Donald Yeung

2.3k citations
72 papers · 1.6k indexed · h-index 21
Topics
Parallel Computing and Optimization Techniques (59 papers)Advanced Data Storage Technologies (37 papers)Interconnection Networks and Systems (23 papers)

In The Last Decade

Donald Yeung

68 papers receiving 1.5k citations

Peers

Donald Yeung
Comparison fields: 5 of 41
  • Hardware and Architecture 1.4k
  • Computer Networks and Communications 1.3k
  • Electrical and Electronic Engineering 392
  • Information Systems 254
  • Artificial Intelligence 115
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Donald Yeung relative to Jamison D. Collins United States Jamison D. Collins's profile →
Citations per field
00.5×2.5×
Jamison D. Collins · 1×
Citations per year

Countries citing papers authored by Donald Yeung

Since Specialization
Citations

This map shows the geographic impact of Donald Yeung'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 Donald Yeung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald Yeung more than expected).

Fields of papers citing papers by Donald Yeung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald Yeung. 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 Donald Yeung. The network helps show where Donald Yeung may publish in the future.

Co-authorship network of co-authors of Donald Yeung

This figure shows the co-authorship network connecting the top 25 collaborators of Donald Yeung. A scholar is included among the top collaborators of Donald Yeung 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 Donald Yeung. Donald Yeung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 7
3 7
4 13
5 13
6 5
7
Multicore performance optimization using partner cores
11
8
Exploiting Application-Level Correctness for Low-Cost Fault Tolerance
12
9
Enhancing LTP-Driven Cache Management Using Reuse Distance Information
2
10
The Efficacy of Software Prefetching and Locality Optimizations on Future Memory Systems
21
11 4
12
Optimizing SMT Processors for High Single-Thread Performance
5
13 30
14
Exploiting Application-Level Information to Reduce Memory Bandwidth Consumption
6
15 85
16 2
17 21
18 17
19 15
20 9

About Donald Yeung

Donald Yeung is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 72 papers that have together received 1.6k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (59 papers), Advanced Data Storage Technologies (37 papers) and Interconnection Networks and Systems (23 papers). The work is most often cited by research in Hardware and Architecture (1.4k citations), Computer Networks and Communications (1.3k citations) and Information Systems (254 citations). Donald Yeung has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Anant Agarwal, Xuanhua Li, Dong-Keun Kim, John Kubiatowicz, David Kranz, Beng-Hong Lim, Kenneth MacKenzie, David Chaiken, Kirk L. Johnson and Ricardo Bianchini. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Parallel and Distributed Systems and ACM Transactions on Computer Systems.

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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