Amanda M. Y. Chu

1.3k citations
63 papers · 911 indexed · h-index 16
Topics
COVID-19 epidemiological studies (11 papers)Complex Network Analysis Techniques (8 papers)Complex Systems and Time Series Analysis (7 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
Partner nations
Hong KongChinaTaiwan

In The Last Decade

Amanda M. Y. Chu

55 papers receiving 872 citations

Peers

Amanda M. Y. Chu
Comparison fields: 5 of 127
  • Economics and Econometrics 325
  • Information Systems 130
  • Sociology and Political Science 116
  • Modeling and Simulation 115
  • Finance 109
Replace Dieter Graß with:
Dieter Graß Austria
Theologos Dergiades Greece
Nikos Askitas Germany
Ansari Saleh Ahmar Indonesia
Andrea Flori Italy
Maryam Farboodi United States
Pietro Terna Italy
Navid Ghaffarzadegan United States
Arieh Gavious Israel
Maria Enrica Virgillito Italy
Amanda M. Y. Chu relative to Dieter Graß Austria Dieter Graß's profile →
Citations per field
00.5×7.6×
Dieter Graß · 1×
Citations per year

Countries citing papers authored by Amanda M. Y. Chu

Since Specialization
Citations

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

Fields of papers citing papers by Amanda M. Y. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda M. Y. Chu. 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 Amanda M. Y. Chu. The network helps show where Amanda M. Y. Chu may publish in the future.

Co-authorship network of co-authors of Amanda M. Y. Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Amanda M. Y. Chu. A scholar is included among the top collaborators of Amanda M. Y. Chu 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 Amanda M. Y. Chu. Amanda M. Y. Chu 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 1
2 0
3 1
4 2
5 5
6 46
7 50
8 15
9 6
10 12
11 9
12 7
13 7
14 72
15 8
16 15
17 2
18 58
19 14
20 1

About Amanda M. Y. Chu

Amanda M. Y. Chu is a scholar working on Modeling and Simulation, Finance and Statistics and Probability, having authored 63 papers that have together received 911 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (11 papers), Complex Network Analysis Techniques (8 papers) and Complex Systems and Time Series Analysis (7 papers). The work is most often cited by research in Modeling and Simulation (115 citations), Economics and Econometrics (325 citations) and Finance (109 citations). Amanda M. Y. Chu has collaborated with scholars based in Hong Kong, China and Taiwan. Frequent co-authors include Mike K. P. So, Agnes Tiwari, Wing‐Keung Wong, Patrick Y.K. Chau, Benson S. Y. Lam, Michael McAleer, Connie Liu, Saman Attiq, Pauline Chu and Michael F. Dixon. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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