Ssu-Yen Wu

5 papers and 331 indexed citations i.

About

Ssu-Yen Wu is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ssu-Yen Wu has authored 5 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 1 paper in Artificial Intelligence and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Ssu-Yen Wu’s work include Advanced Memory and Neural Computing (5 papers), Ferroelectric and Negative Capacitance Devices (4 papers) and Advanced Neural Network Applications (1 paper). Ssu-Yen Wu is often cited by papers focused on Advanced Memory and Neural Computing (5 papers), Ferroelectric and Negative Capacitance Devices (4 papers) and Advanced Neural Network Applications (1 paper). Ssu-Yen Wu collaborates with scholars based in Taiwan, United States and China. Ssu-Yen Wu's co-authors include Meng‐Fan Chang, Jiajing Chen, Yen-Cheng Chiu, Jinghong Wang, Rui Liu, Shimeng Yu, Kea‐Tiong Tang, Xin Si, Ren-Shuo Liu and Yung-Ning Tu and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, 2022 IEEE International Solid- State Circuits Conference (ISSCC) and Symposium on VLSI Circuits.

In The Last Decade

Co-authorship network of co-authors of Ssu-Yen Wu i

Fields of papers citing papers by Ssu-Yen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ssu-Yen Wu. 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 Ssu-Yen Wu. The network helps show where Ssu-Yen Wu may publish in the future.

Countries citing papers authored by Ssu-Yen Wu

Since Specialization
Citations

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