Jun Kuroda

510 total citations
23 papers, 355 citations indexed

About

Jun Kuroda is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Signal Processing. According to data from OpenAlex, Jun Kuroda has authored 23 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 6 papers in Biomedical Engineering and 5 papers in Signal Processing. Recurrent topics in Jun Kuroda's work include Speech and Audio Processing (5 papers), Artificial Intelligence in Healthcare (4 papers) and Engineering Applied Research (4 papers). Jun Kuroda is often cited by papers focused on Speech and Audio Processing (5 papers), Artificial Intelligence in Healthcare (4 papers) and Engineering Applied Research (4 papers). Jun Kuroda collaborates with scholars based in Japan and United States. Jun Kuroda's co-authors include Masaki Makino, Atsushi Suzuki, Akira Koseki, Masaki Ono, Michiharu Kudo, Toshinari Itoko, Eiichi Saitoh, Kiyotaka Hoshinaga, Yukio Yuzawa and Ryo Yoshimoto and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes and Journal of The Electrochemical Society.

In The Last Decade

Jun Kuroda

21 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Kuroda Japan 6 78 75 70 52 44 23 355
Jingjing Chen China 10 52 0.7× 8 0.1× 22 0.3× 18 0.3× 10 0.2× 41 363
Xian Jin China 8 10 0.1× 32 0.4× 29 0.4× 29 0.6× 13 0.3× 13 328
So Yeon Choi South Korea 12 19 0.2× 8 0.1× 14 0.2× 18 0.3× 33 0.8× 53 511
Antonio Vilasi Italy 9 290 3.7× 56 0.7× 46 0.7× 127 2.4× 60 1.4× 25 623
Vaibhav Shukla India 10 65 0.8× 38 0.5× 34 0.5× 7 0.1× 11 0.3× 47 319
Octavian Andronic Romania 11 5 0.1× 23 0.3× 24 0.3× 79 1.5× 10 0.2× 67 544
Lei Song China 15 10 0.1× 8 0.1× 38 0.5× 54 1.0× 10 0.2× 55 540
Chun-Ying Huang Taiwan 14 18 0.2× 11 0.1× 23 0.3× 9 0.2× 6 0.1× 42 469
Jianrong Wu China 15 37 0.5× 5 0.1× 43 0.6× 41 0.8× 4 0.1× 34 638
R. Ben Salah Tunisia 11 34 0.4× 11 0.1× 12 0.2× 94 1.8× 3 0.1× 43 318

Countries citing papers authored by Jun Kuroda

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kuroda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Kuroda

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Kuroda. A scholar is included among the top collaborators of Jun Kuroda 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 Jun Kuroda. Jun Kuroda 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.
Kuroda, Jun, et al.. (2025). Modal Analysis of Structures Using a Millimeter-Wave Sensor. IEEE Sensors Letters. 9(6). 1–4.
2.
3.
Tago, Tomoya, Shuji Suzuki, Jun Kuroda, et al.. (2020). Leiomyosarcoma of the transverse colon with lymph node metastasis and malignant transformation: a case report. SHILAP Revista de lepidopterología. 6(1). 256–256. 6 indexed citations
4.
Kuroda, Jun & Yasuhiro Oikawa. (2020). Parametric speaker consisting of small number of transducers with sonic crystal waveguide. Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi. 41(6). 865–876. 4 indexed citations
5.
Makino, Masaki, Ryo Yoshimoto, Masaki Ono, et al.. (2019). Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning. Scientific Reports. 9(1). 11862–11862. 142 indexed citations
6.
Suzuki, Shuji, Mitsugi Shimoda, Jiro Shimazaki, et al.. (2019). <p>Number of positive lymph nodes and lymphatic invasion are significant prognostic factors after pancreaticoduodenectomy for distal cholangiocarcinoma</p>. Clinical and Experimental Gastroenterology. Volume 12. 255–262. 12 indexed citations
7.
Ono, Masaki, Akira Koseki, Michiharu Kudo, et al.. (2018). Feature Extraction from Electronic Health Records of Diabetic Nephropathy Patients with Convolutioinal Autoencoder.. National Conference on Artificial Intelligence. 451–454. 2 indexed citations
8.
Kuroda, Jun, et al.. (2018). Individual Difference of Ultrasonic Transducers for Parametric Array Loudspeaker. 73. 486–490. 2 indexed citations
9.
Makino, Masaki, Masaki Ono, Toshinari Itoko, et al.. (2018). Artificial Intelligence Predicts Progress of Diabetic Kidney Disease-Novel Prediction Model Construction with Big Data Machine Learning. Diabetes. 67(Supplement_1). 5 indexed citations
10.
Ono, Masaki, Akira Koseki, Michiharu Kudo, et al.. (2018). Risk Prediction of Diabetic Nephropathy via Interpretable Feature Extraction from EHR Using Convolutional Autoencoder. Studies in health technology and informatics. 247. 106–110. 13 indexed citations
11.
Kuroda, Jun. (2016). Study to fabricate high-quality and portable parametric speakers. Proceedings of meetings on acoustics. 30009–30009. 3 indexed citations
12.
Kuroda, Jun, et al.. (2015). Design of an ultrasonic piezoelectric transducer having double-linked diaphragms for parametric speakers. Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi. 36(5). 385–396. 4 indexed citations
13.
Kuroda, Jun, et al.. (2013). Design of resonant frequencies for piezoelectric actuator with integrated components. Proceedings of meetings on acoustics. 30066–30066. 2 indexed citations
14.
Kuroda, Jun, et al.. (2013). Design of resonant frequencies of the piezoelectric actuator with integrated components. The Journal of the Acoustical Society of America. 133(5_Supplement). 3412–3412. 1 indexed citations
15.
Tateishi, Hikaru, Kazuto Hatakeyama, Chikako Ogata, et al.. (2013). Graphene Oxide Fuel Cell. Journal of The Electrochemical Society. 160(11). F1175–F1178. 82 indexed citations
16.
Kuroda, Jun, et al.. (2010). The acoustical design of mobile phones. 1250–1257. 1 indexed citations
17.
Kuroda, Jun, et al.. (2006). Improvement of Systemic Sclerosis Complicated with Interstitial Lung Disease by Intravenous Pulse Therapy with Cyclophosphamide. The Nishinihon Journal of Dermatology. 68(3). 256–259. 1 indexed citations
18.
Kuroda, Jun, Toshio Fukai, & Taro Nomura. (2001). Collision‐induced dissociation of ring‐opened cyclic depsipeptides with a guanidino group by electrospray ionization/ion trap mass spectrometry. Journal of Mass Spectrometry. 36(1). 30–37. 1 indexed citations
19.
Shi, Yaqin, Toshio Fukai, Hiroshi Sakagami, et al.. (2001). Cytotoxic and DNA damage-inducing activities of low molecular weight phenols from rhubarb.. PubMed. 21(4A). 2847–53. 63 indexed citations
20.
Kuroda, Jun, et al.. (1998). Optimization of SiON Film Compositions for Encapsulation of Refractory Metal Gate GaAs Metal‐Semiconductor Field Effect Transistor. Journal of The Electrochemical Society. 145(1). 323–328. 3 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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