusionQ151
A survey of visual analytics for Explainable Artificial Intelligence methods2022Computers and Graphics (Pergamon)Q126
A Survey on Artificial Intelligence (AI) and eXplainable AI in Air Traffic Management: Current Trends and Development with Future Research Trajectory2022Applied Sciences (Switzerland)Q213
A survey on artificial intelligence assurance2021Journal of Big DataQ136
A Systematic Review of Explainable Artificial Intelligence in Terms of Different Application Domains and Tasks2022Applied Sciences (Switzerland)Q238
A Systematic Review of Human-Computer Interaction and Explainable Artificial Intelligence in Healthcare with Artificial Intelligence Techniques2021IEEE AccessQ123
A systematic review on model-agnostic XAI libraries2021CEUR Workshop Proceedings1
An Updated Survey on the Convergence of Distributed Ledger Technology and Artificial Intelligence: Current State, Major Challenges and Future Direction2022IEEE AccessQ12
Artificial Intelligence and COVID-19: A Systematic umbrella review and roads ahead2021Journal of King Saud University - Computer and Information SciencesQ111
Current challenges and future opportunities for xai in machine learning-based clinical decision support systems: A systematic review2021Applied Sciences (Switzerland)Q280
Deep Learning and Explainable Artificial Intelligence Techniques Applied for Detecting Money Laundering-A Critical Review2021IEEE AccessQ122
Emerging Artificial Intelligence-Empowered mHealth: Scoping Review2022JMIR mHealth and uHealthQ1
Explainability in supply chain operational risk management: A systematic literature review2022Knowledge-Based SystemsQ19
Explainable agents and robots: Results from a systematic literature review2019Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS288
Explainable AI and Reinforcement Learning—A Systematic Review of Current Approaches and Trends2021Frontiers in Artificial IntelligenceQ444
Explainable artificial intelligence in skin cancer recognition: A systematic review2022European Journal of CancerQ15
Explainable artificial intelligence in the medical domain: A systematic review202127th Annual Americas Conference on Information Systems, AMCIS 20215
Explainable artificial intelligence models using real-world electronic health record data: A systematic scoping review2020Journal of the American Medical Informatics AssociationQ1113
Explainable Student Performance Prediction Models: A Systematic Review2021IEEE AccessQ127
How Case-Based Reasoning Explains Neural Networks: A Theoretical Analysis of XAI Using Post-Hoc Explanation-by-Example from a Survey of ANN-CBR Twin-Systems2019Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Q268
How to explain AI systems to end users: a systematic literature review and research agenda2021Internet ResearchQ17
Human-XAI Interaction: A Review and Design Principles for Explanation User Interfaces2021Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Q212
Knowledge graphs as tools for explainable machine learning: A survey2022Artificial IntelligenceQ144
Logic-based technologies for multi-agent systems: a systematic literature review2021Autonomous Agents and Multi-Agent SystemsQ258
Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review2021Artificial Intelligence in MedicineQ130
On the road to explainable AI in drug-drug interactions prediction: A systematic review2022Computational and Structural Biotechnology JournalQ17
Overview of explainable artificial intelligence for prognostic and health management of industrial assets based on preferred reporting items for systematic reviews and meta-analyses2021SensorsQ110
Semantic web technologies for explainable machine learning models: A literature review2019CEUR Workshop Proceedings56
Sentiment Analysis of Customer Reviews of Food Delivery Services Using Deep Learning and Explainable Artificial Intelligence: Systematic Review2022FoodsQ15
SHIFTing artificial intelligence to be responsible in healthcare: A systematic review2022Social Science and MedicineQ16

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