Sicheng Hao
- Epidemiology top 10%
- Artificial Intelligence top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Nephrology top 5%
- Co-authors
- Leo Anthony CeliBrian GowTom PollardBenjamin MoodyLi-wei H. LehmanRoger G. MarkAlistair E. W. JohnsonAyad Shammout
- Topics
- Machine Learning in Healthcare (4 papers)Sepsis Diagnosis and Treatment (3 papers)Intensive Care Unit Cognitive Disorders (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaAmerican Journal of Respiratory and Critical Care MedicineCHEST Journal
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Sicheng Hao
11 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Epidemiology 462
- Artificial Intelligence 297
- Cardiology and Cardiovascular Medicine 197
- Surgery 194
- Nephrology 155
Countries citing papers authored by Sicheng Hao
This map shows the geographic impact of Sicheng Hao'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 Sicheng Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sicheng Hao more than expected).
Fields of papers citing papers by Sicheng Hao
This network shows the impact of papers produced by Sicheng Hao. 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 Sicheng Hao. The network helps show where Sicheng Hao may publish in the future.
Co-authorship network of co-authors of Sicheng Hao
This figure shows the co-authorship network connecting the top 25 collaborators of Sicheng Hao. A scholar is included among the top collaborators of Sicheng Hao 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 Sicheng Hao. Sicheng Hao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 7 | |
| 10 | 22 | |
| 11 | MIMIC-IV, a freely accessible electronic health record datasetbreakdown → | 1072 |
| 12 | 37 | |
| 13 | 18 | |
| 14 | Comparative studies on haversian system of cortical os longum of the bovine and human | 1 |
About Sicheng Hao
Sicheng Hao is a scholar working on Health Informatics, Health Information Management and Critical Care and Intensive Care Medicine, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (4 papers), Sepsis Diagnosis and Treatment (3 papers) and Intensive Care Unit Cognitive Disorders (2 papers). The work is most often cited by research in Health Informatics (98 citations), Critical Care and Intensive Care Medicine (154 citations) and Health Information Management (108 citations). Sicheng Hao has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Leo Anthony Celi, Brian Gow, Tom Pollard, Benjamin Moody, Li-wei H. Lehman, Roger G. Mark, Alistair E. W. Johnson, Ayad Shammout, Lucas Bulgarelli and Steven Horng. Their work appears in journals such as SHILAP Revista de lepidopterología, American Journal of Respiratory and Critical Care Medicine and CHEST Journal.
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.