Cindy Cheng

29 papers receiving 884 citations

Hit Papers

COVID-19 Government Response Event Dataset (CoronaNet v.1.0) 2020 · 302 citations
3020+2+4Years since publication100200300

Peers

Cindy Cheng
Comparison fields: 5 of 148
  • Modeling and Simulation 153
  • Research and Theory 22
  • Leadership and Management 15
  • Organizational Behavior and Human Resource Management 92
  • General Health Professions 143
Replace Bin Zhu with:
Bin Zhu China
Devendra Raj Singh Nepal
David Dutwin United States
Theophilus I. Emeto Australia
Pradip Chouhan India
Luke Taylor Australia
May CI van Schalkwyk United Kingdom
Huong Thanh Nguyen Vietnam
Elize Massard da Fonseca Brazil
Jay Saha India
Cindy Cheng relative to Bin Zhu China Bin Zhu's profile →
Citations per field
00.5×7.3×
Bin Zhu · 1×
Citations per year

Countries citing papers authored by Cindy Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Cindy Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cindy Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cindy Cheng Line = papers co-authored together Cindy Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
COVID-19 Government Response Event Dataset (CoronaNet v.1.0)
Hit paper breakdown →
2020302
2 2006112
3 201689
4 201385
5 201248
6 199036
7 201531
8 202430
9 201730
10 202221
11 202020
12 200519
13 201818
14 201613
15 202012
16
Deletion of HIF-1α partially rescues the abnormal hyaloid vascular system in Cited2 conditional knockout mouse eyes.
20128
17 20227
18 20207
19 20236
20 20205

About Cindy Cheng

Cindy Cheng is a scholar working on Sociology and Political Science, Modeling and Simulation, Epidemiology, Economics and Econometrics and General Health Professions, having authored 33 papers that have together received 925 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (8 papers), COVID-19 Pandemic Impacts (5 papers), Data-Driven Disease Surveillance (3 papers), Disability Education and Employment (2 papers), Food Security and Health in Diverse Populations (2 papers), Vietnamese History and Culture Studies (2 papers), Job Satisfaction and Organizational Behavior (2 papers) and Political Conflict and Governance (2 papers). The work is most often cited by research in Modeling and Simulation (153 citations), Research and Theory (22 citations), Leadership and Management (15 citations), Organizational Behavior and Human Resource Management (92 citations) and General Health Professions (143 citations). Cindy Cheng has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Luca Messerschmidt, Joan Barceló, Robert Kubinec, Allison Spencer Hartnett, Timothy Bartram, Sandra G. Leggat, Leila Karimi, Farin Kamangar, Christian C. Abnet and Charles S. Rabkin. Their work appears in journals such as Scientific Data, British Journal of Political Science, Scientific Reports, Microbial Pathogenesis and International Journal of Environmental Research and Public Health.

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.

Explore authors with similar magnitude of impact