Yaohan Chu

614 citations
41 papers · 367 · h-index 10

Impact in

Papers in

Yaohan Chu

36 papers receiving 307 citations

Peers

Yaohan Chu
Comparison fields: 5 of 53
  • Hardware and Architecture 194
  • Computational Theory and Mathematics 78
  • Software 17
  • Computer Networks and Communications 79
  • Artificial Intelligence 80
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Gajski United States
F. Halsall United Kingdom
W. R. Crowther United States
L. Môtus Estonia
Sumit Mohanty India
Pablo Sánchez Spain
Reinhold Weicker Germany
Reinaldo A. Bergamaschi United States
Abhijit Davare United States
Mehdi Amirijoo Sweden
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Citations per year

Countries citing papers authored by Yaohan Chu

Since Specialization
Citations

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

Fields of papers citing papers by Yaohan Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Yaohan Chu, 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 Yaohan Chu Line = papers co-authored together Yaohan Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196571
2
Digital computer design fundamentals
196247
3
Computer organization and microprogramming
197247
4 196520
5 195217
6
Electronic digital integrating computers : digital differential analyzers
196416
7 198115
8
Introduction to computer organization
197014
9 197410
10 19769
11 19759
12 19778
13 19658
14 19767
15 19787
16 19766
17 19796
18 19775
19 19755
20
Direct-Execution Computer Architecture.
19774

About Yaohan Chu

Yaohan Chu is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 41 papers that have together received 367 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (18 papers), Embedded Systems Design Techniques (13 papers), Distributed and Parallel Computing Systems (6 papers), Neural Networks and Applications (4 papers), Logic, programming, and type systems (3 papers), Model-Driven Software Engineering Techniques (2 papers), Experimental Learning in Engineering (2 papers) and Sensor Technology and Measurement Systems (2 papers). The work is most often cited by research in Hardware and Architecture (194 citations), Computational Theory and Mathematics (78 citations), Software (17 citations), Computer Networks and Communications (79 citations) and Artificial Intelligence (80 citations). Yaohan Chu has collaborated with scholars based in United States, France and Sweden. Frequent co-authors include Robert C. Cannon, Francis J. Murray, Elliott I. Organick, Robert E. Noonan and David M. Auslander. Their work appears in journals such as Computer, Mathematics of Computation, IEEE Transactions on Software Engineering, Communications of the ACM and ACM SIGIR Forum.

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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