IEEE Transactions on Neural Networks and Learning Systems

6.9k papers and 248.9k indexed citations i.

About

The 6.9k papers published in IEEE Transactions on Neural Networks and Learning Systems in the last decades have received a total of 248.9k indexed citations. Papers published in IEEE Transactions on Neural Networks and Learning Systems usually cover Artificial Intelligence (3.6k papers), Computer Vision and Pattern Recognition (2.3k papers) and Control and Systems Engineering (1.3k papers) specifically the topics of Neural Networks and Applications (817 papers), Neural Networks Stability and Synchronization (726 papers) and Face and Expression Recognition (696 papers). The most active scholars publishing in IEEE Transactions on Neural Networks and Learning Systems are C. L. Philip Chen, Jun Wang, Jinde Cao, Xuelong Li, Tingwen Huang, Dacheng Tao, Shaocheng Tong, Zhigang Zeng, Derong Liu and Huaguang Zhang.

In The Last Decade

Fields of papers published in IEEE Transactions on Neural Networks and Learning Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in IEEE Transactions on Neural Networks and Learning Systems. 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 Neural Networks and Learning Systems.

Countries where authors publish in IEEE Transactions on Neural Networks and Learning Systems

Since Specialization
Citations

This map shows the geographic impact of research published in IEEE Transactions on Neural Networks and Learning Systems. 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 Neural Networks and Learning Systems 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 Neural Networks and Learning Systems 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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