Frontiers in Biomedical Technologies
Tehran University of Medical Sciences
About the journal
Frontiers in Biomedical Technologies is an open-access journal published by Tehran University of Medical Sciences in Iran, publishing in english. It is listed in DOAJ according to the sources read. Declared review time at DOAJ: 12 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- Tehran University of Medical Sciences
- ISSN
- 2345-5837 · 2345-5829
- Country
- Iran
- Languages
- english
- Access
- Open access
- Articles in DOAJ
- 461
- Declared review time
- 12 weeks
- Declared peer-review model
- double_blind
- Official website
- https://fbt.tums.ac.ir
Index listings
- DOAJ · 2020-10-22
- Indexing
- DOAJ
- APC
- —
- Declared review time (DOAJ)
- 12 weeks — journal-declared only (not measured)
- Activity (OpenAlex)
- Active — latest works 2026
- PublishLens list status
- Shown after sign-in
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- Choose your university and rank below ↓
Methodology signals (dated facts from their sources)
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Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.
Articles in DOAJ
461
Most recent article
11 months ago
Average review time (journal-declared via DOAJ)
12weeks
Works in OpenAlex
402
Last recorded publication year
2026
h-index
11
i10-index
13
From OpenAlex open data (CC0).
Editorial & policy10
- Last DOAJ review date
- 2020-10-22
- Added to DOAJ
- 2020-10-22
- Declared plagiarism screening
- Declared
- Other fees beyond APC
- No
- Observed digital preservation (Keepers registry)— snapshot 2026-10-05
- Portico
- Editorial board
- Official page ↗
- Open references deposited at Crossref
- 0%
- ORCID iDs in current deposits
- 0%
- Enrolled in Crossref Similarity Check
- ✓
- Peer-review policy
- View policy
Identity & continuity1
- Source type
- journal
Classification2
Subjects (DOAJ)
LCC codes
Subject areas
- EEG and Brain-Computer Interfaces
- EEG and Brain-Computer Interfaces
- Radiomics and Machine Learning in Medical Imaging
- Radiomics and Machine Learning in Medical Imaging
- Advanced Radiotherapy Techniques
- Radiation Dose and Imaging
- Advanced Radiotherapy Techniques
- Radiation Dose and Imaging
Show all subjects (50)
- Advanced X-ray and CT Imaging
- Advanced X-ray and CT Imaging
- Radiation Therapy and Dosimetry
- Radiation Therapy and Dosimetry
- Medical Imaging Techniques and Applications
- Medical Imaging Techniques and Applications
- Functional Brain Connectivity Studies
- Functional Brain Connectivity Studies
- Brain Tumor Detection and Classification
- Infrared Thermography in Medicine
- Infrared Thermography in Medicine
- Brain Tumor Detection and Classification
- Advanced MRI Techniques and Applications
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Nuclear Physics and Applications
- Nuclear Physics and Applications
- Radiopharmaceutical Chemistry and Applications
- Radiopharmaceutical Chemistry and Applications
- MRI in cancer diagnosis
- COVID-19 diagnosis using AI
- MRI in cancer diagnosis
- Photoacoustic and Ultrasonic Imaging
- Advances in Oncology and Radiotherapy
- Advances in Oncology and Radiotherapy
- Photoacoustic and Ultrasonic Imaging
- Ultrasound and Hyperthermia Applications
- Radiation Detection and Scintillator Technologies
- Medical Imaging and Analysis
- COVID-19 diagnosis using AI
- Medical Imaging and Analysis
- Lung Cancer Diagnosis and Treatment
- Ultrasound and Hyperthermia Applications
- Radiation Detection and Scintillator Technologies
- Dental Radiography and Imaging
- AI in cancer detection
- Dental materials and restorations
- AI in cancer detection
- Optical Imaging and Spectroscopy Techniques
- Nanoplatforms for cancer theranostics
- Emotion and Mood Recognition
Keywords (DOAJ)
- biomedical technologies
- medical robotics
- biomechanics
- bioelectric and biomaterial
- medical engineering
Community confirmations — what users saw in MJL or Scopus Sources; not platform verification and never part of any score.
The journal's record in other sources:Web of Science MJLDOAJ