Hun-Hsien Chang

20 total papers · 404 total citations
14 papers, 239 citations indexed

About

Hun-Hsien Chang is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Biomedical Engineering. According to data from OpenAlex, Hun-Hsien Chang has authored 14 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 2 papers in Electronic, Optical and Magnetic Materials and 1 paper in Biomedical Engineering. Recurrent topics in Hun-Hsien Chang's work include Integrated Circuits and Semiconductor Failure Analysis (11 papers), Electrostatic Discharge in Electronics (11 papers) and Semiconductor materials and devices (6 papers). Hun-Hsien Chang is often cited by papers focused on Integrated Circuits and Semiconductor Failure Analysis (11 papers), Electrostatic Discharge in Electronics (11 papers) and Semiconductor materials and devices (6 papers). Hun-Hsien Chang collaborates with scholars based in Taiwan and United States. Hun-Hsien Chang's co-authors include Chung‐Yu Wu, Ming‐Dou Ker, Ming-Dou Ker, Cheng Tao, W.C. Chiou, Hongen Tu, Yi Lin, C. H. Yu, Wenjing Wu and Ming-Dou Ker and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Electron Devices and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

In The Last Decade

Hun-Hsien Chang

12 papers receiving 229 citations

Author Peers

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

Author Last Decade Papers Cites
Hun-Hsien Chang 239 12 7 7 5 14 239
Dan Perry 87 0.4× 15 1.3× 12 1.7× 14 2.0× 3 0.6× 13 94
Michel Mardiguian 162 0.7× 7 0.6× 2 0.3× 5 0.7× 8 1.6× 19 188
Gregory Sizikov 77 0.3× 4 0.3× 12 1.7× 5 0.7× 4 0.8× 12 81
Ralf Reuter 287 1.2× 31 2.6× 7 1.0× 9 1.3× 6 1.2× 21 323
Slavica Malobabic 300 1.3× 16 1.3× 1 0.1× 7 1.0× 4 0.8× 24 303
Surej Ravikumar 157 0.7× 46 3.8× 8 1.1× 5 0.7× 5 1.0× 14 175
Dokshin Lim 98 0.4× 18 1.5× 10 1.4× 1 0.1× 5 1.0× 16 137
Pierre Busson 256 1.1× 23 1.9× 3 0.4× 2 0.3× 3 0.6× 7 270
Wenjia Si 257 1.1× 65 5.4× 2 0.3× 7 1.0× 2 0.4× 16 275
Xiaodong Yin 100 0.4× 9 0.8× 8 1.1× 2 0.4× 10 159

Countries citing papers authored by Hun-Hsien Chang

Since Specialization
Citations

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

Fields of papers citing papers by Hun-Hsien Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hun-Hsien Chang. 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 Hun-Hsien Chang. The network helps show where Hun-Hsien Chang may publish in the future.

Co-authorship network of co-authors of Hun-Hsien Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Hun-Hsien Chang. A scholar is included among the top collaborators of Hun-Hsien Chang 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 Hun-Hsien Chang. Hun-Hsien Chang 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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