Wei‐Chung Hsu

2.0k total citations
123 papers, 1.1k citations indexed

About

Wei‐Chung Hsu is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Wei‐Chung Hsu has authored 123 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Hardware and Architecture, 71 papers in Computer Networks and Communications and 30 papers in Artificial Intelligence. Recurrent topics in Wei‐Chung Hsu's work include Parallel Computing and Optimization Techniques (99 papers), Advanced Data Storage Technologies (38 papers) and Embedded Systems Design Techniques (32 papers). Wei‐Chung Hsu is often cited by papers focused on Parallel Computing and Optimization Techniques (99 papers), Advanced Data Storage Technologies (38 papers) and Embedded Systems Design Techniques (32 papers). Wei‐Chung Hsu collaborates with scholars based in Taiwan, United States and China. Wei‐Chung Hsu's co-authors include Pen-Chung Yew, James E. Smith, Jan‐Jan Wu, Howard Chen, James Goodman, Yeh‐Ching Chung, Pangfeng Liu, Wuu Yang, Dong-Yuan Chen and Tin‐Fook Ngai and has published in prestigious journals such as AIAA Journal, IEEE Transactions on Software Engineering and IEEE Transactions on Computers.

In The Last Decade

Wei‐Chung Hsu

109 papers receiving 1.1k citations

Peers

Wei‐Chung Hsu
Comparison fields: 5 of 37
  • Hardware and Architecture 992
  • Computer Networks and Communications 763
  • Artificial Intelligence 236
  • Information Systems 221
  • Electrical and Electronic Engineering 160
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Citations per field, relative to Wei‐Chung Hsu
Wei‐Chung Hsu · 1×
Citations per year, relative to Wei‐Chung Hsu
Wei‐Chung Hsu · 1×

Countries citing papers authored by Wei‐Chung Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Chung Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Chung Hsu. 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 Wei‐Chung Hsu. The network helps show where Wei‐Chung Hsu may publish in the future.

Co-authorship network of co-authors of Wei‐Chung Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Chung Hsu. A scholar is included among the top collaborators of Wei‐Chung Hsu 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 Wei‐Chung Hsu. Wei‐Chung Hsu 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
# Work Indexed citations
1 2
2 5
3 10
4 5
5 15
6 8
7
Case study on disaster prevention and rescue for railway construction project
0
8 7
9 30
10 11
11 1
12 23
13
Design and implementation of a lightweight dynamic optimization system
65
14
Continuous adaptive object-code re-optimization framework
0
15
Data dependence profiling for speculative optimizations
7
16 20
17 1
18
Phase Locality Detection Using a Branch Trace Buffer for Efficient Profiling in Dynamic Optimization
1
19 6
20 17

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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