Knowledge Engineering and Data Science
Universitas Negeri Malang Β· Indonesia Β· Est. 2017
Aims & Scope⦠Inferred from recent articles
This journal focuses on the application of artificial intelligence and machine learning techniques to solve complex problems across various domains. It features research on data science methodologies, knowledge engineering, and the development of predictive and analytical models. The journal covers topics such as image recognition, natural language processing, time series forecasting, and classification tasks, often with an emphasis on practical applications and performance evaluation.
AI-summarised from recent articles Β· verify on publisher page β
General Information
Submission Info
Ethics & Quality
Think.Check.Submit Compliance
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Source: OpenAlex Β· Each yearβs green bar = citations earned by that yearβs papers, counted to date β so recent years look lower simply because their papers havenβt had time to be cited yet.
Subject Classification
Research Topics (OpenAlex)
Frequently asked questions about Knowledge Engineering and Data Science
Is Knowledge Engineering and Data Science a predatory journal?
PubScope has no integrity flags on record for Knowledge Engineering and Data Science: it is indexed in DOAJ, and is not on DOAJ's withdrawn list. Its PubScope Trust Score is 52/100. Indexing is a transparency signal, not a guarantee β always confirm fit and policies before submitting.
What is the impact factor of Knowledge Engineering and Data Science?
Knowledge Engineering and Data Science is not in the Web of Science Core Collection, so it has no official Clarivate Journal Impact Factor. Its open 2-year mean citedness is 0.53.
Is Knowledge Engineering and Data Science indexed in Scopus and Web of Science?
Knowledge Engineering and Data Science is indexed in DOAJ.
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See all βData updated: 2026-05-26 Β· Sources: SJR, DOAJ, OpenAlex, WoS, Crossref