M.-Y. Wu

769 citations
8 papers · 544 · 1 hit paper · h-index 6

Impact in

Papers in

M.-Y. Wu

8 papers receiving 507 citations

M.-Y. Wu's Hit Papers

Hypertool: a programming aid for message-passing systems 1990 · 473 citations
4730+12+24Years since publication100200300400

Peers

M.-Y. Wu
Comparison fields: 5 of 26
  • Hardware and Architecture 366
  • Computer Networks and Communications 506
  • Information Systems 232
  • Industrial and Manufacturing Engineering 72
  • Information Systems and Management 11
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T. Kidd United States
Gerald Sabin United States
M.D. Theys United States
David P. Bunde United States
Yacine Kessaci France
Ram Huggahalli United States
S. Ghosh United States
Mateusz Guzek Luxembourg
Morris A. Jette United States
Rajesh Devaraj India
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Citations per field
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Citations per year

Countries citing papers authored by M.-Y. Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 14 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.

Border = papers with M.-Y. Wu Line = papers co-authored together M.-Y. Wu links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Hypertool: a programming aid for message-passing systems
Hit paper breakdown →
1990473
2 200827
3 202415
4 202412
5 199710
6
Programming environments for multiprocessors
19875
7
CASCH: A Software Tool for Automatic Parallelization and Scheduling of Programs on Message-Passing Multiprocessors
20001
8 20241

About M.-Y. Wu

M.-Y. Wu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Hardware and Architecture and General Health Professions, having authored 8 papers that have together received 544 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), Hermeneutics and Narrative Identity (1 paper), Advanced Optical Network Technologies (1 paper) and Optical Network Technologies (1 paper). The work is most often cited by research in Hardware and Architecture (366 citations), Computer Networks and Communications (506 citations), Information Systems (232 citations), Industrial and Manufacturing Engineering (72 citations) and Information Systems and Management (11 citations). M.-Y. Wu has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Daniel D. Gajski, Dun Cao, Wei Shu, Wei Guo, Weisheng Hu, Uttam Ghosh, Pradip Kumar Sharma, R. Simon Sherratt, Ning Gu and Jih-Kwon Peir. 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.

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