Yea‐Hung Chen

83 papers receiving 2.8k citations

Yea‐Hung Chen's Hit Papers

Respondent-Driven Sampling: a Sampling Method for Hard-to-Reach Populations and Beyond 2022 · 105 citations
1050+1+3Years since publication50100150

Peers

Yea‐Hung Chen
Comparison fields: 5 of 128
  • Infectious Diseases 1.1k
  • Modeling and Simulation 293
  • Health 191
  • Social Psychology 389
  • Oncology 229
Replace Maria Yury Ichihara with:
Maria Yury Ichihara Brazil
Nina Gobat United Kingdom
Simbarashe Rusakaniko Zimbabwe
David C. Benkeser United States
Ana Penman‐Aguilar United States
Mostafa Shokoohi Iran
Janice Hopkins Tanne United Kingdom
Kate A Dolan Australia
Mosa Moshabela South Africa
Diego F. Cuadros United States
Yea‐Hung Chen relative to Maria Yury Ichihara Brazil Maria Yury Ichihara's profile →
Citations per field
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Maria Yury Ichihara · 1×
Citations per year

Countries citing papers authored by Yea‐Hung Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yea‐Hung Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yea‐Hung Chen. 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 Yea‐Hung Chen. The network helps show where Yea‐Hung Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Yea‐Hung Chen, 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 Yea‐Hung Chen Line = papers co-authored together Yea‐Hung Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Excess mortality associated with the COVID-19 pandemic among Californians 18–65 years of age, by occupational sector and occupation: March through November 2020
Hit paper breakdown →
2021190
2 2019174
3 2009165
4 2016155
5 2017119
6 2014114
7
Respondent-Driven Sampling: a Sampling Method for Hard-to-Reach Populations and Beyond
Hit paper breakdown →
2022105
8 201196
9 200988
10 201180
11 201578
12 201175
13 202173
14 201668
15 202368
16 201664
17 201358
18 201357
19 202157
20 202449

About Yea‐Hung Chen

Yea‐Hung Chen is a scholar working on Infectious Diseases, Modeling and Simulation, Epidemiology, Health and Oncology, having authored 84 papers that have together received 2.9k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (30 papers), COVID-19 epidemiological studies (20 papers), HIV, Drug Use, Sexual Risk (12 papers), LGBTQ Health, Identity, and Policy (6 papers), Survey Methodology and Nonresponse (4 papers), Survey Sampling and Estimation Techniques (4 papers), Health disparities and outcomes (4 papers) and COVID-19 and healthcare impacts (4 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Modeling and Simulation (293 citations), Health (191 citations), Social Psychology (389 citations) and Oncology (229 citations). Yea‐Hung Chen has collaborated with scholars based in United States, Uganda and South Africa. Frequent co-authors include Henry Fisher Raymond, Willi McFarland, Erin C. Wilson, Sean Arayasirikul, Stephen Bent, M. Maria Glymour, Kirsten B. Bibbins-Domingo, Alicia R. Riley, Ellicott C. Matthay and Jonathan M. Snowden. Their work appears in journals such as AIDS and Behavior, AIDS Care, PLoS ONE, American Journal of Public Health and JAIDS Journal of Acquired Immune Deficiency Syndromes.

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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