Hideto Yokoi
About
In The Last Decade
Hideto Yokoi
42 papers receiving 324 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 123
- Information Systems 78
- Signal Processing 65
- Molecular Biology 54
- Computational Theory and Mathematics 49
Countries citing papers authored by Hideto Yokoi
This map shows the geographic impact of Hideto Yokoi'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 Hideto Yokoi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideto Yokoi more than expected).
Fields of papers citing papers by Hideto Yokoi
This network shows the impact of papers produced by Hideto Yokoi. 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 Hideto Yokoi. The network helps show where Hideto Yokoi may publish in the future.
Co-authorship network of co-authors of Hideto Yokoi
This figure shows the co-authorship network connecting the top 25 collaborators of Hideto Yokoi. A scholar is included among the top collaborators of Hideto Yokoi 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 Hideto Yokoi. Hideto Yokoi 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 | 4 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 8 | |
| 10 | 21 | |
| 11 | Discharge Summaries can be Diagnosed from Extracted Index Terms by Text Mining | 1 |
| 12 | Temporal abstraction and data mining with visualization of laboratory data. | 6 |
| 13 | 41 | |
| 14 | 1 | |
| 15 | Part VI-Risk Management Systems with Intelligent Data Analysis-Implementing an Integrated Time-Series Data Mining Environment Based on Temporal Pattern Extraction Methods: A Case Study of an | 1 |
| 16 | Experimental evaluation of time-series decision tree | 2 |
| 17 | Evaluation of rule interestingness measures with a clinical dataset on hepatitis | 9 |
| 18 | Development and Evaluation of an Integrated Time - Series KDD Environment -A Case Study of Medical KDD on Hepatitis- | 2 |
| 19 | Decision-tree induction from time-series data based on a standard-example split test | 33 |
| 20 | Investigation of Rule Interestingness in Medical Data Mining | 2 |
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.