Evolving Systems
Leading citation impact metric from Clarivate Journal Citation Reports
47 papers with at least that number of citations each
State Council for Professorship (HĐGSNN) Scoring
Quyết định số 26/QĐ-HĐGSNN ngày 11/7/2025 (Mục quốc tế)
HĐGSNN Score History
By article publication year| Year | Max Score | Evaluation Details | Source |
|---|---|---|---|
| 2026 | 1.75đ | WoS Q2 có IF ≥ 2.0(IF: 3.7) | 🔵 Computed |
| 2025 | 1.75đ | WoS Q2 có IF ≥ 2.0(IF: 2.7) | 🔵 Computed |
| 2024 | 1.75đ | WoS Q2 có IF ≥ 2.0(IF: 2.7) | 🔵 Computed |
| 2023 | 1.75đ | WoS Q2 có IF ≥ 2.0(IF: 3.2) | 🔵 Computed |
| 2022 | 1.75đ | WoS Q2 có IF ≥ 2.0(IF: 2.347) | 🔵 Computed |
Note: Domestic journal scores are officially collected from annual HĐGSNN decisions across councils. International journal scores are dynamically computed according to Decision 26/QĐ-HĐGSNN based on quartile and citation metrics in the publication year.
Aims & Scope
Evolving Systems covers surveys, methodological, and application-oriented papers in the area of dynamically evolving systems. ‘Evolving systems’ are inspired by the idea of system model evolution in a dynamically changing and evolving environment. In contrast to the standard approach in machine learning, mathematical modelling and related disciplines where the model structure is assumed and fixed a priori and the problem is focused on parametric optimisation, evolving systems allow the model structure to gradually change/evolve. The aim of such continuous or life-long learning and domain adaptation is self-organization. It can adapt to new data patterns, is more suitable for streaming data, transfer learning and can recognise and learn from unknown and unpredictable data patterns. Such properties are critically important for autonomous, robotic systems that continue to learn and adapt after they are being designed (at run time). Evolving Systems solicits publications that address the problems of all aspects of system modelling, clustering, classification, prediction and control in non-stationary, unpredictable environments and describe new methods and approaches for their design. The journal is devoted to the topic of self-developing, self-organised, and evolving systems in its entirety — from systematic methods to case studies and real industrial applications. It covers all aspects of the methodology such as Evolving Systems methodology Evolving Neural Networks and Neuro-fuzzy Systems Evolving Classifiers and Clustering Evolving Controllers and Predictive models Evolving Explainable AI systems Evolving Systems applications but also looking at new paradigms and applications, including medicine, robotics, business, industrial automation, control systems, transportation, communications, environmental monitoring, biomedical systems, security, and electronic services, finance and economics. The common features for all submitted methods and systems are the evolving nature of the systems and the environments. The journal is encompassing contributions related to: 1) Methods of machine learning, AI, computational intelligence and mathematical modelling 2) Inspiration from Nature and Biology, including Neuroscience, Bioinformatics and Molecular biology, Quantum physics 3) Applications in engineering, business, social sciences.
SCImago & Scopus Journal Intelligence
Global SCImago ranking, SJR prestige index, Scopus coverage, and societal policy impact
Weighted prestige citation metric per document indexed in the Scopus database.
Measures cumulative publication volume and citation impact.
Average citations received per document published in the 2-year window.
Estimated Article Processing Charge for Open Access publication.
Scopus 3-Year Publication & Citation Window
Aggregated from Scopus database across the 3-year SJR evaluation window.
Societal Impact & Inclusivity (SCImago)
Citations in government and international policy documents
Percentage of female authors published in the journal
Real-world societal policy reach and author gender diversity tracked by SCImago.
Scopus Subject Categories
Chinese Academy of Sciences (CAS) Classification
Major / minor zone classification and CAS Early Warning List history
Publishing & Editorial Information
Detailed publisher, peer-review turnaround, and publication cycle specifications
WoS Categories & Quartiles
Detailed JCR / JCI category rankings and quartile breakdown from Clarivate
| Category | Index | Rank | Quartile |
|---|---|---|---|
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | JCRSCIE | 98/210 | Q2 |
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | JCISCIE | 130/210 | Q3 |
Annual Historical Statistics & Publications
Track annual publication volume, total citations, and Impact Factor evolution
| Year | Impact Factor | Articles / Year | Total Citations |
|---|---|---|---|
| 2026 | — | 88 | 17 |
| 2025 | 2.7 | 128 | 415 |
| 2024 | 2.7 | 90 | 810 |
| 2023 | 3.2 | 76 | 980 |
| 2022 | 2.347 | 74 | 1,419 |
| 2021 | — | 46 | 861 |
| 2020 | — | 36 | 1,166 |
| 2019 | — | 60 | 1,444 |
| 2018 | — | 45 | 910 |
| 2017 | — | 44 | 621 |
| 2016 | — | 28 | 745 |
| 2015 | — | 18 | 432 |
Journal Metrics & Citation Visualizations
Impact Factor Trend (2018–2024)
Clarivate IF trend for Evolving Systems
Total Cites vs Self-Cites
Evaluation of scholarly independence and citation reach
Citations per Document
Citation metric windows across 2, 3, and 4 years
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Journals in the same research field with comparable impact metrics