CAAI Transactions on Intelligence Technology

504 papers and 7.5k indexed citations i.

About

The 504 papers published in CAAI Transactions on Intelligence Technology in the last decades have received a total of 7.5k indexed citations. Papers published in CAAI Transactions on Intelligence Technology usually cover Computer Vision and Pattern Recognition (200 papers), Artificial Intelligence (177 papers) and Control and Systems Engineering (58 papers) specifically the topics of Advanced Neural Network Applications (33 papers), Advanced Image and Video Retrieval Techniques (25 papers) and Topic Modeling (24 papers). The most active scholars publishing in CAAI Transactions on Intelligence Technology are Cesare Alippi, Adnan Gutub, Guesh Dagnew, Guoyin Wang, Hong Liu, Sidhartha Panda, Sasmita Padhy, Runwei Ding, Qinghua Zhang and Anwesha Law.

In The Last Decade

Fields of papers published in CAAI Transactions on Intelligence Technology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in CAAI Transactions on Intelligence Technology. 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 CAAI Transactions on Intelligence Technology.

Countries where authors publish in CAAI Transactions on Intelligence Technology

Since Specialization
Citations

This map shows the geographic impact of research published in CAAI Transactions on Intelligence Technology. 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 CAAI Transactions on Intelligence Technology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites CAAI Transactions on Intelligence Technology more than expected).

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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