Masayuki Ikebe

794 total citations
84 papers, 528 citations indexed

About

Masayuki Ikebe is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Masayuki Ikebe has authored 84 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Electrical and Electronic Engineering, 30 papers in Computer Vision and Pattern Recognition and 15 papers in Artificial Intelligence. Recurrent topics in Masayuki Ikebe's work include CCD and CMOS Imaging Sensors (21 papers), Advanced Memory and Neural Computing (15 papers) and Advanced Vision and Imaging (14 papers). Masayuki Ikebe is often cited by papers focused on CCD and CMOS Imaging Sensors (21 papers), Advanced Memory and Neural Computing (15 papers) and Advanced Vision and Imaging (14 papers). Masayuki Ikebe collaborates with scholars based in Japan and Greece. Masayuki Ikebe's co-authors include Tetsuya Asai, Masato Motomura, Shinya Takamaeda-Yamazaki, Kota Ando, Kodai Ueyoshi, Tadahiro Kuroda, Eiichi Sano, Shimpei Sato, Hiroki Nakahara and Haruyoshi Yonekawa and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, Japanese Journal of Applied Physics and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Masayuki Ikebe

74 papers receiving 516 citations

Peers

Countries citing papers authored by Masayuki Ikebe

Since Specialization

Citations

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

Fields of papers citing papers by Masayuki Ikebe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayuki Ikebe

This figure shows the co-authorship network connecting the top 25 collaborators of Masayuki Ikebe. A scholar is included among the top collaborators of Masayuki Ikebe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Masayuki Ikebe. Masayuki Ikebe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A deep registration method for accurate quantification of joint space narrowing progression in rheumatoid arthritis 2023 ·Computerized Medical Imaging and Graphics ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Jun Fukae, Kenneth Sutherland, Masayuki Ikebe, Tamotsu Kamishima	6
2	Fully automatic software for detecting radiographic joint space narrowing progression in rheumatoid arthritis: phantom study and comparison with visual assessment 2022 ·Japanese Journal of Radiology ·(unknown), (unknown), Masayuki Ikebe, Kenichi Tamura, Kenneth Sutherland, Jun Fukae, Kazuhide Tanimura, Tamotsu Kamishima	3
3	Linearity Improvement of VCO-Based ADC via Complementary Bias Voltage Control for IoT Devices 2021 ·Journal of Signal Processing ·(unknown), Masayuki Ikebe, Masato Motomura	2
4	Quantification of Joint Space Width Difference on Radiography Via Phase-Only Correlation (POC) Analysis: a Phantom Study Comparing with Various Tomographical Modalities Using Conventional Margin-Contouring 2020 ·Journal of Digital Imaging ·(unknown), (unknown), (unknown), Masayuki Ikebe, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Kenichi Tamura, Kenneth Sutherland, (unknown), Ko Chiba, Kazuyuki Minowa, Masataka Uetani, Tamotsu Kamishima	3
5	Wideband terahertz imaging pixel with a small on-chip antenna in 180 nm CMOS 2019 ·Japanese Journal of Applied Physics ·(unknown), (unknown), (unknown), Eiichi Sano, (unknown), Yuma Takida, (unknown), Hiroaki Minamide, Masayuki Ikebe	5
6	A 32X32-Pixel 0.9THz Imager with Pixel-Parallel 12b VCO-Based ADC in 0.18μm CMOS 2019 ·(unknown), (unknown), (unknown), (unknown), (unknown), Eiichi Sano, Yuma Takida, Hiroaki Minamide, Masayuki Ikebe	2
7	A study on a low power optimization algorithm for an edge-AI device 2019 ·Nonlinear Theory and Its Applications IEICE ·T. Kaneko, (unknown), (unknown), Shinya Takamaeda-Yamazaki, Masayuki Ikebe, Masato Motomura, Tetsuya Asai	5
8	Low latency divider using ensemble of moving average curves 2017 ·(unknown), Masayuki Ikebe, Takeshi Shimada, Tetsuya Asai, Masato Motomura	1
9	In-memory area-efficient signal streaming processor design for binary neural networks 2017 ·Haruyoshi Yonekawa, Shimpei Sato, Hiroki Nakahara, Kota Ando, Kodai Ueyoshi, (unknown), (unknown), Shinya Takamaeda-Yamazaki, Masayuki Ikebe, Tetsuya Asai, Masato Motomura	6
10	A High Performance and Energy Efficient Microprocessor with a Novel Restricted Dynamically Reconfigurable Accelerator 2017 ·Circuits and Systems ·(unknown), Shinya Takamaeda-Yamazaki, Masayuki Ikebe, Masato Motomura, Tetsuya Asai	4
11	FPGA-Based Design for Motion Vector Estimation Exploiting High-Speed Imaging and Its Application to Motion Classification with Neural Networks 2014 ·Journal of Signal Processing ·(unknown), (unknown), Masayuki Ikebe, Tetsuya Asai, Tadahiro Kuroda, Masato Motomura	1
12	Recent progress in the technology linking sensors and digital circuits 2014 ·IEICE Electronics Express ·Masayuki Ikebe	1
13	A 0.6–4.5 GHz inductorless CMOS low noise amplifier with gyrator-C network 2011 ·(unknown), Masayuki Ikebe, Junichi Motohisa, Yoshihito Amemiya, Eiichi Sano	1
14	Local adaptive tone mapping with composite multiple gamma functions 2009 ·(unknown), (unknown), Masayuki Ikebe, (unknown)	11
15	A Wide-Dynamic-Range Compression Image Sensor With Negative-Feedback Resetting 2007 ·IEEE Sensors Journal ·Masayuki Ikebe, (unknown)	15
16	CMOS-Image Sensor with PD-Capacitance Modulation Using Negative Feedback Resetting 2006 ·The Journal of The Institute of Image Information and Television Engineers ·Masayuki Ikebe, Keita Saito	0
17	On-Chip Fixed-Pattern-Noise Canceling by Negative-Feedback Reset for CMOS Image Sensors 2005 ·The Journal of The Institute of Image Information and Television Engineers ·(unknown), Masayuki Ikebe, Tetsuya Asai, Yoshihito Amemiya	2
18	A quadrilateral-object composer for binary images with reaction–diffusion cellular automata 2005 ·International Journal of Parallel Emergent and Distributed Systems ·Tetsuya Asai, Masayuki Ikebe, Tetsuya Hirose, Yoshihito Amemiya	1
19	A quadrilateral-object composer for binary images with reaction-diffusion cellular automata 2004 ·Masayuki Ikebe, Tetsuya Asai, Tetsuya Hirose, Yoshiyuki Amemiya	0
20	Cellular νMOS Circuits Performing Edge Detection with Difference-of-Gaussian Filters 2000 ·Japanese Journal of Applied Physics ·(unknown), Masayuki Ikebe, Tetsuya Asai, Yoshihito Amemiya	14

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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