Feng Hou
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Health Informatics top 10%
Papers in
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- Sarcoma Diagnosis and Treatment 16
- Lung Cancer Diagnosis and Treatment 6
- Medical Imaging and Pathology Studies 4
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- Radiomics and Machine Learning in Medical Imaging 19
- Co-authors
- Dapeng Hao (12 shared papers)Hexiang Wang (10 shared papers)Jihua Liu (6 shared papers)Hexiang Wang (4 shared papers)Chencui Huang (9 shared papers)Shunli Liu (5 shared papers)Cheng Dong (6 shared papers)Tengbo Yu (2 shared papers)
- Journals
- Cancer Imaging (4 papers)Clinical Radiology (4 papers)European Radiology (4 papers)BioMed Research International (4 papers)Journal of Magnetic Resonance Imaging (3 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Feng Hou
45 papers receiving 560 citations
Peers
Comparison fields: 5 of 61
- Radiology, Nuclear Medicine and Imaging 268
- Health Informatics 14
- Pulmonary and Respiratory Medicine 257
- Rheumatology 93
- Gastroenterology 32
Countries citing papers authored by Feng Hou
This map shows the geographic impact of Feng 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 Feng Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Hou more than expected).
Fields of papers citing papers by Feng Hou
This network shows the impact of papers produced by Feng 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 Feng Hou. The network helps show where Feng Hou may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Hou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 55 | |
| 2 | 2021 | 42 | |
| 3 | 2021 | 39 | |
| 4 | 2020 | 38 | |
| 5 | 2018 | 37 | |
| 6 | 2021 | 34 | |
| 7 | 2019 | 20 | |
| 8 | 2022 | 19 | |
| 9 | 2017 | 18 | |
| 10 | 2018 | 18 | |
| 11 | 2019 | 17 | |
| 12 | 2020 | 16 | |
| 13 | 2022 | 16 | |
| 14 | 2018 | 16 | |
| 15 | 2023 | 15 | |
| 16 | 2017 | 14 | |
| 17 | 2022 | 14 | |
| 18 | 2023 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2018 | 10 |
About Feng Hou
Feng Hou is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology, Surgery and Rheumatology, having authored 50 papers that have together received 566 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (19 papers), Sarcoma Diagnosis and Treatment (16 papers), Lung Cancer Diagnosis and Treatment (6 papers), Bone Tumor Diagnosis and Treatments (6 papers), Bladder and Urothelial Cancer Treatments (5 papers), Medical Imaging and Pathology Studies (4 papers), Advanced X-ray and CT Imaging (3 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (268 citations), Health Informatics (14 citations), Pulmonary and Respiratory Medicine (257 citations), Rheumatology (93 citations) and Gastroenterology (32 citations). Feng Hou has collaborated with scholars based in China and United States. Frequent co-authors include Dapeng Hao, Hexiang Wang, Jihua Liu, Hexiang Wang, Chencui Huang, Shunli Liu, Cheng Dong, Tengbo Yu, Pei Nie and Peng Gao. Their work appears in journals such as Cancer Imaging, Clinical Radiology, European Radiology, BioMed Research International and Journal of Magnetic Resonance Imaging.
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.