Journal of X-Ray Science and Technology

IOS Press

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About the journal

Journal of X-Ray Science and Technology is a journal published by IOS Press in United States. It is listed in MEDLINE and PUBMED according to the sources read. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
IOS Press
ISSN
0895-3996 · 1095-9114
Country
United States
Access
Not open access / not declared

Index listings

  • MEDLINE · 2009-01-01
  • PUBMED · 1989-01-01
Indexing
MEDLINE · PUBMED
APC
—
Declared review time (DOAJ)
—
Activity (OpenAlex)
Active — latest works 2026
PublishLens list status
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Methodology signals (dated facts from their sources)

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Journal profile

Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.

Works in OpenAlex

1775

Last recorded publication year

2026

Reported by OpenAlex in 1 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core

h-index

43

i10-index

448

From OpenAlex open data (CC0).

Editorial & policy5
Observed digital preservation (Keepers registry)— snapshot 2026-09-21
CLOCKSSPortico
Norwegian register (HK-dir)— 2026
Level 1 — approved scholarly channel
Open references deposited at Crossref
99%
ORCID iDs in current deposits
48%
Enrolled in Crossref Similarity Check
✓
Deposits licence metadata at Crossref
✓
Identity & continuity2
Source type
journal
NLM unique ID (PubMed)
9000080
Classification(no data)

No data available to the platform for this group

No platform data for: Classification — absence is not a judgment about the journal.

Subject areas

  • Advanced X-ray and CT Imaging
  • Medical Imaging Techniques and Applications
  • Medical Imaging Techniques and Applications
  • Advanced X-ray and CT Imaging
  • Advanced X-ray Imaging Techniques
  • Advanced X-ray Imaging Techniques
  • Radiation Dose and Imaging
  • Radiation Dose and Imaging
Show all subjects (50)
  • Digital Radiography and Breast Imaging
  • Digital Radiography and Breast Imaging
  • Advanced Radiotherapy Techniques
  • Advanced Radiotherapy Techniques
  • Radiomics and Machine Learning in Medical Imaging
  • Radiomics and Machine Learning in Medical Imaging
  • Medical Image Segmentation Techniques
  • Medical Image Segmentation Techniques
  • X-ray Spectroscopy and Fluorescence Analysis
  • X-ray Spectroscopy and Fluorescence Analysis
  • Advanced MRI Techniques and Applications
  • Advanced MRI Techniques and Applications
  • COVID-19 diagnosis using AI
  • COVID-19 diagnosis using AI
  • AI in cancer detection
  • AI in cancer detection
  • Cardiac Imaging and Diagnostics
  • Cardiac Imaging and Diagnostics
  • Dental Radiography and Imaging
  • Dental Radiography and Imaging
  • Nuclear Physics and Applications
  • Lung Cancer Diagnosis and Treatment
  • Nuclear Physics and Applications
  • Lung Cancer Diagnosis and Treatment
  • Brain Tumor Detection and Classification
  • Brain Tumor Detection and Classification
  • Laser-Plasma Interactions and Diagnostics
  • Laser-Plasma Interactions and Diagnostics
  • Advanced Neural Network Applications
  • Advanced Neural Network Applications
  • Crystallography and Radiation Phenomena
  • Crystallography and Radiation Phenomena
  • Radiation Therapy and Dosimetry
  • Radiation Therapy and Dosimetry
  • Photoacoustic and Ultrasonic Imaging
  • Photoacoustic and Ultrasonic Imaging
  • Image and Signal Denoising Methods
  • Radiation Shielding Materials Analysis
  • Radiation Shielding Materials Analysis
  • Image and Signal Denoising Methods
  • X-ray Diffraction in Crystallography
  • X-ray Diffraction in Crystallography

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The journal's record in other sources:Web of Science MJLDOAJ

Everything shown here is produced automatically from named sources (DOAJ, OpenAlex, Crossref, PubMed, the Norwegian register) as of its capture date, with no human editing. Facts appear as recorded at the source; derived scores (PCI, PTD, PublishLens score) follow a published methodology. Not a judgement on the journal, not an official accreditation, not advice.

Wrong items are corrected automatically by re-reading the source (24 h for daily sources, 7 days for weekly ones) with a dated change log, and each item links to its source record. PublishLens-derived assessments are contested through the appeals mechanism (15 working days). Appeals · Indicator guide

Norwegian register data: Kanalregisteret (HK-dir, Norway) — CC BY 4.0 / NLOD — adapted: level extracted per year · OASPA member list — CC BY

Last automated source read: