Kui Dai

619 citations
82 papers · 470 · h-index 10

Impact in

Papers in

    • Parallel Computing and Optimization Techniques 20
    • Embedded Systems Design Techniques 16
    • VLSI and Analog Circuit Testing 11
    • Video Coding and Compression Technologies 7

Kui Dai

75 papers receiving 446 citations

Peers

Kui Dai
Comparison fields: 5 of 58
  • Hardware and Architecture 241
  • Signal Processing 72
  • Computer Networks and Communications 137
  • Electrical and Electronic Engineering 252
  • Computational Theory and Mathematics 48
Replace Masaya Yoshikawa with:
Masaya Yoshikawa Japan
Bhagirath Narahari United States
Michiko Inoue Japan
Yuan‐Sun Chu Taiwan
Sameh Asaad United States
Sezer Gören Türkiye
Florian Zaruba Switzerland
Georgios Karakonstantis United Kingdom
Philippe Coussy France
Luca Cassano Italy
Kui Dai relative to Masaya Yoshikawa Japan Masaya Yoshikawa's profile →
Citations per field
00.5×2×3.3×
Masaya Yoshikawa · 1×
Citations per year

Countries citing papers authored by Kui Dai

Since Specialization
Citations

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

Fields of papers citing papers by Kui Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kui Dai, 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 Kui Dai Line = papers co-authored together Kui Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200745
2 201839
3 201537
4 200835
5 201519
6 200418
7 200616
8 201213
9 200913
10 200812
11 201410
12 200510
13 200610
14 20188
15 20107
16 20067
17 20087
18 20157
19 20087
20 20056

About Kui Dai

Kui Dai is a scholar working on Hardware and Architecture, Signal Processing, Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence, having authored 82 papers that have together received 470 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (20 papers), Embedded Systems Design Techniques (16 papers), VLSI and Analog Circuit Testing (11 papers), Radiation Effects in Electronics (11 papers), Low-power high-performance VLSI design (11 papers), Interconnection Networks and Systems (11 papers), Integrated Circuits and Semiconductor Failure Analysis (8 papers) and Video Coding and Compression Technologies (7 papers). The work is most often cited by research in Hardware and Architecture (241 citations), Signal Processing (72 citations), Computer Networks and Communications (137 citations), Electrical and Electronic Engineering (252 citations) and Computational Theory and Mathematics (48 citations). Kui Dai has collaborated with scholars based in China, Japan and Ireland. Frequent co-authors include Zhiying Wang, Xuecheng Zou, 贺章擎, Meilin Wan, Rui Kun Gong, Libo Huang, Li Shen, Hongyi Lu, Jie Deng and Wei Chen. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Lecture notes in computer science, Journal of Semiconductors, The Structural Design of Tall and Special Buildings and IEEE Transactions on Computer-Aided Design of Integrated Circuits and 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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