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SCOPUS

Journal of Uncertain Systems

World Scientific, Singapore

Journal of Uncertain Systems is an academic journal published by World Scientific (Singapore). Identifiers: ISSN 1752-8909, eISSN 1752-8917. Indexed in SCOPUS. Metrics: CiteScore 2.4, SJR 0.422, SNIP 0.69. tlooto lists 89 papers from this journal.

CiteScore

2.40

Scopus citation metric

SJR

0.422

SCImago rank

SNIP

0.69

Source normalized impact

Percentage rank

-

JIF percentile rank

Journal profile

ISSN
1752-8909
eISSN
1752-8917
Abbreviation
-
Publisher
World Scientific
Country
Singapore

Web of Science categories

No Web of Science category data available.

Scopus ASJC categories

170217072606 Control and Optimization

Papers in this journal

Recent papers

  1. Type 2 Interval Valued Caputo Fractional Differential Equations

    2026

  2. Existence and Uniqueness Results for the Solution of Interval Fredholm Integral Equations via Fixed-Point Theorem under a Parametric Framework

    2026

  3. An Integrated Uncertainty Based Deep Learning Framework for Melanoma Diagnosis and Lesion Segmentation

    2026

  4. Hybrid Metaheuristics: A Neutrosophic Birnbaum Importance-Guided Reptile Search Algorithm (RSANBIM) for Reliability Optimization under Uncertainty

    2026

  5. Numerical Solutions of an Initial Value Cauchy Problem in Neutrosophic Environment

    2026

Most cited papers

  1. High-Frequency CSI300 Spot and Futures Price Predictions via the Neural Network

    2025 · 78 citations

  2. Contemporaneous Causal Analysis of Housing Prices Across Guangdong’s Major Cities: Employing Vector Error-Correction Modeling and Directed Acyclic Graphs

    2026 · 50 citations

  3. A Bayesian-Tuned Gaussian Process Approach to Forecasting Carbon Market Prices: A Case Study of China’s Emissions Trading Scheme

    2026 · 23 citations

  4. Predicting the Trading Volume of the Thermal Coal Futures Through Gaussian Process Regressions

    2026 · 19 citations

  5. Forecasting Residential Property Prices in Jiaxing City, China: A Hybrid Machine Learning Framework Integrating Gaussian Process Regressions and Bayesian Optimization

    2026 · 8 citations