Koichiro Yamauchi
- Materials Chemistry top 10%
- Mechanical Engineering top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Electronic, Optical and Magnetic Materials
- Co-authors
- Minoru NishidaYuji SutouRyosuke KainumaK. IshidaHiroyuki OhgiN. ONOToshihiro OmoriKyosuke Nishida
- Topics
- Neural Networks and Applications (14 papers)Shape Memory Alloy Transformations (12 papers)Data Stream Mining Techniques (11 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Koichiro Yamauchi
56 papers receiving 918 citations
Peers
Comparison fields: 5 of 76
- Materials Chemistry 676
- Mechanical Engineering 306
- Artificial Intelligence 129
- Biomedical Engineering 82
- Electronic, Optical and Magnetic Materials 78
Countries citing papers authored by Koichiro Yamauchi
This map shows the geographic impact of Koichiro Yamauchi'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 Koichiro Yamauchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichiro Yamauchi more than expected).
Fields of papers citing papers by Koichiro Yamauchi
This network shows the impact of papers produced by Koichiro Yamauchi. 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 Koichiro Yamauchi. The network helps show where Koichiro Yamauchi may publish in the future.
Co-authorship network of co-authors of Koichiro Yamauchi
This figure shows the co-authorship network connecting the top 25 collaborators of Koichiro Yamauchi. A scholar is included among the top collaborators of Koichiro Yamauchi 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 Koichiro Yamauchi. Koichiro Yamauchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 152 | |
| 4 | 10 | |
| 5 | 27 | |
| 6 | Adaptive Classifiers-Ensemble System for Changing Situations | 0 |
| 7 | An online spam filtering system for changing situations using multiple classifiers | 0 |
| 8 | 5 | |
| 9 | Adaptive Classifiers-Ensemble System for Concept-Drifting Environments | 2 |
| 10 | 7 | |
| 11 | 8 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | An Incremental Learning Method of GRBF with Re-Generation of Input Patterns - Application for Case Based Reasoning Systems. | 2 |
| 15 | 0 | |
| 16 | Combination of Fast and Slow Learning Methods for Fast Adaptation and Pruning of Redundant Cells | 2 |
| 17 | Self-Supervised Learning of Autonomous Robot by Integrating Information from Several Sensors. | 1 |
| 18 | Incremental Learning Method of GRBF with Recalling of Interfered Patterns - Application for Case Based Reasoning Systems. | 1 |
| 19 | 71 | |
| 20 | 2 |
About Koichiro Yamauchi
Koichiro Yamauchi is a scholar working on Metals and Alloys, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 62 papers that have together received 956 indexed citations. Recurring topics across this work include Neural Networks and Applications (14 papers), Shape Memory Alloy Transformations (12 papers) and Data Stream Mining Techniques (11 papers). The work is most often cited by research in Materials Chemistry (676 citations), Mechanical Engineering (306 citations) and Metals and Alloys (15 citations). Koichiro Yamauchi has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Minoru Nishida, Yuji Sutou, Ryosuke Kainuma, K. Ishida, Hiroyuki Ohgi, N. ONO, Toshihiro Omori, Kyosuke Nishida, Ayaka Chiba and Akira Chibá. Their work appears in journals such as PLoS ONE, Acta Materialia and Materials Science and Engineering A.
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.