Yohei Ikebe

586 total citations
32 papers, 433 citations indexed

About

Yohei Ikebe is a scholar working on Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Surfaces, Coatings and Films. According to data from OpenAlex, Yohei Ikebe has authored 32 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 9 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Surfaces, Coatings and Films. Recurrent topics in Yohei Ikebe's work include Advancements in Photolithography Techniques (9 papers), Electron and X-Ray Spectroscopy Techniques (8 papers) and Integrated Circuits and Semiconductor Failure Analysis (7 papers). Yohei Ikebe is often cited by papers focused on Advancements in Photolithography Techniques (9 papers), Electron and X-Ray Spectroscopy Techniques (8 papers) and Integrated Circuits and Semiconductor Failure Analysis (7 papers). Yohei Ikebe collaborates with scholars based in Japan, Netherlands and Germany. Yohei Ikebe's co-authors include Ryo Shimano, Naoto Nagaosa, Yoshinori Tokura, Hideo Aoki, Ryuichi Masutomi, T. Okamoto, Takahiro Morimoto, M. Kawasaki, Y. Kaneko and Y. Takahashi and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and Physical Review B.

In The Last Decade

Yohei Ikebe

30 papers receiving 419 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yohei Ikebe Japan 11 151 127 110 104 97 32 433
T. Kurabayashi Japan 12 306 2.0× 370 2.9× 20 0.2× 113 1.1× 68 0.7× 36 580
Munetaka Noguchi Japan 15 195 1.3× 573 4.5× 51 0.5× 153 1.5× 53 0.5× 46 870
B. David Germany 13 217 1.4× 145 1.1× 69 0.6× 48 0.5× 209 2.2× 43 584
Muharrem Bayraktar Netherlands 15 292 1.9× 162 1.3× 36 0.3× 78 0.8× 7 0.1× 43 683
H. Matz Germany 11 139 0.9× 75 0.6× 23 0.2× 16 0.2× 82 0.8× 25 550
A. Blue United Kingdom 11 49 0.3× 251 2.0× 67 0.6× 62 0.6× 109 1.1× 35 419
Y. Saado Israel 9 141 0.9× 198 1.6× 34 0.3× 117 1.1× 60 0.6× 16 377
C. Søndergaard Denmark 12 215 1.4× 78 0.6× 47 0.4× 139 1.3× 109 1.1× 30 613
Chuan Cui China 9 66 0.4× 49 0.4× 58 0.5× 115 1.1× 160 1.6× 24 577
Sławka J. Pfauntsch United Kingdom 12 87 0.6× 97 0.8× 17 0.2× 59 0.6× 41 0.4× 37 382

Countries citing papers authored by Yohei Ikebe

Since Specialization
Citations

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

Fields of papers citing papers by Yohei Ikebe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yohei Ikebe

This figure shows the co-authorship network connecting the top 25 collaborators of Yohei Ikebe. A scholar is included among the top collaborators of Yohei 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 Yohei Ikebe. Yohei Ikebe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Fujima, Noriyuki, Yohei Ikebe, Hiroyuki Kameda, et al.. (2025). Dual-type deep learning-based image reconstruction for advanced denoising and super-resolution processing in head and neck T2-weighted imaging. Japanese Journal of Radiology. 43(7). 1097–1105. 2 indexed citations
3.
Ikebe, Yohei, et al.. (2024). Proposal of cap layer design combined with absorber for EUV mask. 25–25. 1 indexed citations
4.
Onoue, T., et al.. (2024). Development of next generation EUV mask blanks. 2020. 34–34. 1 indexed citations
5.
Fujima, Noriyuki, Junichi Nakagawa, Yohei Ikebe, et al.. (2024). Improved image quality in contrast-enhanced 3D-T1 weighted sequence by compressed sensing-based deep-learning reconstruction for the evaluation of head and neck. Magnetic Resonance Imaging. 108. 111–115. 4 indexed citations
6.
Kaneko, Yukio, Atsuro Suzuki, Masahiro Takizawa, et al.. (2024). Accelerating FLAIR imaging via deep learning reconstruction: potential for evaluating white matter hyperintensities. Japanese Journal of Radiology. 43(2). 200–209. 3 indexed citations
7.
Jansen, Roelof, C. Durán, Michael J. Campion, et al.. (2024). Reticle thermal properties impact on overlay at 500W and beyond. 45–45. 1 indexed citations
8.
Fujima, Noriyuki, Junichi Nakagawa, Hiroyuki Kameda, et al.. (2023). Improvement of image quality in diffusion-weighted imaging with model-based deep learning reconstruction for evaluations of the head and neck. Magnetic Resonance Materials in Physics Biology and Medicine. 37(3). 439–447. 10 indexed citations
9.
Yamamoto, Saki, Yutaro Kitagawa, Satoshi Tanikawa, et al.. (2023). Fatal case of subdural empyema caused by Campylobacter rectus and Slackia exigua. Autopsy and Case Reports. 13. e2023433–e2023433. 2 indexed citations
10.
Ikebe, Yohei, Masaaki Matsushima, Ichiro Yabe, et al.. (2023). Prediction of amyloid positron emission tomography positivity using multiple regression analysis of quantitative susceptibility mapping. Magnetic Resonance Imaging. 103. 192–197. 1 indexed citations
11.
Nakagawa, Junichi, Noriyuki Fujima, Kenji Hirata, et al.. (2022). Utility of the deep learning technique for the diagnosis of orbital invasion on CT in patients with a nasal or sinonasal tumor. Cancer Imaging. 22(1). 52–52. 14 indexed citations
12.
Ishimaru, Hideki, Yohei Ikebe, Minoru Morikawa, et al.. (2022). Significance of Low Signal in Intracranial Vertebral Artery Wall Observed on Susceptibility-Weighted Angiography. Cerebrovascular Diseases. 52(1). 89–96. 2 indexed citations
13.
Harada, Taisuke, et al.. (2022). Quantitative Susceptibility Mapping: Basic Methods and Clinical Applications. Radiographics. 42(4). 1161–1176. 48 indexed citations
14.
Ikebe, Yohei, et al.. (2021). FDG-PET vs. chemical shift MR imaging in differentiating intertrabecular metastasis from hematopoietic bone marrow hyperplasia. Japanese Journal of Radiology. 39(11). 1077–1085. 6 indexed citations
15.
Lare, Claire van, et al.. (2021). Investigation into a prototype extreme ultraviolet low-n attenuated phase-shift mask. Journal of Micro/Nanopatterning Materials and Metrology. 20(2). 14 indexed citations
16.
Finders, Jo, Frank Timmermans, Jara G. Santaclara, et al.. (2019). Experimental investigation of a high-k reticle absorber system for EUV lithography. 94220X. 37–37. 9 indexed citations
17.
Ishimaru, Hideki, Minoru Morikawa, Ichiro Sakamoto, et al.. (2018). Cerebral lipiodol embolism related to a vascular lake during chemoembolization in hepatocellular carcinoma: A case report and review of the literature. World Journal of Gastroenterology. 24(37). 4291–4296. 5 indexed citations
18.
Shimano, Ryo, Yohei Ikebe, Kei Takahashi, et al.. (2011). Terahertz Faraday rotation induced by an anomalous Hall effect in the itinerant ferromagnet SrRuO 3. Europhysics Letters (EPL). 95(1). 17002–17002. 40 indexed citations
19.
Ikebe, Yohei, Takahiro Morimoto, Ryuichi Masutomi, et al.. (2010). Optical Hall Effect in the Integer Quantum Hall Regime. Physical Review Letters. 104(25). 256802–256802. 76 indexed citations
20.
Kida, N., Yuichi Yamasaki, He Jiang, et al.. (2009). Electrically driven spin excitation at THz frequencies inbcandabspiral spin phases of perovskite manganites. Journal of Physics Conference Series. 148. 12038–12038. 2 indexed citations

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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