Engineering Applications of Artificial Intelligence

9.1k papers and 156.8k indexed citations i.

About

The 9.1k papers published in Engineering Applications of Artificial Intelligence in the last decades have received a total of 156.8k indexed citations. Papers published in Engineering Applications of Artificial Intelligence usually cover Artificial Intelligence (3.3k papers), Control and Systems Engineering (1.8k papers) and Computer Vision and Pattern Recognition (1.8k papers) specifically the topics of Fault Detection and Control Systems (628 papers), Neural Networks and Applications (499 papers) and Multi-Criteria Decision Making (452 papers). The most active scholars publishing in Engineering Applications of Artificial Intelligence are Tak-chung Fu, Ajith Abraham, Kwok‐wing Chau, Paulo Leitão, Ling Wang, Laurent Geneste, Qie He, Gaurav Dhiman, Vahid Khatibi Bardsiri and Hojjat Adeli.

In The Last Decade

Fields of papers published in Engineering Applications of Artificial Intelligence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Engineering Applications of 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 Engineering Applications of Artificial Intelligence.

Countries where authors publish in Engineering Applications of Artificial Intelligence

Since Specialization
Citations

This map shows the geographic impact of research published in Engineering Applications of 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 Engineering Applications of 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 Engineering Applications of Artificial Intelligence 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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