D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 32 Citations 6,986 334 World Ranking 4593 National Ranking 84

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

Shin'ichi Satoh spends much of his time researching Artificial intelligence, Fasudil, Pattern recognition, Information retrieval and Feature extraction. His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning and Computer vision. His Computer vision research incorporates elements of Search engine indexing and Pattern recognition.

He has researched Fasudil in several fields, including Anesthesia, Cerebral infarction and Pharmacology. He has included themes like Visual Word and Search engine in his Pattern recognition study. His Feature extraction research integrates issues from Visualization, Discriminative model and Robustness.

His most cited work include:

  • The SR-tree: an index structure for high-dimensional nearest neighbor queries (842 citations)
  • Name-It: naming and detecting faces in news videos (273 citations)
  • Video OCR: indexing digital new libraries by recognition of superimposed captions (186 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Computer vision, Information retrieval and Multimedia. His work on Feature extraction, Image retrieval and Object detection as part of general Artificial intelligence study is frequently linked to TRECVID, therefore connecting diverse disciplines of science. In his articles, Shin'ichi Satoh combines various disciplines, including TRECVID and Data mining.

His studies in Pattern recognition integrate themes in fields like Contextual image classification and Visual Word. His work in Video tracking, Face detection, Segmentation, Histogram and Feature are all subfields of Computer vision research. Particularly relevant to Search engine indexing is his body of work in Information retrieval.

He most often published in these fields:

  • Artificial intelligence (50.77%)
  • Pattern recognition (25.49%)
  • Computer vision (21.10%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (50.77%)
  • Pattern recognition (25.49%)
  • Machine learning (9.23%)

In recent papers he was focusing on the following fields of study:

Shin'ichi Satoh mainly investigates Artificial intelligence, Pattern recognition, Machine learning, Information retrieval and Image retrieval. His Artificial intelligence study frequently draws connections between adjacent fields such as Computer vision. His Pattern recognition research focuses on Minimum bounding box and how it connects with Real image and Medical imaging.

His biological study focuses on Search engine indexing. His Image retrieval research includes elements of Data mining and Fisher vector. In his work, Pairwise comparison is strongly intertwined with Ranking, which is a subfield of Data mining.

Between 2015 and 2021, his most popular works were:

  • Embedding Watermarks into Deep Neural Networks (111 citations)
  • Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge (89 citations)
  • Faster R-CNN Features for Instance Search (59 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Computer vision

Shin'ichi Satoh spends much of his time researching Artificial intelligence, Pattern recognition, Convolutional neural network, Embedding and Feature extraction. His research in Artificial intelligence intersects with topics in Machine learning and Computer vision. Shin'ichi Satoh combines subjects such as Face, Generative model and Metric with his study of Pattern recognition.

His Convolutional neural network research is multidisciplinary, incorporating elements of Object, Minimum bounding box, Real image and Medical imaging. The study incorporates disciplines such as Classifier and Digital watermarking in addition to Embedding. In Feature extraction, Shin'ichi Satoh works on issues like Visualization, which are connected to Semantics and Information retrieval.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

The SR-tree: an index structure for high-dimensional nearest neighbor queries

Norio Katayama;Shin'ichi Satoh.
international conference on management of data (1997)

1500 Citations

Name-It: naming and detecting faces in news videos

S. Satoh;Y. Nakamura;T. Kanade.
IEEE MultiMedia (1999)

430 Citations

Video OCR: indexing digital new libraries by recognition of superimposed captions

Toshio Sato;Takeo Kanade;Ellen K. Hughes;Michael A. Smith.
Multimedia Systems (1999)

300 Citations

Endothelin and the production of cerebral vasospasm in dogs

Toshio Asano;Ichiro Ikegaki;Yoshio Suzuki;Shin-ichi Satoh.
Biochemical and Biophysical Research Communications (1989)

272 Citations

Name-It: association of face and name in video

S. Satoh;T. Kanade.
computer vision and pattern recognition (1997)

198 Citations

Embedding Watermarks into Deep Neural Networks

Yusuke Uchida;Yuki Nagai;Shigeyuki Sakazawa;Shin'ichi Satoh.
international conference on multimedia retrieval (2017)

193 Citations

Advances in Multimedia Information Processing - Pcm 2004

Kiyoharu Aizawa;Yuichi Nakamura;Shin’ichi Satoh.
(2008)

160 Citations

Prevalence of asymptomatic ST segment elevation in right precordial leads with right bundle branch block (Brugada-type ST shift) among the general Japanese population

M Furuhashi;K Uno;K Tsuchihashi;D Nagahara.
Heart (2001)

154 Citations

A postmarketing surveillance study of fasudil treatment after aneurysmal subarachnoid hemorrhage.

Yoshio Suzuki;Masato Shibuya;Shin-ichi Satoh;Yuka Sugimoto.
Surgical Neurology (2007)

145 Citations

Inhibition of neutrophil migration by a protein kinase inhibitor for the treatment of ischemic brain infarction.

Shin-ichi Satoh;Teruki Kobayashi;Asako Hitomi;Ichiro Ikegaki.
Japanese Journal of Pharmacology (1999)

140 Citations

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