Yubo Liu
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- Ultrasound Imaging and Elastography 7
- Radiomics and Machine Learning in Medical Imaging 4
- Health Informatics top 5%
- Hepatology top 10%
- Cancer Research top 10%
- Artificial Intelligence top 5%
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- Photoacoustic and Ultrasonic Imaging 7
- Ultrasound and Hyperthermia Applications 5
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- Dietary Effects on Health 3
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- Cerebrovascular and Carotid Artery Diseases 3
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- Intracranial Aneurysms: Treatment and Complications 3
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- Cholangiocarcinoma and Gallbladder Cancer Studies 3
- Journals
- Ultrasound in Medicine & Biology (3 papers)Frontiers in Oncology (3 papers)Nature Communications (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Yubo Liu
64 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Radiology, Nuclear Medicine and Imaging 497
- Health Informatics 26
- Hepatology 106
- Cancer Research 186
- Artificial Intelligence 244
Countries citing papers authored by Yubo Liu
This map shows the geographic impact of Yubo Liu'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 Yubo Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yubo Liu more than expected).
Fields of papers citing papers by Yubo Liu
This network shows the impact of papers produced by Yubo Liu. 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 Yubo Liu. The network helps show where Yubo Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yubo Liu, 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 | 2025 | 0 | |
| 2 | 2025 | 7 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 21 | |
| 7 | 2024 | 6 | |
| 8 | 2023 | 52 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 11 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 2 | |
| 14 | Deep learning radiomics can predict axillary lymph node status in early-stage breast cancerbreakdown → | 2020 | 402 |
| 15 | 2019 | 5 | |
| 16 | 2018 | 2 | |
| 17 | 2016 | 2 | |
| 18 | Diffuse Calcification of the Urinary System and Miliary Tuberculosis Due To Delayed Diagnosis of Genitourinary Tuberculosis: A Case Report | 2015 | 5 |
| 19 | 2013 | 14 | |
| 20 | A primary report on softwood cutting test of Acer mono | 2004 | 1 |
About Yubo Liu
Yubo Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology and Endocrine and Autonomic Systems, having authored 69 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (7 papers), Photoacoustic and Ultrasonic Imaging (7 papers), Ultrasound and Hyperthermia Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Dietary Effects on Health (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Intracranial Aneurysms: Treatment and Complications (3 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (497 citations), Health Informatics (26 citations) and Hepatology (106 citations). Yubo Liu has collaborated with scholars based in China, United States and India. Frequent co-authors include Jianhua Zhou, Yini Huang, Fei Li, Xueyi Zheng, Yun Wang, Mallikarjuna Korivi, Rushuang Mao, Yixin Hu, Jinhua Yu and Yuanyuan Wang. Their work appears in journals such as Ultrasound in Medicine & Biology, Frontiers in Oncology, Nature Communications, Frontiers in Bioengineering and Biotechnology and International Journal of Environmental Research and Public Health.
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.