Gregory K. Chen

1.0k citations
22 papers · 777 · h-index 14

Impact in

  • Hardware and Architecture top 2%
    • Physical Unclonable Functions (PUFs) and Hardware Security
    • Parallel Computing and Optimization Techniques
  • Electrical and Electronic Engineering top 5%
    • Advanced Memory and Neural Computing
    • Ferroelectric and Negative Capacitance Devices
    • Integrated Circuits and Semiconductor Failure Analysis
    • Low-power high-performance VLSI design

Papers in

  • Electrical and Electronic Engineering 19
    • Advanced Memory and Neural Computing 10
    • Low-power high-performance VLSI design 6
    • Ferroelectric and Negative Capacitance Devices 5
    • Semiconductor materials and devices 4
    • Advancements in Semiconductor Devices and Circuit Design 4
  • Hardware and Architecture 9
    • Parallel Computing and Optimization Techniques 4
Co-authors
Ram Krishnamurthy (16 shared papers)Phil Knag (13 shared papers)Raghavan Kumar (8 shared papers)H. Ekin Sumbul (7 shared papers)David Blaauw (6 shared papers)Dennis Sylvester (6 shared papers)Himanshu Kaul (7 shared papers)Amit Agarwal (7 shared papers)
Journals
IEEE Journal of Solid-State Circuits (6 papers)IEEE Solid-State Circuits Letters (2 papers)2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits) (1 paper)Digest of technical papers/Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design (1 paper)International Conference on Computer Aided Design (1 paper)
Partner nations
United StatesSouth KoreaUnited Kingdom

In The Last Decade

Gregory K. Chen

21 papers receiving 766 citations

Peers

Gregory K. Chen
Comparison fields: 5 of 41
  • Hardware and Architecture 332
  • Electrical and Electronic Engineering 685
  • Cellular and Molecular Neuroscience 171
  • Cognitive Neuroscience 87
  • Artificial Intelligence 143
Replace Wenfeng Zhao with:
Wenfeng Zhao United States
Xiaoxin Cui China
Shuangchen Li China
Phil Knag United States
Yen-Cheng Chiu Taiwan
Shanshi Huang United States
Hongwu Jiang United States
Anh Tuan Singapore
H. Ekin Sumbul United States
Abderazek Ben Abdallah Japan
Gregory K. Chen relative to Wenfeng Zhao United States Wenfeng Zhao's profile →
Citations per field
00.5×1.5×
Wenfeng Zhao · 1×
Citations per year

Countries citing papers authored by Gregory K. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Gregory K. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
16.2 A 0.19pJ/b PVT-variation-tolerant hybrid physically unclonable function circuit for 100% stable secure key generation in 22nm CMOS
Sanu Mathew, Sudhir Satpathy, Mark Anders, Himanshu Kaul, Steven K. Hsu, Amit Agarwal, Gregory K. Chen, Rachael J. Parker, Ram Krishnamurthy, Vivek De
2014201
2
A 4096-Neuron 1M-Synapse 3.8-pJ/SOP Spiking Neural Network With On-Chip STDP Learning and Sparse Weights in 10-nm FinFET CMOS
IEEE Journal of Solid-State Circuits ·Gregory K. Chen, Raghavan Kumar, H. Ekin Sumbul, Phil Knag, Ram Krishnamurthy
2018158
3
DIMC: 2219TOPS/W 2569F2/b Digital In-Memory Computing Macro in 28nm Based on Approximate Arithmetic Hardware
2022 IEEE International Solid- State Circuits Conference (ISSCC) ·Dewei Wang, Chuan-Tung Lin, Gregory K. Chen, Phil Knag, Ram Krishnamurthy, Mingoo Seok
202277
4
A hybrid DC-DC converter for sub-microwatt sub-1V implantable applications
Michael Wieckowski, Gregory K. Chen, Mingoo Seok, David Blaauw, Dennis Sylvester
200947
5
Algorithm and hardware design of discrete-time spiking neural networks based on back propagation with binary activations
Shihui Yin, Shreyas Kolala Venkataramanaiah, Gregory K. Chen, Ram Krishnamurthy, Yu Cao, Chaitali Chakrabarti, Jae-sun Seo
201746
6
Yield-driven near-threshold SRAM design
International Conference on Computer Aided Design ·Gregory K. Chen, David Blaauw, Trevor Mudge, Dennis Sylvester, Nam Sung Kim
200738
7
Reconfigurable energy efficient near threshold cache architectures
Ronald Dreslinski, Gregory K. Chen, Trevor Mudge, David Blaauw, Dennis Sylvester, Krisztián Flautner
200835
8
Yield-driven near-threshold SRAM design
Digest of technical papers/Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design ·Gregory K. Chen, David Blaauw, Trevor Mudge, Dennis Sylvester, Nam Sung Kim
200731
9
A 617-TOPS/W All-Digital Binary Neural Network Accelerator in 10-nm FinFET CMOS
IEEE Journal of Solid-State Circuits ·Phil Knag, Gregory K. Chen, H. Ekin Sumbul, Raghavan Kumar, Steven K. Hsu, Amit Agarwal, Monodeep Kar, Seongjong Kim, Mark Anders, Himanshu Kaul, Ram Krishnamurthy
202028
10
A 4096-Neuron 1M-Synapse 3.8PJ/SOP Spiking Neural Network with On-Chip STDP Learning and Sparse Weights in 10NM FinFET CMOS
Gregory K. Chen, Raghavan Kumar, H. Ekin Sumbul, Phil Knag, Ram Krishnamurthy
201820
11
A 617 TOPS/W All Digital Binary Neural Network Accelerator in 10nm FinFET CMOS
Phil Knag, Gregory K. Chen, H. Ekin Sumbul, Raghavan Kumar, Mark Anders, Himanshu Kaul, Steven K. Hsu, Amit Agarwal, Monodeep Kar, Seongjong Kim, Ram Krishnamurthy
202020
12
A 4900-$\mu$ m2 839-Mb/s Side-Channel Attack- Resistant AES-128 in 14-nm CMOS With Heterogeneous Sboxes, Linear Masked MixColumns, and Dual-Rail Key Addition
IEEE Journal of Solid-State Circuits ·Raghavan Kumar, Vikram Suresh, Monodeep Kar, Sudhir Satpathy, Mark Anders, Himanshu Kaul, Amit Agarwal, Steven Hsu, Gregory K. Chen, Ram Krishnamurthy, Vivek De, Sanu Mathew
202019
13
An Eight-Core RISC-V Processor With Compute Near Last Level Cache in Intel 4 CMOS
IEEE Journal of Solid-State Circuits ·Gregory K. Chen, Phil Knag, Carlos Tokunaga, Ram Krishnamurthy
202215
14
DIMCA: An Area-Efficient Digital In-Memory Computing Macro Featuring Approximate Arithmetic Hardware in 28 nm
IEEE Journal of Solid-State Circuits ·Chuan-Tung Lin, Dewei Wang, Bo Zhang, Gregory K. Chen, Phil Knag, Ram Krishnamurthy, Mingoo Seok
202313
15
A 128kb high density portless SRAM using hierarchical bitlines and thyristor sense amplifiers
Michael Wieckowski, Gregory K. Chen, Daeyeon Kim, David Blaauw, Dennis Sylvester
20116
16
A 2.9–33.0 TOPS/W Reconfigurable 1-D/2-D Compute-Near-Memory Inference Accelerator in 10-nm FinFET CMOS
IEEE Solid-State Circuits Letters ·H. Ekin Sumbul, Gregory K. Chen, Phil Knag, Raghavan Kumar, Mark Anders, Himanshu Kaul, Steven K. Hsu, Amit Agarwal, Monodeep Kar, Seongjong Kim, Ram Krishnamurthy
20206
17
T-REX: A 68-to-567μs/Token 0.41-to-3.95μJ/Token Transformer Accelerator with Reduced External Memory Access and Enhanced Hardware Utilization in 16nm FinFET
Seunghyun Moon, Mao Li, Gregory K. Chen, Phil Knag, Ram Krishnamurthy, Mingoo Seok
20255
18
25.9 Reconfigurable Transient Current-Mode Global Interconnect Circuits in 10nm CMOS for High-Performance Processors with Wide Voltage-Frequency Operating Range
Mark Anders, Himanshu Kaul, Seongjong Kim, Gregory K. Chen, Raghavan Kumar, H. Ekin Sumbul, Phil Knag, Monodeep Kar, Steven K. Hsu, Amit Agarwal, Vikram Suresh, Sanu Mathew, Ram Krishnamurthy, Vivek De
20204
19
An 8-core RISC-V Processor with Compute near Last Level Cache in Intel 4 CMOS
2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits) ·Gregory K. Chen, Phil Knag, Carlos Tokunaga, Ram Krishnamurthy
20223
20
A 9.0-TOPS/W Hash-Based Deep Neural Network Accelerator Enabling 128× Model Compression in 10-nm FinFET CMOS
IEEE Solid-State Circuits Letters ·Raghavan Kumar, Gregory K. Chen, H. Ekin Sumbul, Phil Knag, Mark Anders, Himanshu Kaul, Steven K. Hsu, Amit Agarwal, Monodeep Kar, Seongjong Kim, Vikram Suresh, Ram Krishnamurthy, Vivek De, Sanu Mathew
20203

About Gregory K. Chen

Gregory K. Chen is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 22 papers that have together received 777 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (10 papers), Low-power high-performance VLSI design (6 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Semiconductor materials and devices (4 papers), Parallel Computing and Optimization Techniques (4 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Advanced Neural Network Applications (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Hardware and Architecture (332 citations), Electrical and Electronic Engineering (685 citations), Cellular and Molecular Neuroscience (171 citations), Cognitive Neuroscience (87 citations) and Artificial Intelligence (143 citations). Gregory K. Chen has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Ram Krishnamurthy, Phil Knag, Raghavan Kumar, H. Ekin Sumbul, David Blaauw, Dennis Sylvester, Himanshu Kaul, Amit Agarwal, Mark Anders and Steven K. Hsu. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Solid-State Circuits Letters, 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), Digest of technical papers/Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design and International Conference on Computer Aided Design.

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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