Digital Chinese Medicine

KeAi Communications Co., Ltd.

Journal websitePeer review: Double-blind review
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About the journal

Digital Chinese Medicine is an open-access journal published by KeAi Communications Co., Ltd. in China, 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
KeAi Communications Co., Ltd.
ISSN
2096-479X · 2589-3777
Country
China
Languages
english
Access
Open access
Articles in DOAJ
266
Declared review time
12 weeks
Declared peer-review model
double_blind

Index listings

  • DOAJ · 2020-01-24
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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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.

Articles in DOAJ

266

Most recent article

4 months ago

Average review time (journal-declared via DOAJ)

12weeks

Works in OpenAlex

317

Last recorded publication year

2025

Reported by OpenAlex in 2 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core

h-index

18

i10-index

29

From OpenAlex open data (CC0).

Editorial & policy10
Last DOAJ review date
2024-04-04
Added to DOAJ
2020-01-24
Declared plagiarism screening
Declared
Other fees beyond APC
No
Declared digital preservation
CLOCKSSPortico
Observed digital preservation (Keepers registry)— snapshot 2026-10-05
CLOCKSSPortico
Editorial board
Official page ↗
Open references deposited at Crossref
99%
ORCID iDs in current deposits
0%
Deposits licence metadata at Crossref
✓
Peer-review policy
View policy
Identity & continuity1
Source type
journal
Classification3

Subjects (DOAJ)

Medicine: Other systems of medicine

LCC codes

RRZ201-999

Subject areas

  • Traditional Chinese Medicine Studies
  • Traditional Chinese Medicine Studies
  • Traditional Chinese Medicine Studies
  • Medical Research and Treatments
  • Traditional Chinese Medicine Analysis
  • Computational Drug Discovery Methods
  • Traditional Chinese Medicine Analysis
  • Traditional Chinese Medicine Analysis
Show all subjects (75)
  • Pharmacological Effects of Natural Compounds
  • Pharmacological Effects of Natural Compounds
  • Artificial Intelligence in Healthcare
  • Acupuncture Treatment Research Studies
  • Acupuncture Treatment Research Studies
  • Metabolomics and Mass Spectrometry Studies
  • Metabolomics and Mass Spectrometry Studies
  • Artificial Intelligence in Healthcare and Education
  • Acupuncture Treatment Research Studies
  • Natural product bioactivities and synthesis
  • Natural product bioactivities and synthesis
  • Computational Drug Discovery Methods
  • Computational Drug Discovery Methods
  • Phytochemistry and Biological Activities
  • Healthcare and Venom Research
  • Healthcare and Venom Research
  • Medical Research and Treatments
  • Medical Research and Treatments
  • Plant-based Medicinal Research
  • Human auditory perception and evaluation
  • Diverse Scientific and Economic Studies
  • Ginseng Biological Effects and Applications
  • Machine Learning in Healthcare
  • Diverse Scientific and Economic Studies
  • Human auditory perception and evaluation
  • Plant-based Medicinal Research
  • Ginseng Biological Effects and Applications
  • Machine Learning in Healthcare
  • Tryptophan and brain disorders
  • Natural Antidiabetic Agents Studies
  • Tryptophan and brain disorders
  • Medicinal Plant Extracts Effects
  • Natural Compounds in Disease Treatment
  • Phytochemistry and Biological Activities
  • Medicinal Plants and Bioactive Compounds
  • Lipid metabolism and disorders
  • Phytochemistry and Biological Activities
  • Medicinal Plants and Bioactive Compounds
  • Advanced Neural Network Applications
  • Lipid metabolism and disorders
  • Treatment of Major Depression
  • Gut microbiota and health
  • Cancer-related molecular mechanisms research
  • Biomedical Text Mining and Ontologies
  • Gut microbiota and health
  • Educational Robotics and Engineering
  • Educational Robotics and Engineering
  • Chromatography in Natural Products
  • Biomedical Text Mining and Ontologies
  • Cancer-related molecular mechanisms research
  • Non-Invasive Vital Sign Monitoring
  • Bioinformatics and Genomic Networks
  • Gut microbiota and health
  • Medicinal Plants and Neuroprotection
  • Chromatography in Natural Products
  • scientometrics and bibliometrics research
  • Glaucoma and retinal disorders
  • Ocular Surface and Contact Lens
  • Complementary and Alternative Medicine Studies
  • Retinal Diseases and Treatments
  • Ginseng Biological Effects and Applications
  • Medicinal Plant Research
  • Essential Oils and Antimicrobial Activity
  • Glaucoma and retinal disorders
  • Essential Oils and Antimicrobial Activity
  • Topic Modeling
  • Alzheimer's disease research and treatments

Keywords (DOAJ)

  • data mining
  • intelligent diagnosis and treatment of tcm
  • modernization of chinese medicine
  • digitalization theory of tcm
  • digital acupuncture and moxibustion
  • big data of health

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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

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