Shota Nakashima

1.4k citations
124 papers · 932 indexed · h-index 17
Topics
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (21 papers)Piezoelectric Actuators and Control (17 papers)Iterative Learning Control Systems (15 papers)
Journals
SHILAP Revista de lepidopterologíaEnergy & Environmental ScienceScientific Reports
Partner nations
JapanChinaUnited States

In The Last Decade

Shota Nakashima

103 papers receiving 909 citations

Peers

Shota Nakashima
Comparison fields: 5 of 124
  • Pulmonary and Respiratory Medicine 288
  • Electrical and Electronic Engineering 211
  • Computer Vision and Pattern Recognition 141
  • Epidemiology 101
  • Electronic, Optical and Magnetic Materials 99
Replace Alfred C. H. Yu with:
Alfred C. H. Yu Canada
Zhigang Wang China
Michel Coret France
Stefano Laureti Italy
H Kim South Korea
Jae‐Ho Shin South Korea
Ko Yamamoto Japan
Deukhee Lee South Korea
Hyun‐Chang Kim South Korea
Yu Zhu China
Shota Nakashima relative to Alfred C. H. Yu Canada Alfred C. H. Yu's profile →
Citations per field
00.5×8.3×
Alfred C. H. Yu · 1×
Citations per year

Countries citing papers authored by Shota Nakashima

Since Specialization
Citations

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

Fields of papers citing papers by Shota Nakashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shota Nakashima

This figure shows the co-authorship network connecting the top 25 collaborators of Shota Nakashima. A scholar is included among the top collaborators of Shota Nakashima 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 Shota Nakashima. Shota Nakashima 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
#WorkIndexed citations
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UNDERWATER LASER IMAGES DENOISING USING BAYESIAN CONTOURLET ESTIMATOR OF BESSEL K FORM
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About Shota Nakashima

Shota Nakashima is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Control and Systems Engineering, having authored 124 papers that have together received 932 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (21 papers), Piezoelectric Actuators and Control (17 papers) and Iterative Learning Control Systems (15 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (288 citations), Computer Vision and Pattern Recognition (141 citations) and Media Technology (52 citations). Shota Nakashima has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Seiichi Serikawa, Yuji Ishimatsu, Noriho Sakamoto, Hiroshi Mukae, Tomoyuki Kakugawa, Shigeru Kohno, Kanya Tanaka, Huimin Lu, Shintaro Hara and Yujie Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Energy & Environmental Science and Scientific Reports.

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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