Noriyasu Homma
- Artificial Intelligence top 2%
- Control and Systems Engineering top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Networks and Communications top 5%
- Biomedical Engineering
- Co-authors
- Madan M. GuptaJin LiangLiang JinMakoto YoshizawaNorihiro SugitaKei IchijiXiaoyong ZhangIvo Bukovský
- Topics
- Neural Networks and Applications (23 papers)Advanced Radiotherapy Techniques (20 papers)Medical Imaging Techniques and Applications (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsPhysics in Medicine and Biology
In The Last Decade
Noriyasu Homma
96 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 134
- Artificial Intelligence 567
- Control and Systems Engineering 320
- Radiology, Nuclear Medicine and Imaging 281
- Computer Networks and Communications 236
- Biomedical Engineering 232
Countries citing papers authored by Noriyasu Homma
This map shows the geographic impact of Noriyasu Homma'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 Noriyasu Homma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noriyasu Homma more than expected).
Fields of papers citing papers by Noriyasu Homma
This network shows the impact of papers produced by Noriyasu Homma. 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 Noriyasu Homma. The network helps show where Noriyasu Homma may publish in the future.
Co-authorship network of co-authors of Noriyasu Homma
This figure shows the co-authorship network connecting the top 25 collaborators of Noriyasu Homma. A scholar is included among the top collaborators of Noriyasu Homma 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 Noriyasu Homma. Noriyasu Homma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | Target Extraction from X-ray Image Sequence by using Gaussian Mixture Model for Lung Tumor Tracking | 2 |
| 8 | 15 | |
| 9 | 23 | |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | Combinatorial effect of various features extraction on computer aided detection of pulmonary nodules in X-ray CT images | 7 |
| 16 | 2 | |
| 17 | Is neural firing frequency an informational carrier in neural systems | 1 |
| 18 | 1 | |
| 19 | 1 | |
| 20 | Memory-Based Location Estimation and Navigation Using Bayesian Estimation | 6 |
About Noriyasu Homma
Noriyasu Homma is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 115 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neural Networks and Applications (23 papers), Advanced Radiotherapy Techniques (20 papers) and Medical Imaging Techniques and Applications (19 papers). The work is most often cited by research in Artificial Intelligence (567 citations), Computer Graphics and Computer-Aided Design (54 citations) and Radiation (122 citations). Noriyasu Homma has collaborated with scholars based in Japan, Czechia and Canada. Frequent co-authors include Madan M. Gupta, Jin Liang, Liang Jin, Makoto Yoshizawa, Norihiro Sugita, Kei Ichiji, Xiaoyong Zhang, Ivo Bukovský, Tadashi Ishibashi and Makoto Abe. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Physics in Medicine and Biology.
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.