-
CiteScore
-
Impact Factor
Volume 2, Issue 2, ICCK Transactions on Emerging Topics in Artificial Intelligence
Volume 2, Issue 2, 2025
Submit Manuscript Edit a Special Issue
Article QR Code
Article QR Code
Scan the QR code for reading
Popular articles
ICCK Transactions on Emerging Topics in Artificial Intelligence, Volume 2, Issue 2, 2025: 90-90

Open Access | Retraction | 23 June 2025
Retraction Notice to "Graph-Driven Multimodal Feature Learning Framework for Apparent Personality Assessment"
1 School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
2 Homesite Group Inc, GA 30043, United States
3 Payment Department, Chewy Inc, MA 02210, United States
4 School of Information, Yunnan University of Finance and Economics, Yunnan 650000, China
5 School of Information Science and Technology, Yunnan University, Yunnan 650000, China
† These authors contributed equally to this work
* Corresponding Author: Chengwei Ye, [email protected]
Received: 6 June 20255, Accepted: 6 June 20255, Published: 23 June 2025  
This article [1] has been retracted by ICCK following an investigation conducted by the publisher. After publication, it was brought to the journal’s attention that some of the listed authors were unaware of the submission and had not provided their consent to be included as co-authors. In accordance with the COPE guidelines [2], the publisher initiated a formal investigation. It was confirmed that the author Shuyan Liu (School of Information Science and Technology, Yunnan University, Yunnan 650000, China) was unaware of the submission, did not contribute to the research or writing of the manuscript, and did not approve the final version for publication. As a result, the article is being retracted due to a serious breach of authorship ethics, constituting a violation of academic integrity. All authors were contacted regarding this retraction. Kangsheng Wang agreed to the retraction. Chengwei Ye, Huanzhen Zhang, Linuo Xu and Shuyan Liu did not respond to our correspondence. The publisher regrets any inconvenience this may have caused to readers.

References
  1. Wang, K., Ye, C., Zhang, H., Xu, L., & Liu, S. (2025). Graph-Driven Multimodal Feature Learning Framework for Apparent Personality Assessment. ICCK Transactions on Emerging Topics in Artificial Intelligence, 2(2), 57–67.
    [CrossRef]   [Google Scholar]
  2. COPE. Authorship and Contributorship. Retrieved from https://publicationethics.org/authorship
    [Google Scholar]

Article Metrics
Citations:

Crossref

0

Scopus

0

Web of Science

0
Article Access Statistics:
Views: 166
PDF Downloads: 28

Publisher's Note
ICCK stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and Permissions
CC BY Copyright © 2025 by the Author(s). Published by Institute of Central Computation and Knowledge. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
ICCK Transactions on Emerging Topics in Artificial Intelligence

ICCK Transactions on Emerging Topics in Artificial Intelligence

ISSN: 3068-6652 (Online)

Email: [email protected]

Portico

Portico

All published articles are preserved here permanently:
https://www.portico.org/publishers/icck/