M.-Y. Wu
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques 3
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- IoT and Edge/Fog Computing 3
- Distributed and Parallel Computing Systems 3
- Interconnection Networks and Systems 1
- Information Systems top 5%
- Cloud Computing and Resource Management 2
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- Vehicular Ad Hoc Networks (VANETs) 2
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- Aging, Elder Care, and Social Issues 1
- Health, Medicine and Society 1
- Journals
- Ad Hoc Networks (2 papers)IEEE Transactions on Parallel and Distributed Systems (1 paper)IEEE Transactions on Software Engineering (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
M.-Y. Wu
8 papers receiving 504 citations
Hit Papers
Peers
Comparison fields: 5 of 26
- Hardware and Architecture 368
- Computer Networks and Communications 508
- Information Systems 235
- Industrial and Manufacturing Engineering 72
- Information Systems and Management 11
Countries citing papers authored by M.-Y. Wu
This map shows the geographic impact of M.-Y. Wu'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 M.-Y. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.-Y. Wu more than expected).
Fields of papers citing papers by M.-Y. Wu
This network shows the impact of papers produced by M.-Y. Wu. 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 M.-Y. Wu. The network helps show where M.-Y. Wu may publish in the future.
Co-authorship network
The 17 scholars most cited alongside M.-Y. Wu, 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 | 2024 | 1 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 12 | |
| 4 | 2008 | 27 | |
| 5 | CASCH: A Software Tool for Automatic Parallelization and Scheduling of Programs on Message-Passing Multiprocessors | 2000 | 1 |
| 6 | 1997 | 10 | |
| 7 | Hypertool: a programming aid for message-passing systemsbreakdown → | 1990 | 476 |
| 8 | Programming environments for multiprocessors | 1987 | 5 |
About M.-Y. Wu
M.-Y. Wu is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 8 papers that have together received 543 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (3 papers), Parallel Computing and Optimization Techniques (3 papers), Distributed and Parallel Computing Systems (3 papers), Cloud Computing and Resource Management (2 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers), Interconnection Networks and Systems (1 paper), Aging, Elder Care, and Social Issues (1 paper) and Health, Medicine and Society (1 paper). The work is most often cited by research in Hardware and Architecture (368 citations), Computer Networks and Communications (508 citations) and Information Systems (235 citations). M.-Y. Wu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Daniel D. Gajski, Dun Cao, Wei Shu, Wei Guo, Weisheng Hu, Ning Gu, R. Simon Sherratt, Uttam Ghosh, Jih-Kwon Peir and Pradip Kumar Sharma. Their work appears in journals such as Ad Hoc Networks, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Software Engineering and IEEE Internet of Things Journal.
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.