Ying Hou
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 5%
- Biomedical Engineering top 10%
- Artificial Intelligence top 5%
- Oncology
- Co-authors
- Raymond H. MakHugo J.W.L. AertsThibaud CorollerPatrick GroßmannVishesh AgrawalVivek NarayanBenjamin Haibe‐KainsGretchen Hermann
- Topics
- Radiomics and Machine Learning in Medical Imaging (18 papers)Prostate Cancer Diagnosis and Treatment (13 papers)Lung Cancer Diagnosis and Treatment (10 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsPulmonary and Respiratory Medicine
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Ying Hou
52 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Radiology, Nuclear Medicine and Imaging 1.4k
- Pulmonary and Respiratory Medicine 837
- Biomedical Engineering 449
- Artificial Intelligence 244
- Oncology 229
Countries citing papers authored by Ying Hou
This map shows the geographic impact of Ying Hou'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 Ying Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Hou more than expected).
Fields of papers citing papers by Ying Hou
This network shows the impact of papers produced by Ying Hou. 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 Ying Hou. The network helps show where Ying Hou may publish in the future.
Co-authorship network of co-authors of Ying Hou
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Hou. A scholar is included among the top collaborators of Ying Hou 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 Ying Hou. Ying Hou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 8 | |
| 3 | 10 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 30 | |
| 7 | 188 | |
| 8 | 12 | |
| 9 | 34 | |
| 10 | 3 | |
| 11 | 16 | |
| 12 | 36 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | 26 | |
| 17 | CT-based radiomic signature predicts distant metastasis in lung adenocarcinomabreakdown → | 547 |
| 18 | Celastrus orbiculatus extract inhibits the xenograft tumor growth of HepA1-6 hepatoma in mice | 1 |
| 19 | 2 | |
| 20 | 26 |
About Ying Hou
Ying Hou is a scholar working on Urology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 54 papers that have together received 1.8k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (18 papers), Prostate Cancer Diagnosis and Treatment (13 papers) and Lung Cancer Diagnosis and Treatment (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.4k citations), Health Informatics (57 citations) and Pulmonary and Respiratory Medicine (837 citations). Ying Hou has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Raymond H. Mak, Hugo J.W.L. Aerts, Thibaud Coroller, Patrick Großmann, Vishesh Agrawal, Vivek Narayan, Benjamin Haibe‐Kains, Gretchen Hermann, Ralph T. H. Leijenaar and Emmanuel Rios Velazquez. Their work appears in journals such as Gastroenterology, PLoS ONE and Scientific Reports.
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.