Yoichi Hayashi

9.5k citations
267 papers · 6.2k indexed · 2 hit papers · h-index 36
Topics
Fuzzy Logic and Control Systems (62 papers)Neural Networks and Applications (51 papers)Fuzzy Systems and Optimization (24 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism

In The Last Decade

Yoichi Hayashi

250 papers receiving 5.7k citations

Hit Papers

Clinical outcomes of double-balloon endoscopy for the dia...200420262011201820042024100200300400

Peers

Yoichi Hayashi
Comparison fields: 5 of 207
  • Artificial Intelligence 2.0k
  • Surgery 634
  • Molecular Biology 603
  • Control and Systems Engineering 557
  • Management Science and Operations Research 489
Replace Richard W. Weber with:
Richard W. Weber United States
Fang Liu China
Riccardo Bellazzi Italy
Massimo Buscema Italy
Igor Kononenko Slovenia
Nan Liu China
Xiaoqian Jiang United States
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Yoichi Hayashi relative to Richard W. Weber United States Richard W. Weber's profile →
Citations per field
00.5×2.6×
Richard W. Weber · 1×
Citations per year

Countries citing papers authored by Yoichi Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Yoichi Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoichi Hayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Yoichi Hayashi. A scholar is included among the top collaborators of Yoichi Hayashi 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 Yoichi Hayashi. Yoichi Hayashi 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 2
2 0
3 12
4 9
5 17
6 5
7 17
8
Consideration of current ripples inherent in a pulse width modulated voltage source inverter
2
9 21
10 27
11 5
12 1
13 5
14 21
15 3
16 5
17 3
18
A NEURAL EXPERT SYSTEM WITH AUTOMATED EXTRACTION OF FUZZY IF-THEN RULES
15
19 18
20 1

About Yoichi Hayashi

Yoichi Hayashi is a scholar working on Artificial Intelligence, Health Informatics and Statistics and Probability, having authored 267 papers that have together received 6.2k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (62 papers), Neural Networks and Applications (51 papers) and Fuzzy Systems and Optimization (24 papers). The work is most often cited by research in Gastroenterology (440 citations), Artificial Intelligence (2.0k citations) and Statistics and Probability (452 citations). Yoichi Hayashi has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include James J. Buckley, Sushmita Mitra, A Maekawa, Masashi Takahashi, Thomas Feuring, E. Czogała, Rudy Setiono, Yuji Kurokawa, Guido Bologna and H. Onodera. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

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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