Michael Su
Impact in
- Hardware and Architecture top 10%
- VLSI and Analog Circuit Testing
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- Stroke Rehabilitation and Recovery
Papers in
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- 3D IC and TSV technologies 7
- Electronic Packaging and Soldering Technologies 6
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- Acute Ischemic Stroke Management 4
- Co-authors
- Bryan Black (4 shared papers)Chin‐Li Kao (2 shared papers)Chang-Chi Lee (2 shared papers)Yu‐Hsiang Hsiao (2 shared papers)Michael P. Alfano (2 shared papers)Li-Chieh Chen (1 shared paper)C.-P Hung (1 shared paper)Dao-Long Chen (1 shared paper)
- Journals
- Neurology (2 papers)IEEE Transactions on Device and Materials Reliability (1 paper)Cornea (1 paper)Microelectronics Reliability (1 paper)BMC Neurology (1 paper)
- Partner nations
- United StatesCanadaTaiwan
In The Last Decade
Michael Su
17 papers receiving 298 citations
Peers
Comparison fields: 5 of 71
- Hardware and Architecture 38
- Rehabilitation 29
- Electrical and Electronic Engineering 160
- Psychiatry and Mental health 42
- Computational Mathematics 1
Countries citing papers authored by Michael Su
This map shows the geographic impact of Michael Su'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 Michael Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Su more than expected).
Fields of papers citing papers by Michael Su
This network shows the impact of papers produced by Michael Su. 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 Michael Su. The network helps show where Michael Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 104 | |
| 2 | 2012 | 49 | |
| 3 | 2011 | 29 | |
| 4 | 2016 | 23 | |
| 5 | 2019 | 20 | |
| 6 | 2016 | 17 | |
| 7 | 2023 | 13 | |
| 8 | 2016 | 13 | |
| 9 | 2010 | 13 | |
| 10 | 2022 | 9 | |
| 11 | 2009 | 6 | |
| 12 | 2023 | 3 | |
| 13 | 2008 | 3 | |
| 14 | 2023 | 1 | |
| 15 | The Effect of Decreasing Cyclosporine 0.05% on Dry Eye Disease After One Year of Therapy | 2007 | 1 |
| 16 | 2017 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2023 | 0 | |
| 20 | 2013 | 0 |
About Michael Su
Michael Su is a scholar working on Electrical and Electronic Engineering, Epidemiology, Rehabilitation, Pharmacology and Neurology, having authored 21 papers that have together received 307 indexed citations. Recurring topics across this work include 3D IC and TSV technologies (7 papers), Electronic Packaging and Soldering Technologies (6 papers), Stroke Rehabilitation and Recovery (5 papers), Acute Ischemic Stroke Management (4 papers), Glaucoma and retinal disorders (2 papers), Copper Interconnects and Reliability (2 papers), Ocular Surface and Contact Lens (2 papers) and Musculoskeletal pain and rehabilitation (2 papers). The work is most often cited by research in Hardware and Architecture (38 citations), Rehabilitation (29 citations), Electrical and Electronic Engineering (160 citations), Psychiatry and Mental health (42 citations) and Computational Mathematics (1 citation). Michael Su has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Bryan Black, Chin‐Li Kao, Chang-Chi Lee, Yu‐Hsiang Hsiao, Michael P. Alfano, Li-Chieh Chen, C.-P Hung, Dao-Long Chen, Meng-Kai Shih and Ping‐Feng Yang. Their work appears in journals such as Neurology, IEEE Transactions on Device and Materials Reliability, Cornea, Microelectronics Reliability and BMC Neurology.
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.