Yucai Hong

2.4k citations
54 papers · 1.5k indexed · 1 hit paper · h-index 23
Topics
Sepsis Diagnosis and Treatment (28 papers)Respiratory Support and Mechanisms (10 papers)Machine Learning in Healthcare (9 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Yucai Hong

54 papers receiving 1.5k citations

Hit Papers

Machine learning for the prediction of volume responsiven...2019202620212023201950100150200

Peers

Yucai Hong
Comparison fields: 5 of 113
  • Epidemiology 566
  • Pulmonary and Respiratory Medicine 361
  • Surgery 318
  • Critical Care and Intensive Care Medicine 260
  • Molecular Biology 204
Replace Fernando G. Zampieri with:
Fernando G. Zampieri Brazil
Joonghee Kim South Korea
M.G.S. Shashaty United States
Michelle S. Chew Sweden
Roman Pfister Germany
Fiona K. Gibbons United States
Tariq Ahmad United States
Matthew Gitlin United States
Doron Zahger Israel
Marlies Antlanger Austria
Yucai Hong relative to Fernando G. Zampieri Brazil Fernando G. Zampieri's profile →
Citations per field
00.5×1.5×2.0×
Fernando G. Zampieri · 1×
Citations per year

Countries citing papers authored by Yucai Hong

Since Specialization
Citations

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

Fields of papers citing papers by Yucai Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yucai Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Yucai Hong. A scholar is included among the top collaborators of Yucai Hong 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 Yucai Hong. Yucai Hong 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
#WorkIndexed citations
1 3
2 12
3 12
4 24
5 35
6 30
7 37
8 7
9 96
10 114
11 5
12 18
13 19
14 13
15 7
16 14
17 29
18 22
19 26
20 1

About Yucai Hong

Yucai Hong is a scholar working on Critical Care and Intensive Care Medicine, Family Practice and Epidemiology, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (28 papers), Respiratory Support and Mechanisms (10 papers) and Machine Learning in Healthcare (9 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (260 citations), Health Informatics (34 citations) and Nephrology (167 citations). Yucai Hong has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Zhongheng Zhang, Kwok M. Ho, Ping Xu, Gensheng Zhang, Huiqing Ge, Hemant Goyal, Lifeng Xing, Nan Liu, Bin Zheng and Xiaobing Chen. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

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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