Junji Ueno
About
In The Last Decade
Junji Ueno
60 papers receiving 327 citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 165
- Radiology, Nuclear Medicine and Imaging 84
- Pulmonary and Respiratory Medicine 61
- Computer Vision and Pattern Recognition 44
- Biomedical Engineering 30
Countries citing papers authored by Junji Ueno
This map shows the geographic impact of Junji Ueno'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 Junji Ueno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junji Ueno more than expected).
Fields of papers citing papers by Junji Ueno
This network shows the impact of papers produced by Junji Ueno. 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 Junji Ueno. The network helps show where Junji Ueno may publish in the future.
Co-authorship network of co-authors of Junji Ueno
This figure shows the co-authorship network connecting the top 25 collaborators of Junji Ueno. A scholar is included among the top collaborators of Junji Ueno 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 Junji Ueno. Junji Ueno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 29 | |
| 3 | 1 | |
| 4 | Semi-automated organ segmentation using 3-dimensional medical imagery through sparse representation | 6 |
| 5 | 10 | |
| 6 | Revised GMDH-type neural network using principal component-regression analysis | 2 |
| 7 | Medical image diagnosis of lung cancer by revised GMDH-type neural network using heuristic self-organization | 1 |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | MEDICAL IMAGE RECOGNITION OF ABDOMINAL MULTI-ORGANS BY RBF GMDH-TYPE NEURAL NETWORK | 11 |
| 13 | Multi-layered GMDH-type neural network self-selecting optimum neural network architecture and its application to 3-dimensional medical image recognition of blood vessels | 35 |
| 14 | 6 | |
| 15 | 4 | |
| 16 | Medical image recognition of the brain by revised GMDH-type neural network algorithm with a feedback loop | 2 |
| 17 | 6 | |
| 18 | 18 | |
| 19 | Detecting lung cancer symptoms with analogic CNN algorithms based on a constrained diffusion template | 2 |
| 20 | Analogic CNN algorithms in bronchogenic carcinoma analysis | 3 |
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.