Toshitaka Hayashi

486 total citations
13 papers, 335 citations indexed

About

Toshitaka Hayashi is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Toshitaka Hayashi has authored 13 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Toshitaka Hayashi's work include Anomaly Detection Techniques and Applications (9 papers), Time Series Analysis and Forecasting (4 papers) and Non-Invasive Vital Sign Monitoring (3 papers). Toshitaka Hayashi is often cited by papers focused on Anomaly Detection Techniques and Applications (9 papers), Time Series Analysis and Forecasting (4 papers) and Non-Invasive Vital Sign Monitoring (3 papers). Toshitaka Hayashi collaborates with scholars based in Japan, Czechia and Spain. Toshitaka Hayashi's co-authors include Hamido Fujita, Andres Hernandez-Matamoros, Héctor Pérez-Meana, Richard Cimler, Dalibor Cimr, Ali Selamat and Hanan Aljuaid and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Applied Soft Computing.

In The Last Decade

Toshitaka Hayashi

12 papers receiving 332 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Toshitaka Hayashi Japan 8 164 70 58 52 51 13 335
Andres Hernandez-Matamoros Japan 6 111 0.7× 71 1.0× 65 1.1× 33 0.6× 47 0.9× 12 363
Gitanjali R. Shinde India 8 138 0.8× 97 1.4× 23 0.4× 34 0.7× 18 0.4× 51 383
Reza Paki Iran 6 146 0.9× 71 1.0× 18 0.3× 53 1.0× 85 1.7× 7 396
Sofia Pillai India 9 196 1.2× 55 0.8× 41 0.7× 134 2.6× 13 0.3× 16 642
Aminou Halidou Cameroon 5 94 0.6× 86 1.2× 55 0.9× 13 0.3× 10 0.2× 8 331
Sourabh Shastri India 8 175 1.1× 113 1.6× 31 0.5× 17 0.3× 36 0.7× 19 366
A.M. Aleesa Malaysia 7 178 1.1× 15 0.2× 29 0.5× 51 1.0× 54 1.1× 11 450
Amal I. Saba Egypt 8 169 1.0× 150 2.1× 43 0.7× 8 0.2× 30 0.6× 8 474
Mohammed Alkhathami Saudi Arabia 13 114 0.7× 20 0.3× 63 1.1× 60 1.2× 5 0.1× 52 392
Alok Ranjan Tripathy India 7 71 0.4× 54 0.8× 46 0.8× 11 0.2× 11 0.2× 30 251

Countries citing papers authored by Toshitaka Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Toshitaka Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshitaka Hayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Toshitaka Hayashi. A scholar is included among the top collaborators of Toshitaka 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 Toshitaka Hayashi. Toshitaka Hayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Hayashi, Toshitaka, Dalibor Cimr, Hamido Fujita, Richard Cimler, & Hanan Aljuaid. (2025). The fusion of hyperparameter candidates for one-class classification problems. Information Sciences. 720. 122526–122526.
2.
Hayashi, Toshitaka, Dalibor Cimr, Hamido Fujita, & Richard Cimler. (2024). Interpretable synthetic signals for explainable one-class time-series classification. Engineering Applications of Artificial Intelligence. 131. 107716–107716. 7 indexed citations
3.
Hayashi, Toshitaka, et al.. (2023). Distance-based one-class time-series classification approach using local cluster balance. Expert Systems with Applications. 235. 121201–121201. 14 indexed citations
4.
Cimr, Dalibor, et al.. (2023). Classification of health deterioration by geometric invariants. Computer Methods and Programs in Biomedicine. 239. 107623–107623. 6 indexed citations
5.
Hayashi, Toshitaka, et al.. (2023). Patient deterioration detection using one-class classification via cluster period estimation subtask. Information Sciences. 657. 119975–119975. 4 indexed citations
6.
Hayashi, Toshitaka, Dalibor Cimr, Hamido Fujita, & Richard Cimler. (2023). Image entropy equalization: A novel preprocessing technique for image recognition tasks. Information Sciences. 647. 119539–119539. 12 indexed citations
7.
Hayashi, Toshitaka & Hamido Fujita. (2022). OCFSP: self-supervised one-class classification approach using feature-slide prediction subtask for feature data. Soft Computing. 26(19). 10127–10149. 3 indexed citations
8.
Hayashi, Toshitaka, et al.. (2022). OCSTN: One-class time-series classification approach using a signal transformation network into a goal signal. Information Sciences. 614. 71–86. 9 indexed citations
9.
Hayashi, Toshitaka & Hamido Fujita. (2021). One-class ensemble classifier for data imbalance problems. Applied Intelligence. 52(15). 17073–17089. 32 indexed citations
10.
Hayashi, Toshitaka, Hamido Fujita, & Andres Hernandez-Matamoros. (2021). Less complexity one-class classification approach using construction error of convolutional image transformation network. Information Sciences. 560. 217–234. 43 indexed citations
11.
Hayashi, Toshitaka & Hamido Fujita. (2020). Cluster-based zero-shot learning for multivariate data. Journal of Ambient Intelligence and Humanized Computing. 12(2). 1897–1911. 27 indexed citations
12.
Hernandez-Matamoros, Andres, Hamido Fujita, Toshitaka Hayashi, & Héctor Pérez-Meana. (2020). Forecasting of COVID19 per regions using ARIMA models and polynomial functions. Applied Soft Computing. 96. 106610–106610. 161 indexed citations
13.
Hayashi, Toshitaka & Hamido Fujita. (2019). Word Embeddings-based Sentence-Level Sentiment Analysis considering Word Importance. Acta Polytechnica Hungarica. 16(7). 7–24. 17 indexed citations

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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