CAAI Transactions on Intelligence Technology

Aims & Scope

Sponsored by the Chinese Association for Artificial Intelligence (CAAI), CAAI Transactions on Intelligence Technology is a gold Open Access journal that publishes articles on the theoretical and experimental aspects of artificial intelligence technology.

This journal is a high-quality international platform for the exchange of the latest academic developments from the global artificial intelligence community.

CAAI Transactions on Intelligence Technology welcomes submissions on the following topics: - Brain and cognitive science - Machine perception and pattern recognition - Machine learning and computational intelligence - Natural language processing - Big data and knowledge engineering - Robot and swarm intelligence - Intelligence system and application

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Computer Science, ensuring accessibility and quality in research dissemination.

This journal does not charge a mandatory Article Processing Charge (APC). However, optional open access publication may incur fees based on the publisher’s policies.

Explore journals without APCs for alternative publishing options.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Tri‐M2MT: Multi‐modalities based effective acute bilirubin encephalopathy diagnosis through multi‐transformer using neonatal Magnetic Resonance Imaging

  Citation: 21

  Authors: Kumar, Rakesh Kumar, Arfat, Seifedine

• Needle detection and localisation for robot‐assisted subretinal injection using deep learning

  Citation: 11

  Authors: Mingchuan, Xiangyu, Matthias, Elias, Zhongliang, Abouzar, Juan, Nassir, Alois, Mohammad Ali

• A human‐robot collaboration method for uncertain surface scanning

  Citation: 7

  Authors: Guanyi, Chao, Weiyong, Chenguang

• An EfficientNet integrated ResNet deep network and explainable AI for breast lesion classification from ultrasound images

  Citation: 6

  Authors: Kiran, Muhammad Attique, Ameer, Hussain Mobarak, Shrooq, Usman, Isaac

• Advancing skin cancer detection integrating a novel unsupervised classification and enhanced imaging techniques

  Citation: 4

  Authors: Md. Abdur, Nur Mohammad, Mohaimenul Azam Khan, Mirjam, Friso, Sami

• Enhancing patient rehabilitation predictions with a hybrid anomaly detection model: Density‐based clustering and interquartile range methods

  Citation: 4

  Authors: Murad Ali, Jong‐Hyun, Naeem, Harun, Syed Shehryar Ali, Salabat, Jae‐Chul, Do‐Hyeun

• AESR3D: 3D overcomplete autoencoder for trabecular computed tomography super resolution

  Citation: 4

  Authors: Shuwei, Yefeng, Xingyu, Shibo, Xiaofeng, Lihai

• 3D medical image segmentation using the serial–parallel convolutional neural network and transformer based on cross‐window self‐attention

  Citation: 3

  Authors: Bin, Quan, Li, Huageng, Pavel, Xuming

• Random Strip Peeling: A novel lightweight image encryption for IoT devices based on colour planes permutation

  Citation: 3

  Authors: Kenan, Cemile, Davut

• Bat algorithm based on kinetic adaptation and elite communication for engineering problems

  Citation: 3

  Authors: Chong, Dong, Ali Asghar, Lei, Shuihua, Huiling, Yudong