Honghao Luo
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- AI in cancer detection 2
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- Radiomics and Machine Learning in Medical Imaging 3
- MRI in cancer diagnosis 1
- Co-authors
- Haoran Dou (2 shared papers)Qi Liu (2 shared papers)Yunzhi Huang (2 shared papers)Luyi Han (2 shared papers)Jingfan Fan (1 shared paper)Shuai Wang (1 shared paper)Jiang Zhang (1 shared paper)Guangfu Yin (1 shared paper)
- Journals
- Frontiers in Immunology (2 papers)Frontiers in Oncology (2 papers)BMC Cancer (1 paper)BioFactors (1 paper)Computer Methods and Programs in Biomedicine (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Honghao Luo
14 papers receiving 308 citations
Peers
Comparison fields: 5 of 47
- Health Informatics 9
- Radiology, Nuclear Medicine and Imaging 100
- Artificial Intelligence 111
- Neurology 20
- Computer Vision and Pattern Recognition 53
Countries citing papers authored by Honghao Luo
This map shows the geographic impact of Honghao Luo'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 Honghao Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Honghao Luo more than expected).
Fields of papers citing papers by Honghao Luo
This network shows the impact of papers produced by Honghao Luo. 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 Honghao Luo. The network helps show where Honghao Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Honghao Luo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 80 | |
| 2 | 2023 | 64 | |
| 3 | 2019 | 61 | |
| 4 | 2024 | 30 | |
| 5 | 2020 | 18 | |
| 6 | 2024 | 16 | |
| 7 | 2020 | 12 | |
| 8 | 2024 | 9 | |
| 9 | 2024 | 9 | |
| 10 | 2024 | 5 | |
| 11 | 2025 | 4 | |
| 12 | 2024 | 3 | |
| 13 | [The perfusion pattern of lymphadenopathy in contrast-enhanced ultrasonograph. under different reference conditions ]. | 2014 | 1 |
| 14 | 2024 | 1 | |
| 15 | 2023 | 0 | |
| 16 | 2022 | 0 |
About Honghao Luo
Honghao Luo is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Surgery and Oncology, having authored 16 papers that have together received 313 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), AI in cancer detection (2 papers), Ferroptosis and cancer prognosis (1 paper), Renal cell carcinoma treatment (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), MRI in cancer diagnosis (1 paper) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Health Informatics (9 citations), Radiology, Nuclear Medicine and Imaging (100 citations), Artificial Intelligence (111 citations), Neurology (20 citations) and Computer Vision and Pattern Recognition (53 citations). Honghao Luo has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Haoran Dou, Qi Liu, Yunzhi Huang, Luyi Han, Jingfan Fan, Shuai Wang, Jiang Zhang, Guangfu Yin, Jiang Zhang and Zhen Yuan. Their work appears in journals such as Frontiers in Immunology, Frontiers in Oncology, BMC Cancer, BioFactors and Computer Methods and Programs in Biomedicine.
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.