Hao Deng

1.9k total citations · 1 hit paper
71 papers, 1.2k citations indexed

About

Hao Deng is a scholar working on Anesthesiology and Pain Medicine, Cardiology and Cardiovascular Medicine and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Hao Deng has authored 71 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Anesthesiology and Pain Medicine, 16 papers in Cardiology and Cardiovascular Medicine and 14 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Hao Deng's work include Anesthesia and Sedative Agents (13 papers), Cardiac, Anesthesia and Surgical Outcomes (13 papers) and Intensive Care Unit Cognitive Disorders (12 papers). Hao Deng is often cited by papers focused on Anesthesia and Sedative Agents (13 papers), Cardiac, Anesthesia and Surgical Outcomes (13 papers) and Intensive Care Unit Cognitive Disorders (12 papers). Hao Deng collaborates with scholars based in United States, China and Sweden. Hao Deng's co-authors include Dianbo Liu, Huang Li, Timothy T. Houle, Shifa Zhang, Yifeng Yin, Matthias Eikermann, Dana P. Turner, Patrick L. Purdon, Stephanie D. Grabitz and Yuanming Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Hao Deng

64 papers receiving 1.2k citations

Hit Papers

Patient clustering improves efficiency of federated machi... 2019 2026 2021 2023 2019 50 100 150 200 250
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. Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records
    2019 288 citations Huang Li, Hao Deng et al. Journal of Biomedical Informatics profile →

Peers

Hao Deng
Sang Hyun Kim South Korea
Seung Min Park South Korea
Stephen Bonner United Kingdom
Lingmin Chen China
Yu‐Chuan Tsai Taiwan
Antoine Piau France
Jean‐Marc Bernard France
Chris Wells United States
Ying Lin United States
Michael Johnstone Australia
Sang Hyun Kim South Korea
Hao Deng
Citations per year, relative to Hao Deng Hao Deng (= 1×) peers Sang Hyun Kim

Countries citing papers authored by Hao Deng

Since Specialization
Citations

This map shows the geographic impact of Hao Deng'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 Hao Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Deng more than expected).

Fields of papers citing papers by Hao Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hao Deng. 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 Hao Deng. The network helps show where Hao Deng may publish in the future.

Co-authorship network of co-authors of Hao Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Deng. A scholar is included among the top collaborators of Hao Deng 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 Hao Deng. Hao Deng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Smischney, Nathan J., George Williams, Craig S. Jabaley, et al.. (2025). Outcomes of Sedative Hypnotic Agents Used for Endotracheal Intubation in Critically Ill Adults: A Systematic Review with Exploratory Meta-Analysis. Journal of Intensive Care Medicine. 1374666726–1374666726.
2.
Deng, Hao, Min Zhu, Brooks V. Udelsman, et al.. (2025). Intraoperative FiO2 and risk of impaired postoperative oxygenation in lung resection: A propensity score-weighted analysis. Journal of Clinical Anesthesia. 101. 111739–111739. 2 indexed citations
3.
Gleeson, Elizabeth, Peng Li, Chenlu Gao, et al.. (2024). Sleep and circadian biomarkers of postoperative delirium (SLEEP-POD): protocol for a prospective and observational cohort study. BMJ Open. 14(4). e080796–e080796. 3 indexed citations
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Dong, Yuanlin, Wenyu Song, Hao Deng, et al.. (2023). The association between gut microbiota and postoperative delirium in patients. Translational Psychiatry. 13(1). 156–156. 25 indexed citations
6.
Dashti, Hassan S., Aaron Leong, Kris M. Mogensen, et al.. (2023). Glycemic and sleep effects of daytime compared with those of overnight infusions of home parenteral nutrition in adults with short bowel syndrome: A quasi-experimental pilot trial. American Journal of Clinical Nutrition. 119(2). 569–577. 4 indexed citations
7.
Deng, Hao, et al.. (2023). Establishment of a Rat Model of Infraorbital Neuroinflammation UnderCT Guidance. Current Neurovascular Research. 20(2). 261–269. 2 indexed citations
8.
Liu, Ran, Rodrigo Gutiérrez, Proloy Das, et al.. (2023). Association of Intraoperative Opioid Administration With Postoperative Pain and Opioid Use. JAMA Surgery. 158(8). 854–854. 58 indexed citations
9.
You, Zerong, Hao Deng, William R. Kem, et al.. (2022). The nonopioid cholinergic agonist GTS-21 mitigates morphine-induced aggravation of burn injury pain together with inhibition of spinal microglia activation in young rats. British Journal of Anaesthesia. 129(6). 959–969. 8 indexed citations
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Shao, Yu Raymond, Pegah Kahali, Timothy T. Houle, et al.. (2020). Low Frontal Alpha Power Is Associated With the Propensity for Burst Suppression: An Electroencephalogram Phenotype for a “Vulnerable Brain”. Anesthesia & Analgesia. 131(5). 1529–1539. 59 indexed citations
12.
Nanji, Karen C., Alan Merry, Sofia D. Shaikh, et al.. (2020). Global PRoMiSe (Perioperative Recommendations for Medication Safety): protocol for a mixed-methods study. BMJ Open. 10(6). e038313–e038313. 2 indexed citations
13.
Albutt, Katherine, Hao Deng, Nicholas Musinguzi, et al.. (2020). Outcome Measurement at a Ugandan Referral Hospital: Validation of the Mbarara Surgical Services Quality Assurance Database. World Journal of Surgery. 44(8). 2550–2556. 4 indexed citations
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Li, Huang, et al.. (2019). Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records. Journal of Biomedical Informatics. 99. 103291–103291. 288 indexed citations breakdown →
17.
Deng, Hao, et al.. (2018). Supplemental Carbon Dioxide Stabilizes the Upper Airway in Volunteers Anesthetized with Propofol. Anesthesiology. 129(1). 37–46. 1 indexed citations
18.
Li, Huang, et al.. (2018). LoAdaBoost:Loss-Based AdaBoost Federated Machine Learning on medical Data. arXiv (Cornell University). 34 indexed citations
19.
Plummer, George S., Reine Ibala, Hao Deng, et al.. (2018). Electroencephalogram dynamics during general anesthesia predict the later incidence and duration of burst-suppression during cardiopulmonary bypass. Clinical Neurophysiology. 130(1). 55–60. 10 indexed citations
20.

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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