Hao‐Yuan Cheng

2.2k citations
33 papers · 1.3k indexed · 1 hit paper · h-index 15
Topics
COVID-19 epidemiological studies (12 papers)SARS-CoV-2 and COVID-19 Research (9 papers)COVID-19 Clinical Research Studies (6 papers)

In The Last Decade

Hao‐Yuan Cheng

32 papers receiving 1.2k citations

Hit Papers

Contact Tracing Assessment of COVID-19 Transmission Dynam...20202026202220242020100200300400500

Peers

Hao‐Yuan Cheng
Comparison fields: 5 of 131
  • Infectious Diseases 542
  • Modeling and Simulation 504
  • Epidemiology 194
  • Clinical Psychology 185
  • Information Systems 168
Replace Marcelo Ferreira da Costa Gomes with:
Marcelo Ferreira da Costa Gomes Brazil
Borame Sue Lee Dickens Singapore
Yinxiaohe Sun Singapore
Christine Tedijanto United States
Minah Park Singapore
Ganna Rozhnova Netherlands
Katsuma Hayashi Japan
Alexander Watts Canada
Yichi Yang Japan
Alexander E. Zarebski Australia
Hao‐Yuan Cheng relative to Marcelo Ferreira da Costa Gomes Brazil Marcelo Ferreira da Costa Gomes's profile →
Citations per field
00.5×1.5×
Marcelo Ferreira da Costa Gomes · 1×
Citations per year

Countries citing papers authored by Hao‐Yuan Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Hao‐Yuan Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hao‐Yuan Cheng. 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‐Yuan Cheng. The network helps show where Hao‐Yuan Cheng may publish in the future.

Co-authorship network of co-authors of Hao‐Yuan Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Hao‐Yuan Cheng. A scholar is included among the top collaborators of Hao‐Yuan Cheng 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‐Yuan Cheng. Hao‐Yuan Cheng 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 7
3 3
4 8
5 10
6 15
7 20
8 3
9 39
10 12
11 22
12 182
13 20
14 89
15 2
16 12
17 2
18 14
19 7
20 37

About Hao‐Yuan Cheng

Hao‐Yuan Cheng is a scholar working on Modeling and Simulation, Infectious Diseases and Emergency Medical Services, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (12 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and COVID-19 Clinical Research Studies (6 papers). The work is most often cited by research in Modeling and Simulation (504 citations), Infectious Diseases (542 citations) and Clinical Psychology (185 citations). Hao‐Yuan Cheng has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Hsien-Ho Lin, Ding‐Ping Liu, Shu-Wan Jian, Ta-Chou Vincent Ng, Wan‐Ting Huang, Michael G. Baker, Amanda Kvalsvig, Lucy Telfar-Barnard, Jennifer Summers and Nick Wilson. Their work appears in journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

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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