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

Peers

Hao Deng
Comparison fields: 5 of 139
  • Artificial Intelligence 389
  • Anesthesiology and Pain Medicine 262
  • Critical Care and Intensive Care Medicine 190
  • Surgery 172
  • Cardiology and Cardiovascular Medicine 156
Replace Sang Hyun Kim with:
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 View profile →
Citations per field, relative to Hao Deng
Hao Deng · 1×
Citations per year, relative to Hao Deng
Hao Deng · 1×

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
# Work Indexed citations
1 0
2 2
3 3
4 6
5 25
6 4
7 2
8 58
9 8
10 9
11 59
12 2
13 4
14 104
15 6
16
Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records breakdown →
288
17 1
18
LoAdaBoost:Loss-Based AdaBoost Federated Machine Learning on medical Data
34
19 10
20 16

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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