Shoji Kido
- Pulmonary and Respiratory Medicine top 2%
- Radiology, Nuclear Medicine and Imaging top 1%
- Artificial Intelligence top 5%
- Biomedical Engineering top 10%
- Oncology top 10%
- Co-authors
- Keiko KuriyamaC KurodaMasahiko HigashiyamaYasushi HiranoTsutomu KasugaiNoriyuki TomiyamaNoriaki HashimotoJ Ikezoe
- Topics
- Radiomics and Machine Learning in Medical Imaging (73 papers)Lung Cancer Diagnosis and Treatment (65 papers)COVID-19 diagnosis using AI (40 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineHealth Informatics
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsRadiology
- Partner nations
- JapanChinaUnited States
In The Last Decade
Shoji Kido
155 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 151
- Pulmonary and Respiratory Medicine 1.1k
- Radiology, Nuclear Medicine and Imaging 974
- Artificial Intelligence 266
- Biomedical Engineering 257
- Oncology 241
Countries citing papers authored by Shoji Kido
This map shows the geographic impact of Shoji Kido'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 Shoji Kido with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoji Kido more than expected).
Fields of papers citing papers by Shoji Kido
This network shows the impact of papers produced by Shoji Kido. 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 Shoji Kido. The network helps show where Shoji Kido may publish in the future.
Co-authorship network of co-authors of Shoji Kido
This figure shows the co-authorship network connecting the top 25 collaborators of Shoji Kido. A scholar is included among the top collaborators of Shoji Kido 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 Shoji Kido. Shoji Kido is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 12 | |
| 10 | 14 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | Segmentation for diffuse lung disease opacities on CT images using U-Net and residual U-Net | 1 |
| 14 | Detection of Abnormal Shadows on Temporal Subtraction Images Based on Multi-phase CNN | 0 |
| 15 | 1 | |
| 16 | Classification of Idiopathic Interstitial Pneumonias using Semi-Supervised Learning | 0 |
| 17 | A Computer-aided Diagnosis Method for Classification of Pneumoconiosis Patterns on HRCT Images | 0 |
| 18 | A Temporal Subtraction Technique for 3-D Non-rigid Warping Method Based on Free Form Deformation from Thoracic MDCT Image | 1 |
| 19 | Discrimination of Lung Sounds Using a Statistics of Waveform Intervals. | 3 |
| 20 | 9 |
About Shoji Kido
Shoji Kido is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 173 papers that have together received 2.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (73 papers), Lung Cancer Diagnosis and Treatment (65 papers) and COVID-19 diagnosis using AI (40 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (974 citations), Pulmonary and Respiratory Medicine (1.1k citations) and Health Informatics (45 citations). Shoji Kido has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Keiko Kuriyama, C Kuroda, Masahiko Higashiyama, Yasushi Hirano, Tsutomu Kasugai, Noriyuki Tomiyama, Noriaki Hashimoto, J Ikezoe, Ken Kodama and Shingo Mabu. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Radiology.
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.