Siew Ann Cheong

1.9k citations
72 papers · 1.3k indexed · h-index 19
Topics
Complex Systems and Time Series Analysis (22 papers)Complex Network Analysis Techniques (12 papers)Ecosystem dynamics and resilience (8 papers)
Journals
Physical Review LettersThe Journal of Chemical PhysicsSHILAP Revista de lepidopterología

In The Last Decade

Siew Ann Cheong

65 papers receiving 1.2k citations

Peers

Siew Ann Cheong
Comparison fields: 5 of 145
  • Materials Chemistry 430
  • Atomic and Molecular Physics, and Optics 249
  • Economics and Econometrics 181
  • Statistical and Nonlinear Physics 179
  • Electrical and Electronic Engineering 144
Replace Arkadiusz Orłowski with:
Arkadiusz Orłowski Poland
Mirta B. Gordon France
Karoline Wiesner Sweden
Marco Tarzia France
Zoltán Néda Romania
Gregorio D’Agostino Italy
Ismo T. Koponen Finland
Vito D. P. Servedio Italy
Mark Westcott Australia
D. J. Gates Australia
Siew Ann Cheong relative to Arkadiusz Orłowski Poland Arkadiusz Orłowski's profile →
Citations per field
00.5×1.7×
Arkadiusz Orłowski · 1×
Citations per year

Countries citing papers authored by Siew Ann Cheong

Since Specialization
Citations

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

Fields of papers citing papers by Siew Ann Cheong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siew Ann Cheong

This figure shows the co-authorship network connecting the top 25 collaborators of Siew Ann Cheong. A scholar is included among the top collaborators of Siew Ann 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 Siew Ann Cheong. Siew Ann 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
#WorkIndexed citations
1 0
2 4
3 0
4 6
5 7
6 4
7 21
8 12
9 7
10 5
11 8
12 16
13 1
14
A Social Media-based Participatory Epidemiology Approach for Vector-borne Disease Prevention (VBDP) in South Asia
1
15 60
16 70
17 40
18 49
19 15
20 31

About Siew Ann Cheong

Siew Ann Cheong is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Economics and Econometrics, having authored 72 papers that have together received 1.3k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (22 papers), Complex Network Analysis Techniques (12 papers) and Ecosystem dynamics and resilience (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (179 citations), Catalysis (80 citations) and Condensed Matter Physics (120 citations). Siew Ann Cheong has collaborated with scholars based in Singapore, United States and Taiwan. Frequent co-authors include Christopher L. Henley, Kit Man Chan, Stephan Jaenicke, Gaik‐Khuan Chuah, Tom Wu, Yufeng Tian, Elbert E. M. Chia, Mi He, Yongfeng Li and Haiyang Peng. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

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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