M.-Y. Wu

766 total citations · 1 hit paper
8 papers, 543 citations indexed

About

M.-Y. Wu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, M.-Y. Wu has authored 8 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 4 papers in Electrical and Electronic Engineering and 3 papers in Information Systems. Recurrent topics in M.-Y. Wu's work include IoT and Edge/Fog Computing (3 papers), Parallel Computing and Optimization Techniques (3 papers) and Distributed and Parallel Computing Systems (3 papers). M.-Y. Wu is often cited by papers focused on IoT and Edge/Fog Computing (3 papers), Parallel Computing and Optimization Techniques (3 papers) and Distributed and Parallel Computing Systems (3 papers). M.-Y. Wu collaborates with scholars based in United States, China and Saudi Arabia. M.-Y. Wu's co-authors include Daniel D. Gajski, Wei Shu, Dun Cao, Wei Guo, Weisheng Hu, Ning Gu, Jih-Kwon Peir, R. Simon Sherratt, Uttam Ghosh and Pradip Kumar Sharma and has published in prestigious journals such as IEEE Transactions on Software Engineering, IEEE Internet of Things Journal and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

M.-Y. Wu

8 papers receiving 504 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hypertool: a programming aid for message-passing systems

1990 476 citations M.-Y. Wu, Daniel D. Gajski IEEE Transactions on Parallel and Distributed Systems profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
M.-Y. Wu United States	6	508	368	235	72	41	8	543
Xiongren Xiao China	9	232 0.5×	172 0.5×	155 0.7×	17 0.2×	43 1.0×	20	315
M.D. Theys United States	6	250 0.5×	155 0.4×	156 0.7×	21 0.3×	17 0.4×	16	300
Yacine Kessaci France	5	306 0.6×	71 0.2×	299 1.3×	22 0.3×	13 0.3×	9	346
T. Kidd United States	6	416 0.8×	242 0.7×	309 1.3×	27 0.4×	10 0.2×	11	439
Mateusz Guzek Luxembourg	12	314 0.6×	59 0.2×	298 1.3×	24 0.3×	25 0.6×	24	371
Morris A. Jette United States	8	305 0.6×	126 0.3×	184 0.8×	10 0.1×	29 0.7×	11	366
Gerald Sabin United States	10	190 0.4×	153 0.4×	120 0.5×	15 0.2×	34 0.8×	21	243
David P. Bunde United States	7	215 0.4×	165 0.4×	78 0.3×	31 0.4×	26 0.6×	18	240
Ram Huggahalli United States	10	457 0.9×	283 0.8×	144 0.6×	33 0.5×	80 2.0×	16	524
Juan Carlos Sáez Spain	11	601 1.2×	627 1.7×	311 1.3×	17 0.2×	101 2.5×	23	715

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-authorship network of co-authors of M.-Y. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of M.-Y. Wu. A scholar is included among the top collaborators of M.-Y. Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M.-Y. Wu. M.-Y. Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Cao, Dun, Weidong Wang, M.-Y. Wu, et al.. (2024). A general task offloading and resources allocation strategy for multi-RSUs with load unbalance and priority awareness. Ad Hoc Networks. 167. 103690–103690. 1 indexed citations

2.

Cao, Dun, et al.. (2024). Cost-effective task partial offloading and resource allocation for multi-vehicle and multi-MEC on B5G/6G edge networks. Ad Hoc Networks. 156. 103438–103438. 11 indexed citations

3.

Cao, Dun, M.-Y. Wu, Ning Gu, et al.. (2024). Joint Optimization of Computation Offloading and Resource Allocation Considering Task Prioritization in ISAC-Assisted Vehicular Network. IEEE Internet of Things Journal. 11(18). 29523–29532. 12 indexed citations

4.

Hu, Weisheng, et al.. (2008). Task Scheduling and Lightpath Establishment in Optical Grids. se 7. 1966–1974. 27 indexed citations

5.

Ahmad, Iftikhar, et al.. (2000). CASCH: A Software Tool for Automatic Parallelization and Scheduling of Programs on Message-Passing Multiprocessors. 1 indexed citations

6.

Wu, M.-Y. & Wei Shu. (1997). On parallelization of static scheduling algorithms. IEEE Transactions on Software Engineering. 23(8). 517–528. 10 indexed citations

7.

Wu, M.-Y. & Daniel D. Gajski. (1990). Hypertool: a programming aid for message-passing systems. IEEE Transactions on Parallel and Distributed Systems. 1(3). 330–343. 476 indexed citations breakdown →

8.

Peir, Jih-Kwon, Daniel D. Gajski, & M.-Y. Wu. (1987). Programming environments for multiprocessors. 73–93. 5 indexed citations

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.

Explore authors with similar magnitude of impact