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ICCK Transactions on Emerging Topics in Artificial Intelligence

Institute of Central Computation and Knowledge Inc (ICCK) · United States

eISSN3068-6652
✓ DOAJ✓ Open Access

Aims & Scope

The ICCK Transactions on Emerging Topics in Artificial Intelligence (TETAI) is a peer-reviewed international journal that aims to provide a high-quality platform for the dissemination of innovative research in artificial intelligence. The journal focuses on emerging theories, algorithms, and applications that address the evolving challenges of intelligent systems in diverse domains. TETAI seeks to promote interdisciplinary collaboration among researchers, engineers, and practitioners, while fostering the development of interpretable, scalable, and efficient AI solutions. By encouraging both theoretical advancements and practical implementations, the journal contributes to shaping the future of intelligent and autonomous technologies.

General Information

Country / RegionUnited States
Primary LanguageEnglish
1st Year Published—
FrequencyQuarterly
StatusActive
Total Publications—
Visit Journal Website

Submission Info

Peer ReviewAnonymous peer review
OA LicenseCC BY
OA Rate—

Ethics & Quality

COPE Member✗ No
OASPA Member✗ No
Not on Predatory Lists✓ Yes
Plagiarism Detection✓ Yes
📦 Long-term Preservation
Portico

Think.Check.Submit Compliance

10/11 · 91%
✅
Do you know the journal / publisher?
Institute of Central Computation and Knowledge Inc (ICCK)
✅
Does the journal have a website?
✓ Linked
✅
Is the ISSN verified?
3068-6652
✅
Indexed in a trusted database?
DOAJ
✅
Peer review process documented?
Anonymous peer review
❌
Follows ethical publishing standards (COPE)?
N/A
✅
Not on predatory/blacklists?
✓ Clean
✅
Long-term digital preservation?
Portico
✅
Plagiarism detection in place?
Yes
✅
Listed in DOAJ (verified OA)?
DOAJ verified
✅
Primary language documented?
English

A twelfth criterion — whether APC fees are clearly disclosed — is not scored here; it is left out of the total rather than counted as a failure. Publication charges appear in the metrics card above.

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

Subject Classification

Research Topics (OpenAlex)

Topic ModelingAdvanced Neural Network ApplicationsVideo Surveillance and Tracking MethodsArtificial Intelligence in HealthcareArtificial Intelligence in Healthcare and EducationMachine Learning in HealthcareNeural Networks and ApplicationsAdvanced Image and Video Retrieval TechniquesEthics and Social Impacts of AIAnomaly Detection Techniques and Applications

Frequently asked questions about ICCK Transactions on Emerging Topics in Artificial Intelligence

Is ICCK Transactions on Emerging Topics in Artificial Intelligence a predatory journal?

PubScope has no integrity flags on record for ICCK Transactions on Emerging Topics in Artificial Intelligence: it is indexed in DOAJ, and is not on DOAJ's withdrawn list. Indexing is a transparency signal, not a guarantee — always confirm fit and policies before submitting.

What is the impact factor of ICCK Transactions on Emerging Topics in Artificial Intelligence?

ICCK Transactions on Emerging Topics in Artificial Intelligence is not in the Web of Science Core Collection, so it has no official Clarivate Journal Impact Factor.

Is ICCK Transactions on Emerging Topics in Artificial Intelligence indexed in Scopus and Web of Science?

ICCK Transactions on Emerging Topics in Artificial Intelligence is indexed in DOAJ.

What is the aims and scope of ICCK Transactions on Emerging Topics in Artificial Intelligence?

The ICCK Transactions on Emerging Topics in Artificial Intelligence (TETAI) is a peer-reviewed international journal that aims to provide a high-quality platform for the dissemination of innovative research in artificial intelligence. The journal focuses on emerging theories, algorithms, and applications that address the evolving challenges of intelligent systems in diverse domains. TETAI seeks to promote interdisciplinary collaboration among researchers, engineers, and practitioners, while fostering the development of interpretable, scalable, and efficient AI solutions. By encouraging both th

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Data updated: 2026-05-26 · Sources: SJR, DOAJ, OpenAlex, WoS, Crossref