IEEE Transactions on Artificial Intelligence

12.2k citations
1.2k papers · · active since 2020

Impact in

    • Anomaly Detection Techniques and Applications
    • Domain Adaptation and Few-Shot Learning
    • Neural Networks and Applications
    • Adversarial Robustness in Machine Learning

Papers in

    • Adversarial Robustness in Machine Learning 80
    • Neural Networks and Applications 80
    • Anomaly Detection Techniques and Applications 71
    • Domain Adaptation and Few-Shot Learning 68
    • Privacy-Preserving Technologies in Data 53
    • Topic Modeling 48
    • Reinforcement Learning in Robotics 46
    • Advanced Neural Network Applications 78

IEEE Transactions on Artificial Intelligence

986 papers receiving 11.7k citations

Peers

IEEE Transactions on Artificial Intelligence
Comparison fields: 5 of 190
  • Health Informatics 330
  • Artificial Intelligence 4.6k
  • Computer Vision and Pattern Recognition 2.8k
  • Computational Mathematics 41
  • Signal Processing 670
Replace Frontiers of Information Technology & Electronic Engineering with:
Frontiers of Information Technology & Electronic Engineering China
Cognitive Computation China
Künstliche Intell. Germany
IEEE Transactions on Human-Machine Systems United States
IEEE Transactions on Computational Social Systems China
Frontiers of Computer Science China
IEEE Transactions on Cognitive and Developmental Systems China
Journal of Applied Biomedicine India
Interacting with Computers United Kingdom
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IEEE Transactions on Artificial Intelligence relative to Frontiers of Information Technology & Electronic Engineering China Frontiers of Information Technology & Electronic Engineering's profile →
Citations per field
00.5×2×2.7×
Frontiers of Information Technology & Electronic Engineering · 1×
Citations per year

Countries where authors publish in IEEE Transactions on Artificial Intelligence

Since Specialization
Citations

This map shows the geographic impact of research published in IEEE Transactions on Artificial Intelligence. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in IEEE Transactions on Artificial Intelligence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites IEEE Transactions on Artificial Intelligence more than expected).

Fields of papers published in IEEE Transactions on Artificial Intelligence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in IEEE Transactions on Artificial Intelligence. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in IEEE Transactions on Artificial Intelligence.

About IEEE Transactions on Artificial Intelligence

The 1.2k papers published in IEEE Transactions on Artificial Intelligence in the last decades have received a total of 12.2k indexed citations . Papers published in IEEE Transactions on Artificial Intelligence usually cover Artificial Intelligence (607 papers), Computer Vision and Pattern Recognition (331 papers), Health Informatics (13 papers), Signal Processing (78 papers) and Computational Mathematics (4 papers) specifically the topics of Adversarial Robustness in Machine Learning (80 papers), Neural Networks and Applications (80 papers), Advanced Neural Network Applications (78 papers), Anomaly Detection Techniques and Applications (71 papers), Domain Adaptation and Few-Shot Learning (68 papers), Privacy-Preserving Technologies in Data (53 papers), Topic Modeling (48 papers) and Reinforcement Learning in Robotics (46 papers). The most active scholars publishing in IEEE Transactions on Artificial Intelligence are Houbing Herbert Song, Jian Wang, Shuteng Niu, Yongxin Liu, Guoqing Chao, Shiliang Sun, Jinbo Bi, Xin Yao, Bifei Mao and Zeqi Zhang.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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