Ming‐Ho Yee
Impact in
- Software top 10%
- Software Testing and Debugging Techniques
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- Parallel Computing and Optimization Techniques
Papers in
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- Logic, programming, and type systems 3
- Logic, Reasoning, and Knowledge 2
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- Parallel Computing and Optimization Techniques 3
- Co-authors
- Ondřej Lhoták (2 shared papers)Magnus Madsen (2 shared papers)Arjun Guha (1 shared paper)Michael Greenberg (1 shared paper)Abhinav Jangda (1 shared paper)Sydney Nguyen (1 shared paper)Yangtian Zi (1 shared paper)Carolyn Jane Anderson (1 shared paper)
- Journals
- ACM SIGPLAN Notices (1 paper)Proceedings of the ACM on Programming Languages (1 paper)Alzheimer s & Dementia (1 paper)Journal of Computing in Civil Engineering (1 paper)IEEE Transactions on Software Engineering (1 paper)
- Partner nations
- CanadaUnited StatesMexico
In The Last Decade
Ming‐Ho Yee
10 papers receiving 154 citations
Peers
Comparison fields: 5 of 24
- Software 45
- Hardware and Architecture 31
- Artificial Intelligence 87
- Information Systems 51
- Computer Networks and Communications 48
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 18 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 | 58 | |
| 2 | 2023 | 56 | |
| 3 | 2016 | 19 | |
| 4 | 2016 | 11 | |
| 5 | 2020 | 6 | |
| 6 | 2017 | 5 | |
| 7 | 2003 | 2 | |
| 8 | 2020 | 1 | |
| 9 | 2014 | 1 | |
| 10 | 2009 | 1 |
About Ming‐Ho Yee
Ming‐Ho Yee is a scholar working on Artificial Intelligence, Hardware and Architecture, Computational Theory and Mathematics, Information Systems and Computer Networks and Communications, having authored 10 papers that have together received 160 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (3 papers), Formal Methods in Verification (3 papers), Logic, programming, and type systems (3 papers), Logic, Reasoning, and Knowledge (2 papers), Software Engineering Research (2 papers), Software System Performance and Reliability (1 paper), VLSI and FPGA Design Techniques (1 paper) and Construction Project Management and Performance (1 paper). The work is most often cited by research in Software (45 citations), Hardware and Architecture (31 citations), Artificial Intelligence (87 citations), Information Systems (51 citations) and Computer Networks and Communications (48 citations). Ming‐Ho Yee has collaborated with scholars based in Canada, United States and Mexico. Frequent co-authors include Ondřej Lhoták, Magnus Madsen, Arjun Guha, Michael Greenberg, Abhinav Jangda, Sydney Nguyen, Yangtian Zi, Carolyn Jane Anderson, Mahdi Safa and Carl T. Haas. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, Alzheimer s & Dementia, Journal of Computing in Civil Engineering and IEEE Transactions on Software 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.