Yuichiro Hirai
- Surgery
- Pulmonary and Respiratory Medicine
- Electrical and Electronic Engineering
- Statistics and Probability top 5%
- Molecular Biology
- Co-authors
- Takahiro TsuchiyaKatsumaro TomokuniKazuo TsutsuiN. S. SokolovMasayoshi IchibaTomohiko HasegawaManabu YamadaA. Masaki
- Topics
- Gastric Cancer Management and Outcomes (14 papers)Metastasis and carcinoma case studies (8 papers)Neural Networks and Applications (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Physics LettersJournal of Applied Physics
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Yuichiro Hirai
54 papers receiving 508 citations
Peers
Comparison fields: 5 of 128
- Surgery 96
- Pulmonary and Respiratory Medicine 83
- Electrical and Electronic Engineering 78
- Statistics and Probability 70
- Molecular Biology 64
Countries citing papers authored by Yuichiro Hirai
This map shows the geographic impact of Yuichiro Hirai'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 Yuichiro Hirai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuichiro Hirai more than expected).
Fields of papers citing papers by Yuichiro Hirai
This network shows the impact of papers produced by Yuichiro Hirai. 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 Yuichiro Hirai. The network helps show where Yuichiro Hirai may publish in the future.
Co-authorship network of co-authors of Yuichiro Hirai
This figure shows the co-authorship network connecting the top 25 collaborators of Yuichiro Hirai. A scholar is included among the top collaborators of Yuichiro Hirai 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 Yuichiro Hirai. Yuichiro Hirai 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 | 0 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 12 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 13 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | Real-Time Recognition of Blue Traffic Signs From Blue Sky Background | 0 |
| 14 | Real-time recognition of traffic signs using opponent color filters | 2 |
| 15 | 12 | |
| 16 | A PDM digital neural network system with 1000 neurons fully interconnected via 1000000 6-bit synapses | 10 |
| 17 | 4 | |
| 18 | Augmentation of immune responses of pelvic lymph node lymphocytes in cervical cancer patients by sizofiran | 3 |
| 19 | 7 | |
| 20 | 19 |
About Yuichiro Hirai
Yuichiro Hirai is a scholar working on Gastroenterology, Pulmonary and Respiratory Medicine and Surgery, having authored 58 papers that have together received 536 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (14 papers), Metastasis and carcinoma case studies (8 papers) and Neural Networks and Applications (8 papers). The work is most often cited by research in Gastroenterology (48 citations), Statistics and Probability (70 citations) and Radiation (34 citations). Yuichiro Hirai has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Takahiro Tsuchiya, Katsumaro Tomokuni, Kazuo Tsutsui, N. S. Sokolov, Masayoshi Ichiba, Tomohiko Hasegawa, Manabu Yamada, A. Masaki, Satoshi Kinoshita and Qing Ma. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.
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.