Ming‐Ho Yee
Impact in
- Software top 10%
- Software Testing and Debugging Techniques
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
-
- Logic, programming, and type systems 3
- Logic, Reasoning, and Knowledge 2
- Evolutionary Algorithms and Applications 1
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- Parallel Computing and Optimization Techniques 3
- Co-authors
- Magnus Madsen (2 shared papers)Ondřej Lhoták (2 shared papers)Sydney Nguyen (1 shared paper)Yangtian Zi (1 shared paper)Carolyn Jane Anderson (1 shared paper)Michael Greenberg (1 shared paper)Arjun Guha (1 shared paper)Abhinav Jangda (1 shared paper)
- Journals
- Alzheimer s & Dementia (1 paper)ACM SIGPLAN Notices (1 paper)IEEE Transactions on Software Engineering (1 paper)Proceedings of the ACM on Programming Languages (1 paper)Journal of Computing in Civil Engineering (1 paper)
- Partner nations
- CanadaUnited StatesCzechia
In The Last Decade
Ming‐Ho Yee
8 papers receiving 132 citations
Peers
Comparison fields: 5 of 23
- Software 44
- Hardware and Architecture 29
- Artificial Intelligence 77
- Information Systems 44
- Computer Networks and Communications 40
Countries citing papers authored by Ming‐Ho Yee
This map shows the geographic impact of Ming‐Ho Yee'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 Ming‐Ho Yee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Ho Yee more than expected).
Fields of papers citing papers by Ming‐Ho Yee
This network shows the impact of papers produced by Ming‐Ho Yee. 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 Ming‐Ho Yee. The network helps show where Ming‐Ho Yee may publish in the future.
Co-authors
The 17 scholars most cited alongside Ming‐Ho Yee, 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 | 2016 | 50 | |
| 2 | 2023 | 49 | |
| 3 | 2016 | 16 | |
| 4 | 2016 | 11 | |
| 5 | 2020 | 6 | |
| 6 | 2017 | 3 | |
| 7 | 2003 | 2 | |
| 8 | 2020 | 1 | |
| 9 | 2009 | 0 |
About Ming‐Ho Yee
Ming‐Ho Yee is a scholar working on Artificial Intelligence, Hardware and Architecture, Computational Theory and Mathematics, Information Systems and Molecular Biology, having authored 9 papers that have together received 138 indexed citations. Recurring topics across this work include Logic, programming, and type systems (3 papers), Parallel Computing and Optimization Techniques (3 papers), Formal Methods in Verification (3 papers), Logic, Reasoning, and Knowledge (2 papers), Software Engineering Research (2 papers), Advanced NMR Techniques and Applications (1 paper), Low-power high-performance VLSI design (1 paper) and Evolutionary Algorithms and Applications (1 paper). The work is most often cited by research in Software (44 citations), Hardware and Architecture (29 citations), Artificial Intelligence (77 citations), Information Systems (44 citations) and Computer Networks and Communications (40 citations). Ming‐Ho Yee has collaborated with scholars based in Canada, United States and Czechia. Frequent co-authors include Magnus Madsen, Ondřej Lhoták, Sydney Nguyen, Yangtian Zi, Carolyn Jane Anderson, Michael Greenberg, Arjun Guha, Abhinav Jangda, Mahdi Safa and Derek Rayside. Their work appears in journals such as Alzheimer s & Dementia, ACM SIGPLAN Notices, IEEE Transactions on Software Engineering, Proceedings of the ACM on Programming Languages and Journal of Computing in Civil Engineering.
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.