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SCOPUS

Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications

Innovative Information Science and Technology Research Group, South Korea

Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications is an academic journal published by Innovative Information Science and Technology Research Group (South Korea). Identifiers: ISSN 2093-5374, eISSN 2093-5382. Indexed in SCOPUS. Metrics: CiteScore 4.6, SJR 0.280, SNIP 1.36. tlooto lists 345 papers from this journal.

CiteScore

4.60

Scopus citation metric

SJR

0.280

SCImago rank

SNIP

1.36

Source normalized impact

Percentage rank

-

JIF percentile rank

Journal profile

ISSN
2093-5374
eISSN
2093-5382
Abbreviation
-
Publisher
Innovative Information Science and Technology Research Group
Country
South Korea

Web of Science categories

No Web of Science category data available.

Scopus ASJC categories

170117051706

Papers in this journal

Recent papers

  1. Development of an Optimized Deep Learning Model for Automated Detection of Pigeon Pea Leaf Diseases Using Convolutional Neural Network

    2026

  2. Exploring Hybrid Optimization Techniques for High-Performance Heart Disease Prediction Models: Challenges and Solutions

    2026

  3. A Zero-Energy Cognitive Distillation Framework for 6G-Edge Autonomous Ubiquitous Learning Ecosystems

    2026

  4. Optimized FBMC-OQAM-CDMA Framework for Low-Complexity Interference Mitigation in MIMO Systems with Space-Time Coding

    2026 · 1 citations

  5. Enhanced Vision Transformer and Attention-Based Multi-Scale Feature Fusion for High Precision Non-Invasive Gender Classification in Silkworm Cocoon Datasets

    2026

Most cited papers

  1. Hierarchical Edge-Cloud Collaborative AI Algorithm for Energy-Efficient lot Management in Ubiquitous Computing Environments

    2025 · 15 citations

  2. Enhancing Cloud Resource Utilization Through Synthesizing

    2025 · 14 citations

  3. Adaptive Neuro-Fuzzy Congestion Control Algorithm for Real-Time Multimedia Networking in Cloud-Based E-Learning Platforms

    2025 · 13 citations

  4. Integrating Deep Learning Models and Data Augmentation Techniques for Improved Breast Cancer Detection

    2025 · 12 citations

  5. Fuzzy Attention U-Net Architecture Based Localization and YOLOv5 Detection for Fetal Cardiac Ultrasound Images

    2023 · 10 citations