Yuka Maeda

1.6k total citations · 1 hit paper
34 papers, 1.1k citations indexed

About

Yuka Maeda is a scholar working on Biomedical Engineering, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yuka Maeda has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 7 papers in Surgery and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yuka Maeda's work include Non-Invasive Vital Sign Monitoring (11 papers), Hemodynamic Monitoring and Therapy (7 papers) and Heart Rate Variability and Autonomic Control (7 papers). Yuka Maeda is often cited by papers focused on Non-Invasive Vital Sign Monitoring (11 papers), Hemodynamic Monitoring and Therapy (7 papers) and Heart Rate Variability and Autonomic Control (7 papers). Yuka Maeda collaborates with scholars based in Japan, Belgium and Slovakia. Yuka Maeda's co-authors include T. Tamura, Masaki Sekine, Masaki Yoshida, Koichi Mizutani, Naoto Wakatsuki, Hiroshi Nabetani, Yasumasa Ando, Shoji Hagiwara, Takuji Suzuki and Tadashi Ebihara and has published in prestigious journals such as The Journal of the Acoustical Society of America, IEEE Access and Sensors.

In The Last Decade

Yuka Maeda

22 papers receiving 1.1k citations

Hit Papers

Wearable Photoplethysmographic Sensors—Past and Present 2014 2026 2018 2022 2014 200 400 600

Peers

Yuka Maeda
Yuka Maeda
Citations per year, relative to Yuka Maeda Yuka Maeda (= 1×) peers Kang-Ming Chang

Countries citing papers authored by Yuka Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Yuka Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuka Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Yuka Maeda. A scholar is included among the top collaborators of Yuka Maeda 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 Yuka Maeda. Yuka Maeda 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
2.
Takagi, S., Tatsuya Harada, Yuka Oono, et al.. (2024). Analysis of respiratory properties using the low-frequency piezoelectric sensor in patients undergoing intravenous sedation: a prospective observational study. Trends in Anaesthesia and Critical Care. 56. 101357–101357. 1 indexed citations
4.
Maeda, Yuka, Masaki Sekine, T. Tamura, & Koichi Mizutani. (2024). Green Light Photoplethysmography as a Substitute for Heart Rate Variability Monitoring. Advanced Biomedical Engineering. 13(0). 301–306.
7.
Hayashi, Kenta, et al.. (2023). Estimating Blood Pressure during Exercise with a Cuffless Sphygmomanometer. Sensors. 23(17). 7399–7399. 2 indexed citations
8.
Fujita, Yuki, Tadashi Ebihara, Naoto Wakatsuki, Yuka Maeda, & Koichi Mizutani. (2023). Acoustic probe for temperature measurement suitable for operation with audio interfaces having random input/output delays. The Journal of the Acoustical Society of America. 154(4_supplement). A285–A285.
11.
Aoki, Takuya, Koichi Mizutani, Naoto Wakatsuki, et al.. (2020). Frequency analysis of the sneeze caused by swine influenza virus strains: Automatic sneeze around-the-clock detection using a support vector machine. Computers and Electronics in Agriculture. 179. 105789–105789. 6 indexed citations
12.
Mizutani, Koichi, et al.. (2019). Method of estimating contact force of bone-conducted sound transducer with a two-degrees-of-freedom vibrating model. Japanese Journal of Applied Physics. 58(SG). SGGB13–SGGB13. 2 indexed citations
14.
Ando, Yasumasa, Yuka Maeda, Koichi Mizutani, et al.. (2016). Impact of blanching and freeze-thaw pretreatment on drying rate of carrot roots in relation to changes in cell membrane function and cell wall structure. LWT. 71. 40–46. 116 indexed citations
15.
Tamura, T., Yuka Maeda, Masaki Sekine, & Masaki Yoshida. (2014). Wearable Photoplethysmographic Sensors—Past and Present. Electronics. 3(2). 282–302. 629 indexed citations breakdown →
16.
Maeda, Yuka, Masaki Sekine, T. Tamura, & Koichi Mizutani. (2013). The Effect of Contact Pressure to the Photoplethysmographic Sensor During Walking. 51. 6 indexed citations
17.
Maeda, Yuka, et al.. (2011). Comparison of Measurement Sites and Light Sources in Photoplethysmography during Walking. 49(1). 132–138. 1 indexed citations
18.
Maeda, Yuka, Masaki Sekine, & T. Tamura. (2010). The Advantages of Wearable Green Reflected Photoplethysmography. Journal of Medical Systems. 35(5). 829–834. 151 indexed citations
19.
Maeda, Yuka, Masaki Sekine, & T. Tamura. (2010). Relationship Between Measurement Site and Motion Artifacts in Wearable Reflected Photoplethysmography. Journal of Medical Systems. 35(5). 969–976. 138 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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