Wayne Dai

1.2k citations
57 papers · 950 · h-index 18

Impact in

Papers in

Wayne Dai

53 papers receiving 901 citations

Peers

Wayne Dai
Comparison fields: 5 of 27
  • Electrical and Electronic Engineering 862
  • Hardware and Architecture 53
  • Electronic, Optical and Magnetic Materials 63
  • Statistical and Nonlinear Physics 25
  • Computer Networks and Communications 50
Replace Anirudh Devgan with:
Anirudh Devgan United States
A. Devgan United States
Jeong-Taek Kong South Korea
Steven G. Walker United States
Lance A. Glasser United States
Alexandros Kapsalis Greece
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Wayne Dai relative to Anirudh Devgan United States Anirudh Devgan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Wayne Dai

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000106
2 199567
3 199561
4 199655
5 199350
6 199145
7 199645
8 200144
9 199840
10 200140
11 199138
12 199634
13 199227
14 199825
15 201625
16 199324
17 199720
18 199519
19 199615
20 199514

About Wayne Dai

Wayne Dai is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Hardware and Architecture, Electronic, Optical and Magnetic Materials and Computer Graphics and Computer-Aided Design, having authored 57 papers that have together received 950 indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (42 papers), Low-power high-performance VLSI design (11 papers), Interconnection Networks and Systems (7 papers), Electromagnetic Simulation and Numerical Methods (6 papers), Electromagnetic Scattering and Analysis (5 papers), 3D IC and TSV technologies (5 papers), Copper Interconnects and Reliability (4 papers) and Analog and Mixed-Signal Circuit Design (4 papers). The work is most often cited by research in Electrical and Electronic Engineering (862 citations), Hardware and Architecture (53 citations), Electronic, Optical and Magnetic Materials (63 citations), Statistical and Nonlinear Physics (25 citations) and Computer Networks and Communications (50 citations). Wayne Dai has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Hao Ji, Anirudh Devgan, Qing Zhu, Masao Sato, Tsuyoshi Isshiki, David E. Long, Sharad Kapur, Jun Hua Gu, Yici Cai and Chung‐Kuan Cheng. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Circuits and Systems Magazine, International Journal of High Speed Electronics and Systems, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences and Lecture notes in computer science.

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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