Elaine Cheong

1.8k total citations
36 papers, 946 citations indexed

About

Elaine Cheong is a scholar working on Infectious Diseases, Molecular Medicine and Hardware and Architecture. According to data from OpenAlex, Elaine Cheong has authored 36 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 10 papers in Molecular Medicine and 9 papers in Hardware and Architecture. Recurrent topics in Elaine Cheong's work include Antibiotic Resistance in Bacteria (10 papers), Embedded Systems Design Techniques (8 papers) and Real-Time Systems Scheduling (6 papers). Elaine Cheong is often cited by papers focused on Antibiotic Resistance in Bacteria (10 papers), Embedded Systems Design Techniques (8 papers) and Real-Time Systems Scheduling (6 papers). Elaine Cheong collaborates with scholars based in Australia, United States and United Kingdom. Elaine Cheong's co-authors include Thomas Gottlieb, Derrick W. Crook, Amy J. Mathers, Tim Peto, Nicole Stoesser, Edward A. Lee, Jie Liu, A. Sarah Walker, Shireen Kotay and Feng Zhao and has published in prestigious journals such as Clinical Infectious Diseases, Scientific Reports and Journal of Clinical Microbiology.

In The Last Decade

Elaine Cheong

34 papers receiving 910 citations

Peers

Elaine Cheong
Comparison fields: 5 of 99
  • Molecular Medicine 363
  • Infectious Diseases 219
  • Endocrinology 196
  • Computer Networks and Communications 161
  • Epidemiology 137
Replace Christophe Guyeux with:
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Yusuke Koizumi Japan
Qian Liu China
Chih-Hao Hsu Taiwan
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Hyunseung Yoo United States
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Christophe Guyeux France View profile →
Citations per field, relative to Elaine Cheong
Elaine Cheong · 1×
Citations per year, relative to Elaine Cheong
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Countries citing papers authored by Elaine Cheong

Since Specialization
Citations

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

Fields of papers citing papers by Elaine Cheong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elaine Cheong

This figure shows the co-authorship network connecting the top 25 collaborators of Elaine Cheong. A scholar is included among the top collaborators of Elaine Cheong 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 Elaine Cheong. Elaine Cheong 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 7
2 6
3 6
4 25
5 25
6 3
7 20
8 237
9 11
10 0
11 68
12 23
13 49
14 17
15 21
16 22
17
Heterogeneous Concurrent Modeling and Design in Java (Volume 3: Ptolemy II Domains)
20
18
A Formalism for Higher-Order Composition Languages that Satisfies the Church-Rosser Property
4
19 1
20 66

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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