Intelligent Fusion Technology (United States)

262 papers and 2.2k indexed citations i.

About

In recent decades, authors affiliated with Intelligent Fusion Technology (United States) have published 262 papers, which have received a total of 2.2k indexed citations. Scholars at this organization have produced 99 papers in Aerospace Engineering, 79 papers in Artificial Intelligence and 79 papers in Computer Networks and Communications on the topics of Target Tracking and Data Fusion in Sensor Networks (47 papers), Space Satellite Systems and Control (19 papers) and Materials Challenges in Fusion Energy Research (18 papers). Their work is cited by papers focused on Aerospace Engineering (684 citations), Computer Networks and Communications (653 citations) and Artificial Intelligence (591 citations). Authors at Intelligent Fusion Technology (United States) collaborate with scholars in United States, China and South Korea and have published in prestigious journals including Journal of The Electrochemical Society, IEEE Transactions on Automatic Control and Automatica. Some of Intelligent Fusion Technology (United States)'s most productive authors include Genshe Chen, Erik Blasch, Khanh Pham, Dan Shen, Bin Jia, Zhonghai Wang, Yu Chen, Zhihua Qu, Ming Xin and Chaoyong Li.

In The Last Decade

Fields of papers published by authors at Intelligent Fusion Technology (United States)

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Intelligent Fusion Technology (United States) at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Intelligent Fusion Technology (United States) at the time of their publication.

Countries citing scholars working at Intelligent Fusion Technology (United States)

Since Specialization

Citations

This map shows the geographic impact of research produced by authors working at Intelligent Fusion Technology (United States). 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 produced at Intelligent Fusion Technology (United States) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Intelligent Fusion Technology (United States) 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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