Yoshihisa Ishida

1.0k total citations
105 papers, 703 citations indexed

About

Yoshihisa Ishida is a scholar working on Control and Systems Engineering, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Yoshihisa Ishida has authored 105 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Control and Systems Engineering, 26 papers in Artificial Intelligence and 24 papers in Signal Processing. Recurrent topics in Yoshihisa Ishida's work include Iterative Learning Control Systems (35 papers), Adaptive Control of Nonlinear Systems (28 papers) and Advanced Control Systems Design (23 papers). Yoshihisa Ishida is often cited by papers focused on Iterative Learning Control Systems (35 papers), Adaptive Control of Nonlinear Systems (28 papers) and Advanced Control Systems Design (23 papers). Yoshihisa Ishida collaborates with scholars based in Japan, Malaysia and Germany. Yoshihisa Ishida's co-authors include Y Sako, Takahiro Maruyama, Akira Uchida, Norimichi Nomura, Toshihiro Hoaki, Takahiro Murakami, Ryo Tanaka, Hiroyuki Kamata, Hiromitsu Ogawa and M. Ishida and has published in prestigious journals such as The Journal of the Acoustical Society of America, Signal Processing and International Journal of Engineering Science.

In The Last Decade

Yoshihisa Ishida

94 papers receiving 648 citations

Peers

Yoshihisa Ishida
Comparison fields: 5 of 97
  • Control and Systems Engineering 233
  • Molecular Biology 211
  • Mechanical Engineering 131
  • Biomedical Engineering 120
  • Artificial Intelligence 114
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Charles L. Phillips United States View profile →
Citations per field, relative to Yoshihisa Ishida
Yoshihisa Ishida · 1×
Citations per year, relative to Yoshihisa Ishida
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Countries citing papers authored by Yoshihisa Ishida

Since Specialization
Citations

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

Fields of papers citing papers by Yoshihisa Ishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoshihisa Ishida

This figure shows the co-authorship network connecting the top 25 collaborators of Yoshihisa Ishida. A scholar is included among the top collaborators of Yoshihisa Ishida 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 Yoshihisa Ishida. Yoshihisa Ishida 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
# Work Indexed citations
1 3
2 1
3 6
4 1
5 3
6
Private Communications with Chaos Based on the Fixed-Point Computation
0
7 5
8 3
9 4
10 7
11 4
12
Word Recognition by Neural Networks Using Adaptive Mel-Cepstral Analysis
1
13
Linear Phase IIR Hilbert Transformers Using Time Reversal Techniques (Special Section on Signal Processing and System Theory)
0
14 2
15 2
16 1
17 1
18 0
19
On the Development of a Car Use Rotary-Head Digital Audio Tape Recorder
0
20 1

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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