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Journal

Fire

ISSN:
2571-6255
4
h-index
38
Citations
12
Works
0.33
2-year mean citedness

Trust signals

1 of 3 signals present

Independent positive signals — not a single “predatory/legitimate” verdict, but a converging picture.

  • DOAJ
    No data
    doaj.org
  • OAK list
    No data
    OAK
  • Valid ISSN
    Present
    ISSN

This is an information label, not an official ruling. A missing signal is not a penalty — a regional journal may simply not be in DOAJ.

Most-cited works

  1. Advancing Maritime Safety: Early Detection of Ship Fires through Computer Vision, Deep Learning Approaches, and Histogram Equalization Techniques202412 citations
  2. Dehazing Algorithm Integration with YOLO-v10 for Ship Fire Detection20247 citations
  3. Fire and Smoke Detection in Complex Environments20244 citations
  4. Advanced Object Detection for Maritime Fire Safety20244 citations
  5. Lightweight UAV-Based System for Early Fire-Risk Identification in Wild Forests20252 citations
  6. AI-Driven UAV Surveillance for Agricultural Fire Safety20252 citations
  7. Lightweight Deep Learning Model for Fire Classification in Tunnels20252 citations
  8. Revolutionizing Wildfire Detection Through UAV-Driven Fire Monitoring with a Transformer-Based Approach20241 citations
  9. Lightweight Fire Detection in Tunnel Environments20251 citations
  10. Optimizing Fire Scene Analysis: Hybrid Convolutional Neural Network Model Leveraging Multiscale Feature and Attention Mechanisms20241 citations
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