Intelligent Fusion Technology (United States)

About

In recent decades, authors affiliated with Intelligent Fusion Technology (United States) have published 261 papers, which have received a total of 2.9k indexed citations. Scholars at this organization have produced 78 papers in Aerospace Engineering, 58 papers in Computer Networks and Communications and 50 papers in Artificial Intelligence on the topics of Target Tracking and Data Fusion in Sensor Networks (29 papers), Fusion materials and technologies (19 papers) and Advanced Image and Video Retrieval Techniques (15 papers). Their work is cited by papers focused on Electrical and Electronic Engineering (533 citations), Materials Chemistry (496 citations) and Aerospace Engineering (479 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 SHILAP Revista de lepidopterología, PLoS ONE and Cancer. Some of Intelligent Fusion Technology (United States)'s most productive authors include Genshe Chen, Erik Blasch, Ick Soo Kim, Khanh Pham, Dan Shen, Bin Jia, Mayakrishnan Gopiraman, Chaoyong Li, Zhihua Qu and Zhonghai Wang.

In The Last Decade

Intelligent Fusion Technology (United States)

225 papers receiving 2.9k citations

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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