Hirofumi Nakajima

983 total citations
47 papers, 767 citations indexed

About

Hirofumi Nakajima is a scholar working on Signal Processing, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Hirofumi Nakajima has authored 47 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Signal Processing, 16 papers in Computational Mechanics and 7 papers in Biomedical Engineering. Recurrent topics in Hirofumi Nakajima's work include Speech and Audio Processing (27 papers), Advanced Adaptive Filtering Techniques (15 papers) and Blind Source Separation Techniques (11 papers). Hirofumi Nakajima is often cited by papers focused on Speech and Audio Processing (27 papers), Advanced Adaptive Filtering Techniques (15 papers) and Blind Source Separation Techniques (11 papers). Hirofumi Nakajima collaborates with scholars based in Japan, Cambodia and Germany. Hirofumi Nakajima's co-authors include Kazuhiro Nakadai, Yuji Hasegawa, Hiroshi Tsujino, Hiroshi G. Okuno, Tôru Takahashi, Gökhan İnce, Keisuke Nakamura, Yasushi Nakane, Hiroko Baba and Tatsuro Kumada and has published in prestigious journals such as The Journal of the Acoustical Society of America, Digestive Diseases and Sciences and Immunology.

In The Last Decade

Hirofumi Nakajima

43 papers receiving 716 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hirofumi Nakajima Japan 16 427 160 114 84 77 47 767
Jing Lü China 16 408 1.0× 326 2.0× 67 0.6× 66 0.8× 84 1.1× 124 809
Masato Miyoshi Japan 18 920 2.2× 612 3.8× 44 0.4× 245 2.9× 69 0.9× 91 1.6k
Takami Yoshida Japan 12 175 0.4× 54 0.3× 61 0.5× 24 0.3× 17 0.2× 37 534
Kenta Niwa Japan 11 360 0.8× 189 1.2× 31 0.3× 86 1.0× 29 0.4× 75 570
Yoichi Miyake Japan 19 59 0.1× 65 0.4× 39 0.3× 28 0.3× 31 0.4× 143 1.4k
Takeshi Mizumoto Japan 16 185 0.4× 39 0.2× 45 0.4× 32 0.4× 13 0.2× 47 586
Wonjun Kim South Korea 18 141 0.3× 33 0.2× 56 0.5× 75 0.9× 19 0.2× 83 1.3k
Won‐Ho Shin South Korea 12 34 0.1× 57 0.4× 58 0.5× 50 0.6× 87 1.1× 37 562
C.E. D’Attellis Argentina 12 101 0.2× 18 0.1× 50 0.4× 65 0.8× 33 0.4× 46 475
Anthony Griffin New Zealand 9 320 0.7× 152 0.9× 154 1.4× 34 0.4× 5 0.1× 30 505

Countries citing papers authored by Hirofumi Nakajima

Since Specialization
Citations

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

Fields of papers citing papers by Hirofumi Nakajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hirofumi Nakajima

This figure shows the co-authorship network connecting the top 25 collaborators of Hirofumi Nakajima. A scholar is included among the top collaborators of Hirofumi Nakajima 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 Hirofumi Nakajima. Hirofumi Nakajima 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.
Uchida, Haruhito A., Hidemi Takeuchi, Ryoko Umebayashi, et al.. (2022). The Association of Postprandial Triglyceride Variability with Renal Dysfunction and Microalbuminuria in Patients with Type 2 Diabetic Mellitus: A Retrospective and Observational Study. Journal of Diabetes Research. 2022. 1–12. 5 indexed citations
2.
Uchida, Haruhito A., Hirofumi Nakajima, Akihiko Nakamura, et al.. (2022). Efficacy and Safety of Esaxerenone in Hypertensive Patients with Diabetic Kidney Disease: A Multicenter, Open-Label, Prospective Study. Advances in Therapy. 39(11). 5158–5175. 19 indexed citations
3.
Nakajima, Hirofumi, et al.. (2021). Development of Additive Manufacturing Method by Slant Direct Drive Parallel Mechanism. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2021(0). 2A1–D07. 1 indexed citations
4.
Nakadai, Kazuhiro, et al.. (2021). Fully-Online Always-Adaptation of Transfer Functions and Its Application to Sound Source Localization and Separation. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2100–2105. 1 indexed citations
5.
Nakajima, Hirofumi, et al.. (2020). A Fourier series based Data compression model for Acoustic transfer function. 664–668. 1 indexed citations
6.
Nakajima, Hirofumi, et al.. (2015). Non-linear distortion reduction for a loudspeaker based on recursive source equalization. 32. 281–285. 3 indexed citations
7.
8.
İnce, Gökhan, Kazuhiro Nakadai, Tobias Rodemann, et al.. (2011). Incremental learning for ego noise estimation of a robot. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 131–136. 8 indexed citations
9.
Nakajima, Hirofumi, Kazuhiro Nakadai, Yuji Hasegawa, & Hiroshi Tsujino. (2010). Correlation matrix estimation by an optimally controlled recursive average method and its application to blind source separation. Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi. 31(3). 205–212. 6 indexed citations
10.
Nakadai, Kazuhiro, Hirofumi Nakajima, Gökhan İnce, & Yuji Hasegawa. (2010). Sound source separation and automatic speech recognition for moving sources. 130. 976–981. 5 indexed citations
11.
Nakajima, Hirofumi. (2009). . Journal of The Japan Institute of Electronics Packaging. 12(4). 273–278.
12.
Nakadai, Kazuhiro, et al.. (2008). A robot referee for rock-paper-scissors sound games. 3469–3474. 26 indexed citations
13.
Nakajima, Hirofumi, Kazuhiro Nakadai, Yuji Hasegawa, & Hiroshi Tsujino. (2008). Adaptive step-size parameter control for real-world blind source separation. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 149–152. 40 indexed citations
14.
Kitai, Ryuhei, Kazuhiko Yoshida, Toshihiko Kubota, et al.. (2005). Clival chordoma manifesting as nasal bleeding. A case report. Neuroradiology. 47(5). 368–371. 24 indexed citations
15.
Nakajima, Hirofumi, et al.. (2004). Minimum sidelobe beamforming based on Mini-Max criterion. Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi. 25(6). 486–488. 5 indexed citations
16.
Baba, Hiroko, Tatsuro Kumada, Hirofumi Nakajima, et al.. (2004). Cloning of a G‐protein‐coupled receptor that shows an activity to transform NIH3T3 cells and is expressed in gastric cancer cells. Cancer Science. 95(2). 131–135. 78 indexed citations
17.
18.
Diao, Hongyan, Masashi Kohanawa, Yimin, et al.. (2002). Lipopolysaccharide triggers invasive streptococcal disease in mice through a tumour necrosis factor‐α‐dependent mechanism. Immunology. 105(3). 344–349. 11 indexed citations
19.
Kuwabara, M., et al.. (1999). Suppression of Late Asthmatic Response by Low-Dose Oral Administration of Interferon-beta in the Guinea Pig Model of Asthma. Journal of Interferon & Cytokine Research. 19(8). 887–894. 22 indexed citations
20.
NIKKUNI, Sayuki, Hirofumi Nakajima, Masahiro Ohno, et al.. (1998). Evolutionary relationships among Aspergillus oryzae and related species based on the sequences of 18S rRNA genes and internal transcribed spacers.. The Journal of General and Applied Microbiology. 44(3). 225–230. 33 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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