Xiaoli Liu
Impact in
- Health Informatics top 5%
- Atmospheric Science top 10%
- Precipitation Measurement and Analysis
- Meteorological Phenomena and Simulations
Papers in ⓘ
-
- Machine Learning in Healthcare 6
- Epidemiology 11
- Sepsis Diagnosis and Treatment 9
- Co-authors
- Shengjie Niu (1 shared paper)Xingcan Jia (1 shared paper)Yangang Liu (1 shared paper)Chunsong Lu (1 shared paper)Zhengbo Zhang (18 shared papers)Leo Anthony Celi (6 shared papers)Peiyao Li (10 shared papers)An-Kwok Ian Wong (1 shared paper)
- Journals
- The Journals of Gerontology Series A (2 papers)Blood (1 paper)JAMA Network Open (1 paper)Frontiers in Psychiatry (1 paper)BMC Nursing (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaoli Liu
51 papers receiving 569 citations
Peers
Comparison fields: 5 of 146
- Health Informatics 25
- Atmospheric Science 124
- Health Information Management 31
- Critical Care and Intensive Care Medicine 28
- Global and Planetary Change 88
Countries citing papers authored by Xiaoli Liu
This map shows the geographic impact of Xiaoli 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 Xiaoli Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Liu more than expected).
Fields of papers citing papers by Xiaoli Liu
This network shows the impact of papers produced by Xiaoli 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 Xiaoli Liu. The network helps show where Xiaoli Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoli 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
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 131 | |
| 2 | 2009 | 130 | |
| 3 | 2020 | 27 | |
| 4 | 2019 | 26 | |
| 5 | 2022 | 21 | |
| 6 | 2021 | 19 | |
| 7 | 2017 | 17 | |
| 8 | 2024 | 14 | |
| 9 | 2024 | 13 | |
| 10 | 2017 | 13 | |
| 11 | 2018 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2021 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2024 | 8 | |
| 18 | 2009 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2006 | 7 |
About Xiaoli Liu
Xiaoli Liu is a scholar working on Artificial Intelligence, Epidemiology, Surgery, Cardiology and Cardiovascular Medicine and Biomedical Engineering, having authored 57 papers that have together received 584 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (9 papers), Non-Invasive Vital Sign Monitoring (7 papers), ECG Monitoring and Analysis (6 papers), Machine Learning in Healthcare (6 papers), Heart Rate Variability and Autonomic Control (4 papers), Hemodynamic Monitoring and Therapy (3 papers), earthquake and tectonic studies (3 papers) and Healthcare cost, quality, practices (3 papers). The work is most often cited by research in Health Informatics (25 citations), Atmospheric Science (124 citations), Health Information Management (31 citations), Critical Care and Intensive Care Medicine (28 citations) and Global and Planetary Change (88 citations). Xiaoli Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shengjie Niu, Xingcan Jia, Yangang Liu, Chunsong Lu, Zhengbo Zhang, Leo Anthony Celi, Peiyao Li, An-Kwok Ian Wong, Marie‐Laure Charpignon and Timothy G. Buchman. Their work appears in journals such as The Journals of Gerontology Series A, Blood, JAMA Network Open, Frontiers in Psychiatry and BMC Nursing.
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.