Virtual Reality & Intelligent Hardware

206 papers and 1.9k indexed citations i.

About

The 206 papers published in Virtual Reality & Intelligent Hardware in the last decades have received a total of 1.9k indexed citations. Papers published in Virtual Reality & Intelligent Hardware usually cover Computer Vision and Pattern Recognition (109 papers), Human-Computer Interaction (68 papers) and Cognitive Neuroscience (32 papers) specifically the topics of Virtual Reality Applications and Impacts (41 papers), Augmented Reality Applications (35 papers) and Tactile and Sensory Interactions (24 papers). The most active scholars publishing in Virtual Reality & Intelligent Hardware are Jiadai Sun, Zhiyuan Zhang, Yuchao Dai, Shin‐Tson Wu, Tao Zhan, Yun‐Han Lee, Feng Tian, Jin Huang, Guozhong Dai and Hongan Wang.

In The Last Decade

Fields of papers published in Virtual Reality & Intelligent Hardware

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Virtual Reality & Intelligent Hardware. 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 Virtual Reality & Intelligent Hardware.

Countries where authors publish in Virtual Reality & Intelligent Hardware

Since Specialization
Citations

This map shows the geographic impact of research published in Virtual Reality & Intelligent Hardware. 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 Virtual Reality & Intelligent Hardware with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virtual Reality & Intelligent Hardware 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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