W. Liu

36 papers receiving 736 citations

Peers

W. Liu
Comparison fields: 5 of 68
  • Hardware and Architecture 128
  • Cellular and Molecular Neuroscience 254
  • Electrical and Electronic Engineering 591
  • Biomedical Engineering 190
  • Cognitive Neuroscience 71
Replace Bai‐Sun Kong with:
Bai‐Sun Kong South Korea
Masud H. Chowdhury United States
Tony F. Wu United States
B. Hoefflinger Germany
Kyoung-Rok Cho South Korea
Ralf Brederlow Germany
Leland Chang United States
Alexandre Valentian France
Visvesh Sathe United States
Jordi Madrenas Spain
W. Liu relative to Bai‐Sun Kong South Korea Bai‐Sun Kong's profile →
Citations per field
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Bai‐Sun Kong · 1×
Citations per year

Countries citing papers authored by W. Liu

Since Specialization
Citations

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

Fields of papers citing papers by W. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000293
2 1998165
3 199440
4 199333
5 199828
6 200526
7 202524
8 200823
9 199718
10 200515
11 199514
12 199012
13 200211
14 20169
15 20248
16 20038
17 20037
18 19967
19 20026
20 20035

About W. Liu

W. Liu is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Biomedical Engineering, Cognitive Neuroscience and Hardware and Architecture, having authored 38 papers that have together received 782 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (8 papers), EEG and Brain-Computer Interfaces (6 papers), Advanced Memory and Neural Computing (6 papers), Analog and Mixed-Signal Circuit Design (5 papers), Advancements in PLL and VCO Technologies (5 papers), Semiconductor materials and devices (5 papers), Diamond and Carbon-based Materials Research (5 papers) and Low-power high-performance VLSI design (5 papers). The work is most often cited by research in Hardware and Architecture (128 citations), Cellular and Molecular Neuroscience (254 citations), Electrical and Electronic Engineering (591 citations), Biomedical Engineering (190 citations) and Cognitive Neuroscience (71 citations). W. Liu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Maciej Ciesielski, Wayne Burleson, F. Klass, Mark S. Humayun, M. Clements, E. de Juan, E. McGucken, Kasin Vichienchom, S.C. DeMarco and James D. Weiland. Their work appears in journals such as Electronics Letters, The Astrophysical Journal, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Journal of Colloid and Interface Science and IEEE Transactions on Very Large Scale Integration (VLSI) 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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