Michael Ho
Impact in
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- Quantum-Dot Cellular Automata
- Cellular Automata and Applications
Papers in
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- DNA and Biological Computing 12
- Advanced biosensing and bioanalysis techniques 11
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- Modular Robots and Swarm Intelligence 6
- Co-authors
- Weng-Long Chang (12 shared papers)Minyi Guo (10 shared papers)Yu Lei (1 shared paper)Li Li (1 shared paper)Xiaolei Ren (1 shared paper)Kawuu W. Lin (2 shared papers)Jiang Ming (1 shared paper)Chih-Chiang Wang (1 shared paper)
In The Last Decade
Michael Ho
17 papers receiving 237 citations
Peers
Comparison fields: 5 of 23
- Software 17
- Computational Theory and Mathematics 60
- Molecular Biology 195
- Signal Processing 24
- Hardware and Architecture 15
Countries citing papers authored by Michael Ho
This map shows the geographic impact of Michael Ho'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 Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Ho more than expected).
Fields of papers citing papers by Michael Ho
This network shows the impact of papers produced by Michael Ho. 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 Ho. The network helps show where Michael Ho may publish in the future.
Co-authors
The 16 scholars most cited alongside Michael Ho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 67 | |
| 2 | 2004 | 45 | |
| 3 | 2021 | 31 | |
| 4 | 2004 | 25 | |
| 5 | 2004 | 17 | |
| 6 | 2009 | 16 | |
| 7 | 2011 | 14 | |
| 8 | 2005 | 13 | |
| 9 | Fast Parallel Solution for Set-Packing and Clique Problems by DNA-Based Computing | 2004 | 7 |
| 10 | 2015 | 7 | |
| 11 | Solving the Set-Splitting Problem in Sticker-Based Model and the Adleman-Lipton Model. | 2003 | 6 |
| 12 | 2004 | 5 | |
| 13 | 2006 | 3 | |
| 14 | 2009 | 2 | |
| 15 | 2008 | 1 | |
| 16 | 2003 | 1 | |
| 17 | 2008 | 1 |
About Michael Ho
Michael Ho is a scholar working on Molecular Biology, Mechanical Engineering, Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications, having authored 17 papers that have together received 261 indexed citations. Recurring topics across this work include DNA and Biological Computing (12 papers), Advanced biosensing and bioanalysis techniques (11 papers), Modular Robots and Swarm Intelligence (6 papers), Quantum-Dot Cellular Automata (3 papers), Software Engineering Research (2 papers), Cellular Automata and Applications (2 papers), Algorithms and Data Compression (2 papers) and Advanced Malware Detection Techniques (1 paper). The work is most often cited by research in Software (17 citations), Computational Theory and Mathematics (60 citations), Molecular Biology (195 citations), Signal Processing (24 citations) and Hardware and Architecture (15 citations). Michael Ho has collaborated with scholars based in Taiwan, Japan and Australia. Frequent co-authors include Weng-Long Chang, Minyi Guo, Yu Lei, Li Li, Xiaolei Ren, Kawuu W. Lin, Jiang Ming, Chih-Chiang Wang, Athanasios V. Vasilakos and Chih‐Ping Chu. Their work appears in journals such as Biosystems, IEEE Transactions on NanoBioscience, Journal of Systems Architecture, Parallel Computing and Future Generation Computer Systems.
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.