NEC (United States)

409 papers and 17.1k indexed citations i.

About

In recent decades, authors affiliated with NEC (United States) have published 409 papers, which have received a total of 17.1k indexed citations. Scholars at this organization have produced 151 papers in Computer Vision and Pattern Recognition, 130 papers in Artificial Intelligence and 114 papers in Electrical and Electronic Engineering on the topics of Optical Network Technologies (47 papers), Domain Adaptation and Few-Shot Learning (39 papers) and Advanced Vision and Imaging (34 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (9.9k citations), Artificial Intelligence (5.8k citations) and Electrical and Electronic Engineering (2.1k citations). Authors at NEC (United States) collaborate with scholars in United States, China and Japan and have published in prestigious journals including JAMA, Circulation and IEEE Transactions on Pattern Analysis and Machine Intelligence. Some of NEC (United States)'s most productive authors include Ming Yang, Kai Yu, Wei Xu, Shuiwang Ji, Yihong Gong, Manmohan Chandraker, Shuicheng Yan, Thomas S. Huang, Kai Yu and Yi–Hsuan Tsai.

In The Last Decade

Fields of papers published by authors at NEC (United States)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with NEC (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 NEC (United States) at the time of their publication.

Countries citing scholars working at NEC (United States)

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at NEC (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 NEC (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 NEC (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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2025