Epidermal mechano-acoustic sensing electronics for cardiovascular diagnostics and human-machine interfaces

333 indexed citations

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This paper, published in 2016, received 333 indexed citations. Written by Yuhao Liu, James J. S. Norton, Raza Qazi, Zhanan Zou, Kaitlyn R. Ammann, Lingqing Yan, Phat Tran, Kyung‐In Jang, Jung Woo Lee and Douglas Zhang covering the research area of Cognitive Neuroscience and Biomedical Engineering. It is primarily cited by scholars working on Biomedical Engineering (292 citations), Cognitive Neuroscience (123 citations) and Polymers and Plastics (91 citations). Published in Science Advances.

Countries where authors are citing Epidermal mechano-acoustic sensing electronics for cardiovascular diagnostics and human-machine interfaces

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This map shows the geographic impact of Epidermal mechano-acoustic sensing electronics for cardiovascular diagnostics and human-machine interfaces. 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 Epidermal mechano-acoustic sensing electronics for cardiovascular diagnostics and human-machine interfaces with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Epidermal mechano-acoustic sensing electronics for cardiovascular diagnostics and human-machine interfaces more than expected).

Fields of papers citing Epidermal mechano-acoustic sensing electronics for cardiovascular diagnostics and human-machine interfaces

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Epidermal mechano-acoustic sensing electronics for cardiovascular diagnostics and human-machine interfaces. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Epidermal mechano-acoustic sensing electronics for cardiovascular diagnostics and human-machine interfaces.

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.

This paper is also available at doi.org/10.1126/sciadv.1601185.

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