Sicheng Hao

2.8k total citations · 1 hit paper
14 papers, 1.2k citations indexed

About

Sicheng Hao is a scholar working on Artificial Intelligence, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sicheng Hao has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Epidemiology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sicheng Hao's work include Machine Learning in Healthcare (4 papers), Sepsis Diagnosis and Treatment (3 papers) and Intensive Care Unit Cognitive Disorders (2 papers). Sicheng Hao is often cited by papers focused on Machine Learning in Healthcare (4 papers), Sepsis Diagnosis and Treatment (3 papers) and Intensive Care Unit Cognitive Disorders (2 papers). Sicheng Hao collaborates with scholars based in United States, China and Singapore. Sicheng Hao's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Respiratory and Critical Care Medicine and CHEST Journal.

In The Last Decade

Sicheng Hao

11 papers receiving 1.2k citations

Hit Papers

MIMIC-IV, a freely accessible electronic health record da... 2023 2026 2024 2025 2023 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MIMIC-IV, a freely accessible electronic health record dataset
    2023 1.1k citations Alistair E. W. Johnson, Lucas Bulgarelli et al. Scientific Data profile →

Peers

Sicheng Hao
Ayad Shammout United States
Lucas Bulgarelli United States
Brian Gow United States
Jesse D. Raffa United States
Andre L. Holder United States
Steven Horng United States
Patrick Thoral Netherlands
Alexander Meyer Germany
Aozi Feng China
Joonghee Kim South Korea
Ayad Shammout United States
Sicheng Hao
Citations per year, relative to Sicheng Hao Sicheng Hao (= 1×) peers Ayad Shammout

Countries citing papers authored by Sicheng Hao

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

14 of 14 papers shown
1.
Yuan, Yue, et al.. (2025). Artificial intelligence-assisted machine learning models for predicting lung cancer survival. Asia-Pacific Journal of Oncology Nursing. 12. 100680–100680. 1 indexed citations
2.
Hao, Sicheng, Tristan Struja, Judy Wawira Gichoya, et al.. (2025). Differences in Arterial Blood Gas Testing by Race and Sex across 161 U.S. Hospitals in Four Electronic Health Record Databases. American Journal of Respiratory and Critical Care Medicine. 211(6). 1049–1058. 1 indexed citations
3.
Sauer, Christopher Martin, et al.. (2025). The Data Artifacts Glossary: a community-based repository for bias on health datasets. Journal of Biomedical Science. 32(1). 14–14. 1 indexed citations
4.
Liu, Xiaoli, Sicheng Hao, Zhicheng Yang, et al.. (2025). GRACE-ICU: A multimodal nomogram-based approach for illness severity assessment of older adults in the ICU. npj Digital Medicine. 8(1). 519–519.
5.
He, Yang, Ning Liu, Sicheng Hao, Min Xu, & Yingchun Zeng. (2025). Interpretable machine learning-based prediction of mortality in critical cancer patients with delirium: A retrospective cohort study. Asia-Pacific Journal of Oncology Nursing. 12. 100760–100760.
6.
Hao, Sicheng, Christopher E. Cox, Veronica Rotemberg, et al.. (2024). Utility of Skin Tone on Pulse Oximetry in Critically Ill Patients: A Prospective Cohort Study. Critical Care Explorations. 6(9). e1133–e1133. 3 indexed citations
7.
Wong, An-Kwok Ian, Paul E. Wischmeyer, Sicheng Hao, et al.. (2024). Enteral and Parenteral Nutrition Timing in eICU Collaborative Research Database by Race: A Retrospective Observational Study. Journal of Surgical Research. 304. 181–189.
8.
Artigas, Ricard Mellado, X. Borrat, Bruno L. Ferreyro, et al.. (2024). Effect of immediate initiation of invasive ventilation on mortality in acute hypoxemic respiratory failure: a target trial emulation. Critical Care. 28(1). 157–157. 5 indexed citations
9.
Wanis, Kerollos Nashat, Arin L. Madenci, Sicheng Hao, et al.. (2023). Emulating Target Trials Comparing Early and Delayed Intubation Strategies. CHEST Journal. 164(4). 885–891. 7 indexed citations
10.
Hao, Sicheng, Jiajie Huang, Tianqi Chen, et al.. (2023). The application of artificial intelligence in the management of sepsis. SHILAP Revista de lepidopterología. 3(5). 369–380. 22 indexed citations
11.
Johnson, Alistair E. W., Lucas Bulgarelli, Ayad Shammout, et al.. (2023). MIMIC-IV, a freely accessible electronic health record dataset. Scientific Data. 10(1). 1–1. 1072 indexed citations breakdown →
12.
Hao, Sicheng, Rui Wang, Yu Zhang, & Hui Zhan. (2019). Prediction of Alzheimer’s Disease-Associated Genes by Integration of GWAS Summary Data and Expression Data. Frontiers in Genetics. 9. 653–653. 37 indexed citations
13.
Hao, Sicheng, et al.. (2019). Evaluating Pan and Zoom Timelines and Sliders. 1–12. 18 indexed citations
14.
Yu, Keli, et al.. (1997). Comparative studies on haversian system of cortical os longum of the bovine and human. 17(1). 47–51. 1 indexed citations

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.

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