Deming Chen

7.5k citations
287 papers · 5.3k · h-index 39

Impact in

Papers in

Deming Chen

274 papers receiving 5.1k citations

Peers

Deming Chen
Comparison fields: 5 of 145
  • Hardware and Architecture 2.4k
  • Computer Networks and Communications 1.4k
  • Computer Vision and Pattern Recognition 1.1k
  • Electrical and Electronic Engineering 2.4k
  • Computational Mathematics 19
Replace Lei He with:
Lei He United States
Ali Shafiee United States
Kai Huang China
Zhiying Wang China
Peng Li China
Hailong Yang China
Yao Chen China
Srimat Chakradhar United States
Abhijit Chatterjee United States
Bin Li China
Deming Chen relative to Lei He United States Lei He's profile →
Citations per field
00.5×4.8×
Lei He · 1×
Citations per year

Countries citing papers authored by Deming Chen

Since Specialization
Citations

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

Fields of papers citing papers by Deming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 287 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018236
2 2007177
3 2003135
4 2009127
5 2015120
6 2005109
7 2016102
8 201491
9 200789
10 201487
11 201984
12 200981
13 200676
14 201976
15 201373
16 202172
17 200367
18 201264
19 201763
20 200663

About Deming Chen

Deming Chen is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 287 papers that have together received 5.3k indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (86 papers), Parallel Computing and Optimization Techniques (83 papers), Interconnection Networks and Systems (58 papers), Low-power high-performance VLSI design (57 papers), VLSI and FPGA Design Techniques (53 papers), VLSI and Analog Circuit Testing (47 papers), Advanced Neural Network Applications (31 papers) and Advanced Memory and Neural Computing (22 papers). The work is most often cited by research in Hardware and Architecture (2.4k citations), Computer Networks and Communications (1.4k citations), Computer Vision and Pattern Recognition (1.1k citations), Electrical and Electronic Engineering (2.4k citations) and Computational Mathematics (19 citations). Deming Chen has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Wen‐mei Hwu, Kyle Rupnow, Jason Cong, Xiaofan Zhang, Jason Cong, Yun Liang, Jinjun Xiong, Zhenxin Gu, Yao Chen and Martin D. F. Wong. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM Transactions on Design Automation of Electronic Systems, IEEE Transactions on Computers, ACM Transactions on Reconfigurable Technology and Systems and Bioinformatics.

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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