Lita Yang

About

Lita Yang is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Lita Yang has authored 8 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Biomedical Engineering. Recurrent topics in Lita Yang’s work include Advanced Memory and Neural Computing (6 papers), Advanced Neural Network Applications (5 papers) and Ferroelectric and Negative Capacitance Devices (4 papers). Lita Yang is often cited by papers focused on Advanced Memory and Neural Computing (6 papers), Advanced Neural Network Applications (5 papers) and Ferroelectric and Negative Capacitance Devices (4 papers). Lita Yang collaborates with scholars based in United States and Belgium. Lita Yang's co-authors include Boris Murmann, Daniel Bankman, Bert Moons, Marian Verhelst, Ali Hajimiri, Dongjin Seo, Kaushik Sengupta, Daisuke Miyashita, Subhasish Mitra and Vikas Chandra and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Micro and IEEE Transactions on Terahertz Science and Technology.

In The Last Decade

Co-authorship network of co-authors of Lita Yang i

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Fields of papers citing papers by Lita Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lita Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lita Yang. The network helps show where Lita Yang may publish in the future.

Countries citing papers authored by Lita Yang

Since Specialization

Citations

This map shows the geographic impact of Lita Yang's research. 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 Lita Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lita Yang 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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