Yaohan Chu

608 citations
42 papers · 412 · h-index 9

Impact in

Papers in

Yaohan Chu

40 papers receiving 347 citations

Peers

Yaohan Chu
Comparison fields: 5 of 58
  • Hardware and Architecture 216
  • Computational Theory and Mathematics 91
  • Software 20
  • Computer Networks and Communications 91
  • Artificial Intelligence 91
Replace W.H. Wolf with:
W.H. Wolf United States
Fred Halsall United Kingdom
Victor P. Nelson United States
Reinhold P. Weicker Germany
Henry C. Chang United States
Samar Abdi United States
Satnam Singh United Kingdom
David P. Misunas United States
Pablo Sánchez Spain
Slobodan Matic United States
Yaohan Chu relative to W.H. Wolf United States W.H. Wolf's profile →
Citations per field
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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 3 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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196581
2
Computer organization and microprogramming
197257
3
Digital computer design fundamentals
196245
4 195218
5
Electronic digital integrating computers : digital differential analyzers
196418
6 196518
7 198117
8
Introduction to computer organization
197015
9 197414
10 19769
11 19759
12 19778
13 19658
14 19767
15 19787
16 19797
17 19766
18
Direct-Execution Computer Architecture.
19775
19 19735
20 19755

About Yaohan Chu

Yaohan Chu is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics and Software, having authored 42 papers that have together received 412 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), Advanced Data Storage Technologies (2 papers), Sensor Technology and Measurement Systems (2 papers) and Numerical Methods and Algorithms (2 papers). The work is most often cited by research in Hardware and Architecture (216 citations), Computational Theory and Mathematics (91 citations), Software (20 citations), Computer Networks and Communications (91 citations) and Artificial Intelligence (91 citations). Yaohan Chu has collaborated with scholars based in United States and France. Frequent co-authors include Robert C. Cannon, Francis Joseph Murray 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 Journal of Dynamic Systems Measurement and Control.

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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