Hiroshi Ninomiya

59 papers receiving 256 citations

Peers

Hiroshi Ninomiya
Comparison fields: 5 of 48
  • Artificial Intelligence 114
  • Signal Processing 77
  • Computer Vision and Pattern Recognition 68
  • Electrical and Electronic Engineering 67
  • Computational Mechanics 60
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Citations per field
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Citations per year

Countries citing papers authored by Hiroshi Ninomiya

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Ninomiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Ninomiya

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Ninomiya. A scholar is included among the top collaborators of Hiroshi Ninomiya 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 Hiroshi Ninomiya. Hiroshi Ninomiya 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
1 4
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6
Microwave Neural Network Models Using Improved Online Quasi-Newton Training Algorithm
1
7
Study on Robust Training of Neural Networks using Gradient-based Algorithm with Improved Feeding-technique of Training Data
2
8
Invited Paper Three-Dimensional Module Packing Using 3DBSG Structure
2
9
Design Method of Neural Networks for Limit Cycle Generator by Linear Programming
2
10
A Fast Algorithm for Spatiotemporal Pattern Analysis of Neural Networks with Multivalued Logic (Special Section on Nonlinear Theory and Its Applications)
2
11
A Neuro-Based Optimization Algorithm for Three Dimensional Cylindric Puzzles
2
12
Neural Network Simulator for Spatiotemporal Pattern Analysis Based on ASSIST2
0
13
A Neuro-Based Optimization Algorithm for Rectangular Puzzles
2
14
Neuro-Based Optimization Algorithm for Cubic Puzzles
1
15
Neuro-Based Optimization Algorithm for Three Dimensional Puzzles
0
16
Discrete Walsh Transform by Linear Programming Neural Net
2
17
A Neural Net Approach to Discrete Walsh Transform (Special Section of Letters Selected from the 1994 IEICE Spring Conference)
5
18
Neuro-Based Optimization for Tiling Problem
4
19
Neural Networks for Digital Sequential Circuits
3
20
Design and Simulation of Neural Network Digital Sequential Circuits
8

About Hiroshi Ninomiya

Hiroshi Ninomiya is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 275 indexed citations. Recurring topics across this work include Neural Networks and Applications (28 papers), Model Reduction and Neural Networks (10 papers) and Advanced Adaptive Filtering Techniques (9 papers). The work is most often cited by research in Signal Processing (77 citations), Artificial Intelligence (114 citations) and Computer Vision and Pattern Recognition (68 citations). Hiroshi Ninomiya has collaborated with scholars based in Japan, Canada and Australia. Frequent co-authors include Hideki Asai, Norihide Kitaoka, Satoshi Tamura, Kazuya Takeda, Keiji Onishi, Satoru Hayamizu, Qi‐Jun Zhang, Akinori Sasaki, Humayun Kabir and Xin Zhang. Their work appears in journals such as Algorithms, IEICE Transactions on Information and Systems and IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences.

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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