Hiroaki Kawabata
- Nephrology top 5%
- Nutrition and Dietetics top 10%
- Pulmonary and Respiratory Medicine
- Molecular Biology
- Physiology
- Co-authors
- Yusuke SakaguchiYoshitaka IsakaHiromi RakugiYoshiharu TsubakiharaKoichi WatanabeK. TanigawaTatsuya ShojiKakuya Niihata
- Topics
- Neural Networks and Applications (18 papers)Image and Signal Denoising Methods (14 papers)Neural Networks Stability and Synchronization (10 papers)
In The Last Decade
Hiroaki Kawabata
54 papers receiving 627 citations
Peers
Comparison fields: 5 of 125
- Nephrology 135
- Nutrition and Dietetics 135
- Pulmonary and Respiratory Medicine 117
- Molecular Biology 115
- Physiology 91
Countries citing papers authored by Hiroaki Kawabata
This map shows the geographic impact of Hiroaki Kawabata'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 Hiroaki Kawabata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroaki Kawabata more than expected).
Fields of papers citing papers by Hiroaki Kawabata
This network shows the impact of papers produced by Hiroaki Kawabata. 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 Hiroaki Kawabata. The network helps show where Hiroaki Kawabata may publish in the future.
Co-authorship network of co-authors of Hiroaki Kawabata
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroaki Kawabata. A scholar is included among the top collaborators of Hiroaki Kawabata 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 Hiroaki Kawabata. Hiroaki Kawabata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 25 | |
| 3 | 98 | |
| 4 | 90 | |
| 5 | 9 | |
| 6 | 48 | |
| 7 | Cellular Neural Networks and Its Application for Abnormal Detection : Optimization of the Cellular Neural Networks by Designing an Output Function | 1 |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 8 | |
| 11 | 22 | |
| 12 | Cellular Neural Networks with Hysteresis cell(The Second Report) | 1 |
| 13 | 1 | |
| 14 | 2 | |
| 15 | Cellular Neural Networks with Multiple-Valued Output and Its Application | 14 |
| 16 | Cellular Neural Networks with Multiple-Valued Output and Its Application (Special Sectlon on Nonlinear Theory and its Applications) | 4 |
| 17 | Control of Chua's Circuit by Switching a Resistor | 1 |
| 18 | Fractal Dimensions of Coupled Chaotic Systems | 1 |
| 19 | 1 | |
| 20 | 0 |
About Hiroaki Kawabata
Hiroaki Kawabata is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Anatomy, having authored 62 papers that have together received 652 indexed citations. Recurring topics across this work include Neural Networks and Applications (18 papers), Image and Signal Denoising Methods (14 papers) and Neural Networks Stability and Synchronization (10 papers). The work is most often cited by research in Nephrology (135 citations), Complementary and Manual Therapy (26 citations) and Nutrition and Dietetics (135 citations). Hiroaki Kawabata has collaborated with scholars based in Japan, Australia and Poland. Frequent co-authors include Yusuke Sakaguchi, Yoshitaka Isaka, Hiromi Rakugi, Yoshiharu Tsubakihara, Koichi Watanabe, K. Tanigawa, Tatsuya Shoji, Kakuya Niihata, Noriyuki Okada and Akira Suzuki. Their work appears in journals such as Applied and Environmental Microbiology, Diabetes Care and Kidney International.
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.