CAAI Artificial Intelligence Research
Tsinghua University Press
About the journal
CAAI Artificial Intelligence Research is an open-access journal published by Tsinghua University Press in China, publishing in english. It is listed in DOAJ according to the sources read. Declared review time at DOAJ: 16 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- Tsinghua University Press
- ISSN
- 2097-194X · 2097-3691
- Country
- China
- Languages
- english
- Access
- Open access
- Articles in DOAJ
- 55
- Declared review time
- 16 weeks
- Declared peer-review model
- double_blind
- Official website
- https://www.sciopen.com/journal/2097-194X
Index listings
- DOAJ · 2024-02-23
- Indexing
- DOAJ
- APC
- —
- Declared review time (DOAJ)
- 16 weeks — journal-declared only (not measured)
- Activity (OpenAlex)
- Active — latest works 2026
- PublishLens list status
- Shown after sign-in
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- Choose your university and rank below ↓
Methodology signals (dated facts from their sources)
Details of the evaluation under the published methodology are shown to signed-in users (free).
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Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.
Articles in DOAJ
55
Most recent article
6 months ago
Average review time (journal-declared via DOAJ)
16weeks
Works in OpenAlex
59
Last recorded publication year
2026
h-index
12
i10-index
13
From OpenAlex open data (CC0).
Editorial & policy8
- Last DOAJ review date
- 2024-08-25
- Added to DOAJ
- 2024-02-23
- Declared plagiarism screening
- Declared
- Other fees beyond APC
- No
- Editorial board
- Official page ↗
- Open references deposited at Crossref
- 74%
- ORCID iDs in current deposits
- 0%
- Peer-review policy
- View policy
Identity & continuity1
- Source type
- journal
Classification2
Subjects (DOAJ)
LCC codes
Subject areas
- Advanced Neural Network Applications
- Advanced Neural Network Applications
- Reinforcement Learning in Robotics
- Reinforcement Learning in Robotics
- Video Surveillance and Tracking Methods
- Video Surveillance and Tracking Methods
- Visual Attention and Saliency Detection
- Advanced Image and Video Retrieval Techniques
Show all subjects (50)
- Image Enhancement Techniques
- Visual Attention and Saliency Detection
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Generative Adversarial Networks and Image Synthesis
- Image Enhancement Techniques
- Domain Adaptation and Few-Shot Learning
- Multimodal Machine Learning Applications
- Generative Adversarial Networks and Image Synthesis
- Multimodal Machine Learning Applications
- Domain Adaptation and Few-Shot Learning
- Human Pose and Action Recognition
- Robot Manipulation and Learning
- Anomaly Detection Techniques and Applications
- Medical Image Segmentation Techniques
- Medical Image Segmentation Techniques
- Robot Manipulation and Learning
- Emotion and Mood Recognition
- Advanced Graph Neural Networks
- Advanced Image Processing Techniques
- Robotic Path Planning Algorithms
- Advanced Vision and Imaging
- Computer Graphics and Visualization Techniques
- Advanced Control Systems Optimization
- Explainable Artificial Intelligence (XAI)
- Artificial Intelligence in Games
- Anomaly Detection Techniques and Applications
- Face recognition and analysis
- Speech Recognition and Synthesis
- Remote Sensing in Agriculture
- EEG and Brain-Computer Interfaces
- Adaptive Control of Nonlinear Systems
- Computer Graphics and Visualization Techniques
- Advanced Vision and Imaging
- Robotic Path Planning Algorithms
- Advanced Graph Neural Networks
- Advanced Image Processing Techniques
- Remote Sensing in Agriculture
- EEG and Brain-Computer Interfaces
- Emotion and Mood Recognition
- Speech Recognition and Synthesis
- Face recognition and analysis
Keywords (DOAJ)
- knowledge intelligence
- perceptual intelligence
- machine learning
- behavioral intelligence
- brain and cognition
- ai chips and applications
Community confirmations — what users saw in MJL or Scopus Sources; not platform verification and never part of any score.
The journal's record in other sources:Web of Science MJLDOAJ