Zhufei Chu

441 citations
61 papers · 248 · h-index 10

Impact in

Papers in

Zhufei Chu

48 papers receiving 241 citations

Peers

Zhufei Chu
Comparison fields: 5 of 28
  • Hardware and Architecture 66
  • Computational Theory and Mathematics 88
  • Electrical and Electronic Engineering 200
  • Software 11
  • Artificial Intelligence 33
Replace Valeriy Balabanov with:
Valeriy Balabanov Taiwan
Soner Yaldiz United States
Shih-Chieh Chang Taiwan
Scott Little United States
Sébastien Le Beux France
Afshin Abdollahi United States
Kevin Chung Canada
Trung-Hien Nguyen Belgium
B. Srinivasu India
W. Paul Griffin United States
Zhufei Chu relative to Valeriy Balabanov Taiwan Valeriy Balabanov's profile →
Citations per field
00.5×2.6×
Valeriy Balabanov · 1×
Citations per year

Countries citing papers authored by Zhufei Chu

Since Specialization
Citations

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

Fields of papers citing papers by Zhufei Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201927
2 201920
3 202017
4 202317
5 201116
6 202214
7 201913
8 202212
9 201012
10 201011
11 20147
12 20196
13 20206
14 20125
15 20185
16 20184
17 20194
18 20194
19 20184
20 20174

About Zhufei Chu

Zhufei Chu is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics, Hardware and Architecture, Artificial Intelligence and Software, having authored 61 papers that have together received 248 indexed citations. Recurring topics across this work include Semiconductor materials and devices (19 papers), Quantum-Dot Cellular Automata (18 papers), Advanced Memory and Neural Computing (18 papers), Low-power high-performance VLSI design (17 papers), VLSI and FPGA Design Techniques (15 papers), Advancements in Semiconductor Devices and Circuit Design (14 papers), Formal Methods in Verification (7 papers) and VLSI and Analog Circuit Testing (6 papers). The work is most often cited by research in Hardware and Architecture (66 citations), Computational Theory and Mathematics (88 citations), Electrical and Electronic Engineering (200 citations), Software (11 citations) and Artificial Intelligence (33 citations). Zhufei Chu has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Yinshui Xia, Giovanni De Micheli, Mathias Soeken, William N. N. Hung, Xiaoyu Song, Weiqiang Liu, Yidie Ye, Ge Shi, Libo Qian and Jian Wang. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Circuits & Systems II Express Briefs, Journal of Applied Physics and International Journal of Circuit Theory and Applications.

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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