Home›Search›Transactions on Artificial Intelligence

Transactions on Artificial Intelligence

Scilight Press Pty Ltd · Australia

eISSN2982-3439

✓ DOAJ✓ Open Access

/ 100

High Risk

Score Breakdown

✓ DOAJ Verified+15

Total15

Aims & Scope

The Transactions on Artificial Intelligence (TAI) is a peer-reviewed, open-access journal dedicated to advancing trustworthy, explainable, and human-centered AI. The journal highlights emerging frontiers—including generative AI, autonomous systems, AI safety, and data-centric intelligence—while maintaining strong coverage of core AI theory and methodologies. Transactions on Artificial Intelligence is published continuously online by Scilight Press. The journal will publish original research articles, short communications, and survey papers on a broad range of topics in AI technologies and applications, including but not limited to: AI Foundation AI Technologies and Tools AI for Science AI for Engineering AI for Medicine AI for Social Sciences AI for Humanities AI for Arts

General Information

Country / RegionAustralia

Primary LanguageEnglish

1st Year Published—

Frequencycontinuously online

StatusActive

Total Publications—

Visit Journal Website

Submission Info

APC Cost$1,000Below median

Peer ReviewPeer review

Review Time—

Acceptance Rate—

OA LicenseCC BY

OA Rate—

Ethics & Quality

COPE Member✗ No

OASPA Member✗ No

Not on Predatory Lists✓ Yes

Think.Check.Submit Compliance

thinkchecksubmit.org

9/12 · 75%

✅

Do you know the journal / publisher?

Scilight Press Pty Ltd

✅

Does the journal have a website?

✓ Linked

✅

Is the ISSN verified?

2982-3439

✅

Indexed in a trusted database?

DOAJ

✅

Peer review process documented?

Peer review

❌

Follows ethical publishing standards (COPE)?

N/A

✅

APC fees clearly disclosed?

$1,000

✅

Not on predatory/blacklists?

✓ Clean

❌

Long-term digital preservation?

N/A

❌

Plagiarism detection in place?

N/A

✅

Listed in DOAJ (verified OA)?

DOAJ verified

✅

Primary language documented?

English

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Subject Classification

Research Topics (OpenAlex)

Machine Learning in HealthcareAesthetic Perception and AnalysisNetwork Security and Intrusion DetectionGenerative Adversarial Networks and Image SynthesisMusic Technology and Sound StudiesArtificial Intelligence in Healthcare and EducationTopic ModelingSepsis Diagnosis and TreatmentFunctional Brain Connectivity StudiesEEG and Brain-Computer Interfaces