Steve S. Chung

250 total papers · 1.6k total citations
167 papers, 1.2k citations indexed

About

Steve S. Chung is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Steve S. Chung has authored 167 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 156 papers in Electrical and Electronic Engineering, 10 papers in Hardware and Architecture and 8 papers in Computer Networks and Communications. Recurrent topics in Steve S. Chung's work include Semiconductor materials and devices (138 papers), Advancements in Semiconductor Devices and Circuit Design (111 papers) and Integrated Circuits and Semiconductor Failure Analysis (43 papers). Steve S. Chung is often cited by papers focused on Semiconductor materials and devices (138 papers), Advancements in Semiconductor Devices and Circuit Design (111 papers) and Integrated Circuits and Semiconductor Failure Analysis (43 papers). Steve S. Chung collaborates with scholars based in Taiwan, United States and China. Steve S. Chung's co-authors include E. R. Hsieh, Rama Maganti, Cornelia Drees, Paula Gerber, Jin‐Shyan Lee, Qing Luo, Ming Liu, Xiaoxin Xu, Hangbing Lv and Qi Liu and has published in prestigious journals such as Applied Physics Letters, Neurology and IEEE Transactions on Electron Devices.

In The Last Decade

Steve S. Chung

153 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Steve S. Chung 942 140 101 90 74 167 1.2k
Tadashi Sakamoto 509 0.5× 39 0.3× 31 0.3× 67 0.7× 163 2.2× 96 1.0k
Kevin Morris 1.0k 1.1× 186 1.3× 20 0.2× 18 0.2× 14 0.2× 151 1.4k
Ling‐Feng Mao 779 0.8× 37 0.3× 41 0.4× 23 0.3× 311 4.2× 160 1.5k
Qingjiang Li 1.2k 1.3× 7 0.1× 21 0.2× 582 6.5× 212 2.9× 111 1.4k
Shusuke Yoshimoto 491 0.5× 11 0.1× 7 0.1× 133 1.5× 60 0.8× 69 932
Yuan Lu 379 0.4× 30 0.2× 16 0.2× 4 0.0× 55 0.7× 58 1.0k
Duncan L. MacFarlane 604 0.6× 26 0.2× 9 0.1× 12 0.1× 30 0.4× 112 1.0k
Étienne Sicard 943 1.0× 29 0.2× 28 0.3× 15 0.2× 7 0.1× 75 1.1k
Guili Liu 279 0.3× 24 0.2× 13 0.1× 37 0.4× 423 5.7× 176 1.1k
Fernanda Irrera 642 0.7× 67 0.5× 2 0.0× 43 0.5× 285 3.9× 115 1.2k

Countries citing papers authored by Steve S. Chung

Since Specialization
Citations

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

Fields of papers citing papers by Steve S. Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve S. Chung. 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 Steve S. Chung. The network helps show where Steve S. Chung may publish in the future.

Co-authorship network of co-authors of Steve S. Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Steve S. Chung. A scholar is included among the top collaborators of Steve S. Chung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steve S. Chung. Steve S. Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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