Jun Deguchi

714 citations

41 papers · 545 indexed · h-index 12

Impact in

Electrical and Electronic Engineering top 10%
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
- CCD and CMOS Imaging Sensors
- Radio Frequency Integrated Circuit Design
- Advancements in PLL and VCO Technologies
Cellular and Molecular Neuroscience
- Neuroscience and Neural Engineering

Papers in ⓘ

Electrical and Electronic Engineering 33
- Advanced Memory and Neural Computing 11
- Advancements in PLL and VCO Technologies 9
- CCD and CMOS Imaging Sensors 9
- Radio Frequency Integrated Circuit Design 8
- Ferroelectric and Negative Capacitance Devices 8
- Semiconductor materials and devices 5
- Electromagnetic Compatibility and Noise Suppression 5
Computer Vision and Pattern Recognition 10
- Advanced Neural Network Applications 6

Co-authors: Daisuke Miyashita (17 shared papers)Shouhei Kousai (4 shared papers)Tomoya Suzuki (4 shared papers)Takao Marukame (3 shared papers)Yoshifumi Nishi (4 shared papers)Shosuke Fujii (4 shared papers)Radu Berdan (3 shared papers)Masumi Saitoh (3 shared papers)
Journals: Japanese Journal of Applied Physics (5 papers)IEEE Journal of Solid-State Circuits (4 papers)IEICE Transactions on Electronics (3 papers)Nature Electronics (1 paper)Journal of the Physical Society of Japan (1 paper)
Partner nations: Japan United States Belgium

In The Last Decade

Jun Deguchi

35 papers receiving 517 citations

Peers

Countries citing papers authored by Jun Deguchi

Since Specialization

Citations

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

Fields of papers citing papers by Jun Deguchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Low-power linear computation using nonlinear ferroelectric tunnel junction memristors Nature Electronics ·Radu Berdan, Takao Marukame, Kensuke Ota, M. Yamaguchi, Masumi Saitoh, Shosuke Fujii, Jun Deguchi, Yoshifumi Nishi	2020	183
2	A Neuromorphic Chip Optimized for Deep Learning and CMOS Technology With Time-Domain Analog and Digital Mixed-Signal Processing IEEE Journal of Solid-State Circuits ·Daisuke Miyashita, Shouhei Kousai, Tomoya Suzuki, Jun Deguchi	2017	100
3	In-memory Reinforcement Learning with Moderately-Stochastic Conductance Switching of Ferroelectric Tunnel Junctions Radu Berdan, Takao Marukame, Shoichi Kabuyanagi, Kensuke Ota, Masumi Saitoh, Shosuke Fujii, Jun Deguchi, Yoshifumi Nishi	2019	30
4	Three-Dimensionally Stacked Analog Retinal Prosthesis Chip Japanese Journal of Applied Physics ·Jun Deguchi, Taiichiro Watanabe, Tomonori Nakamura, Yoshihiro Nakagawa, Takafumi Fukushima, Jeoung-Chill Shim, Toshiaki Abe, Makoto Tamai, Mitsumasa Koyanagi	2004	24
5	Performance Maximization of In-Memory Reinforcement Learning with Variability-Controlled Hf_1-xZr_xO₂ Ferroelectric Tunnel Junctions K. Ota, M. Yamaguchi, Radu Berdan, Takao Marukame, Yoshifumi Nishi, Kazuhiko Matsuo, Koji Takahashi, Yuta Kamiya, S. Miyano, Jun Deguchi, Shosuke Fujii, M. Saitoh	2019	23
6	Time-domain neural network: A 48.5 TSOp/s/W neuromorphic chip optimized for deep learning and CMOS technology Daisuke Miyashita, Shouhei Kousai, Tomoya Suzuki, Jun Deguchi	2016	18
7	A Fully Integrated 2 $\times$ 1 Dual-Band Direct-Conversion Mobile WiMAX Transceiver With Dual-Mode Fractional Divider and Noise-Shaping Transimpedance Amplifier in 65 nm CMOS IEEE Journal of Solid-State Circuits ·Jun Deguchi, Daisuke Miyashita, Yosuke Ogasawara, Gaku Takemura, Masaomi Iwanaga, Kenichi Sami, Rui Ito, Junji Wadatsumi, Yuki Tsuda, S. Oda, Shunji Kawaguchi, Nobuyuki Itoh, Mototsugu Hamada	2010	18
8	A −104dBc/Hz in-band phase noise 3GHz all digital PLL with phase interpolation based hierarchical time to digital convertor Daisuke Miyashita, Hiroyuki Kobayashi, Jun Deguchi, Shouhei Kousai, Mototsugu Hamada	2011	13
9	A 187.5µVrms-read-noise 51mW 1.4Mpixel CMOS image sensor with PMOSCAP column CDS and 10b self-differential offset-cancelled pipeline SAR-ADC Jun Deguchi, Fumihiko Tachibana, M. Morimoto, M. Chiba, T. Miyaba, Hiroshi Tanaka, Kazuhiro Takenaka, Sora Funayama, K. Amano, Katsuaki Sugiura, Ryuta Okamoto, S. Kousai	2013	12
10	Adaptive Quantization Method for CNN with Computational-Complexity-Aware Regularization Kengo Nakata, Daisuke Miyashita, Jun Deguchi, Ryuichi Fujimoto	2021	12
11	A -104dBc/Hz In-Band Phase Noise 3GHz All Digital PLL with Phase Interpolation Based Hierarchical Time to Digital Converter IEICE Transactions on Electronics ·Daisuke Miyashita, Hiroyuki Kobayashi, Jun Deguchi, Shouhei Kousai, Mototsugu Hamada, Ryuichi Fujimoto	2012	12
12	FPGA-based CNN Processor with Filter-Wise-Optimized Bit Precision Asuka Maki, Daisuke Miyashita, Kengo Nakata, Fumihiko Tachibana, Tomoya Suzuki, Jun Deguchi	2018	11
13	A 0.6V 380µW −14dBm LO-input 2.4GHz double-balanced current-reusing single-gate CMOS mixer with cyclic passive combiner Jun Deguchi, Daisuke Miyashita, Mototsugu Hamada	2009	10
14	30.3 A 25.6Gb/s Uplink-Downlink Interface Employing PAM-4-Based 4-Channel Multiplexing and Cascaded CDR Circuits in Ring Topology for High-Bandwidth and Large-Capacity Storage Systems Takashi Toi, Junji Wadatsumi, Hiroyuki Kobayashi, Yutaka Shimizu, Yuji Satoh, Makoto Morimoto, Rui Ito, Mitsuyuki Ashida, Yuta Tsubouchi, Mai Nozawa, Urakawa Go, Jun Deguchi	2019	9
15	Evaluation of Electrical Stimulus Current Applied to Retina Cells for Retinal Prosthesis Japanese Journal of Applied Physics ·Keita Motonami, Taiichiro Watanabe, Jun Deguchi, Takafumi Fukushima, Hiroshi Tomita, Eriko Sugano, Manami Sato, Hiroyuki Kurino, Makoto Tamai, Mitsumasa Koyanagi	2006	8
16	Development of a High Speed Vision System for Mobile Robots Atsushi Konno, Ryo Uchikura, Toshiyuki Ishihara, Teppei Tsujita, Takeaki Sugimura, Jun Deguchi, Mitsumasa Koyanagi, Masaru Uchiyama	2006	7
17	Post Training Weight Compression with Distribution-based Filter-wise Quantization Step Shin‐ichi Sasaki, Asuka Maki, Daisuke Miyashita, Jun Deguchi	2019	6
18	A fully integrated 2×1 dual-band direct-conversion transceiver with dual-mode fractional divider and noise-shaping TIA for mobile WiMAX SoC in 65nm CMOS Jun Deguchi, Daisuke Miyashita, Yosuke Ogasawara, Gaku Takemura, Masaomi Iwanaga, Kenichi Sami, Rui Ito, Junji Wadatsumi, Yuki Tsuda, S. Oda, Shunji Kawaguchi, Nobuyuki Itoh, Mototsugu Hamada	2010	5
19	A 1.4Mpixel CMOS image sensor with multiple row-rescan based data sampling for optical camera communication Jun Deguchi, Toshio Yamagishi, H. Majima, Nau Ozaki, Kazuhiro Hiwada, M. Morimoto, Tatsuji Ashitani, S. Kousai	2014	5
20	A 12.8-Gb/s Daisy Chain-Based Downlink I/F Employing Spectrally Compressed Multi-Band Multiplexing for High-Bandwidth, Large-Capacity Storage Systems IEEE Journal of Solid-State Circuits ·Yuta Tsubouchi, Daisuke Miyashita, Takashi Toi, Yuji Satoh, Fumihiko Tachibana, Junji Wadatsumi, Makoto Morimoto, Ryuichi Fujimoto, Jun Deguchi	2019	4

About Jun Deguchi

Jun Deguchi is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Cellular and Molecular Neuroscience and Media Technology, having authored 41 papers that have together received 545 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (11 papers), Advancements in PLL and VCO Technologies (9 papers), CCD and CMOS Imaging Sensors (9 papers), Radio Frequency Integrated Circuit Design (8 papers), Ferroelectric and Negative Capacitance Devices (8 papers), Advanced Neural Network Applications (6 papers), Semiconductor materials and devices (5 papers) and Electromagnetic Compatibility and Noise Suppression (5 papers). The work is most often cited by research in Electrical and Electronic Engineering (477 citations), Cellular and Molecular Neuroscience (80 citations), Hardware and Architecture (22 citations), Artificial Intelligence (97 citations) and Computer Vision and Pattern Recognition (50 citations). Jun Deguchi has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Daisuke Miyashita, Shouhei Kousai, Tomoya Suzuki, Takao Marukame, Yoshifumi Nishi, Shosuke Fujii, Radu Berdan, Masumi Saitoh, Kensuke Ota and M. Yamaguchi. Their work appears in journals such as Japanese Journal of Applied Physics, IEEE Journal of Solid-State Circuits, IEICE Transactions on Electronics, Nature Electronics and Journal of the Physical Society of Japan.

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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