Shuichi Kawano

3.3k total citations
77 papers, 860 citations indexed

About

Shuichi Kawano is a scholar working on Statistics and Probability, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Shuichi Kawano has authored 77 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics and Probability, 12 papers in Artificial Intelligence and 11 papers in Infectious Diseases. Recurrent topics in Shuichi Kawano's work include Statistical Methods and Inference (16 papers), Advanced Statistical Methods and Models (10 papers) and Metal and Thin Film Mechanics (7 papers). Shuichi Kawano is often cited by papers focused on Statistical Methods and Inference (16 papers), Advanced Statistical Methods and Models (10 papers) and Metal and Thin Film Mechanics (7 papers). Shuichi Kawano collaborates with scholars based in Japan, United States and Netherlands. Shuichi Kawano's co-authors include Shiro Shimada, Junichi Takahashi, Sadanori Konishi, Hidetoshi Matsui, Hirofumi Obinata, Kazuo Imai, Toshimitsu Ito, Kaku Tamura, Satoshi Mimura and Tatsuya Kodama and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Shuichi Kawano

68 papers receiving 843 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuichi Kawano Japan 16 209 112 111 96 91 77 860
Chih‐Chin Shih Taiwan 17 17 0.1× 93 0.8× 150 1.4× 76 0.8× 212 2.3× 69 974
Jianye Wang China 26 106 0.5× 365 3.3× 4 0.0× 315 3.3× 56 0.6× 226 2.4k
Jiawen Zhu China 22 59 0.3× 308 2.8× 2 0.0× 68 0.7× 78 0.9× 90 1.5k
Yingzhi Liu China 14 844 4.0× 367 3.3× 54 0.5× 98 1.0× 53 0.6× 34 1.4k
Rongchang Chen China 25 127 0.6× 172 1.5× 9 0.1× 306 3.2× 18 0.2× 143 2.0k
Fenglin Wang China 14 149 0.7× 154 1.4× 5 0.0× 105 1.1× 130 1.4× 60 868
Kazuhiro Ozawa Japan 21 193 0.9× 369 3.3× 3 0.0× 108 1.1× 19 0.2× 97 1.9k
Chi‐Hung Huang Taiwan 17 21 0.1× 267 2.4× 45 0.4× 57 0.6× 60 0.7× 71 1.2k
Norio Yamashita Japan 15 44 0.2× 91 0.8× 3 0.0× 302 3.1× 99 1.1× 69 945

Countries citing papers authored by Shuichi Kawano

Since Specialization
Citations

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

Fields of papers citing papers by Shuichi Kawano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuichi Kawano

This figure shows the co-authorship network connecting the top 25 collaborators of Shuichi Kawano. A scholar is included among the top collaborators of Shuichi Kawano 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 Shuichi Kawano. Shuichi Kawano 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.
Kawano, Shuichi, Toshikazu Fukushima, Junichi Nakagawa, & Mamoru Oshiki. (2025). Multivariate regression modeling in integrative analysis via sparse regularization. Japanese Journal of Statistics and Data Science.
2.
Kawano, Shuichi, et al.. (2024). Multi-task learning via robust regularized clustering with non-convex group penalties. Statistics and Computing. 35(1).
3.
Oshiki, Mamoru, et al.. (2024). Thermophilic dark fermentation for hydrogen and volatile fatty acids production from breadcrumbs. Chemical Engineering Journal. 501. 157633–157633.
4.
Kawano, Shuichi, et al.. (2023). Bayesian fused lasso modeling via horseshoe prior. Japanese Journal of Statistics and Data Science. 6(2). 705–727. 2 indexed citations
5.
Takahashi, Hideki, Shuhei Miyashita, Sugihiro Ando, et al.. (2022). Cucumber Mosaic Virus Infection in Arabidopsis: A Conditional Mutualistic Symbiont?. Frontiers in Microbiology. 12. 770925–770925. 4 indexed citations
6.
Kawano, Shuichi, et al.. (2021). Bayesian sparse convex clustering via global-local shrinkage priors. Computational Statistics. 36(4). 2671–2699. 1 indexed citations
7.
Hirose, Kei, et al.. (2021). Bayesian Information Criterion and Selection of the Number of Factors in Factor Analysis Models. Journal of Data Science. 9(2). 243–259. 1 indexed citations
8.
Noma, Seiji, et al.. (2020). Application of Pressurized Carbon Dioxide during Salt-Reduced Sardine Fish Sauce Production. Food Science and Technology Research. 26(2). 195–204. 15 indexed citations
9.
Kato, Akihisa, Shungo Adachi, Shuichi Kawano, et al.. (2020). Identification of a herpes simplex virus 1 gene encoding neurovirulence factor by chemical proteomics. Nature Communications. 11(1). 4894–4894. 16 indexed citations
10.
Tabata, Sakiko, Kazuo Imai, Shuichi Kawano, et al.. (2020). Non-Severe vs Severe Symptomatic COVID-19: 104 Cases from the Outbreak on the Cruise Ship 'Diamond Princess' in Japan. SSRN Electronic Journal. 11 indexed citations
11.
Oshiki, Mamoru, Toshikazu Fukushima, Shuichi Kawano, Yasuhiro Kasahara, & Junichi Nakagawa. (2019). Thiocyanate Degradation by a Highly Enriched Culture of the Neutrophilic Halophile <i>Thiohalobacter sp</i>. Strain FOKN1 from Activated Sludge and Genomic Insights into Thiocyanate Metabolism. Microbes and Environments. 34(4). 402–412. 16 indexed citations
12.
El‐Far, Ali H., Seiichi Munesue, Ai Harashima, et al.. (2018). In�vitro anticancer effects of a RAGE inhibitor discovered using a structure-based drug design system. Oncology Letters. 15(4). 4627–4634. 28 indexed citations
13.
Oshiki, Mamoru, Toshikazu Fukushima, Shuichi Kawano, & Junichi Nakagawa. (2017). Draft Genome Sequence of Thiohalobacter thiocyanaticus Strain FOKN1, a Neutrophilic Halophile Capable of Thiocyanate Degradation. Genome Announcements. 5(32). 7 indexed citations
14.
Komiya, Kosaku, et al.. (2017). Tiotropium inhibits mucin production stimulated by neutrophil elastase but not by IL-13. Pulmonary Pharmacology & Therapeutics. 48. 161–167. 11 indexed citations
15.
Ota, Shinichiro, Yu Hara, Soichiro Kanoh, et al.. (2016). Acute eosinophilic pneumonia caused by camostat mesilate: The first case report. Respiratory Medicine Case Reports. 19. 21–23. 14 indexed citations
16.
Yamasaki, Yasuhiro, et al.. (2016). A metabolic profile in Ruditapes philippinarum associated with growth-promoting effects of alginate hydrolysates. Scientific Reports. 6(1). 29923–29923. 11 indexed citations
17.
Kawano, Shuichi, Takuya Maeda, Junichi Watanabe, et al.. (2014). Successful diagnosis of tuberculous lymphadenitis by loop-mediated isothermal amplification of cutaneous samples from an ulcerated surface lesion: a case report. Journal of Medical Case Reports. 8(1). 254–254. 7 indexed citations
18.
Kawano, Shuichi, et al.. (2012). PREDICTIVE INFORMATION CRITERIA FOR BAYESIAN NONLINEAR REGRESSION MODELS. Kyushu University Institutional Repository (QIR) (Kyushu University). 44. 17–28. 1 indexed citations
19.
Hirose, Kei, et al.. (2008). Bayesian Factor Analysis and Model Selection. Kyushu University Institutional Repository (QIR) (Kyushu University). 2 indexed citations
20.
Kawano, Shuichi, et al.. (2003). Development of Interactive Circuits and Systems Seminar (iCASS). 102(715). 33–36.

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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