Kailu Wang

46 papers receiving 1.0k citations

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Change of Willingness to Accept COVID-19 Vaccine and Reasons of Vaccine Hesitancy of Working People at Different Waves of Local Epidemic in Hong Kong, China: Repeated Cross-Sectional Surveys 2021 · 191 citations
1910+2+4Years since publication100200300

Peers

Kailu Wang
Comparison fields: 5 of 124
  • Health 551
  • Modeling and Simulation 186
  • Infectious Diseases 450
  • Economics and Econometrics 172
  • Obstetrics and Gynecology 41
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Varvara Α. Mouchtouri Greece
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Maiza Campos Ponce Netherlands
Md Pervez Kabir Canada
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Countries citing papers authored by Kailu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kailu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Intention of nurses to accept coronavirus disease 2019 vaccination and change of intention to accept seasonal influenza vaccination during the coronavirus disease 2019 pandemic: A cross-sectional survey
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2020315
2
Change of Willingness to Accept COVID-19 Vaccine and Reasons of Vaccine Hesitancy of Working People at Different Waves of Local Epidemic in Hong Kong, China: Repeated Cross-Sectional Surveys
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2021191
3 202264
4 202140
5 202139
6 202135
7 202234
8 202131
9 202127
10 202225
11 202021
12 202218
13 202117
14 202416
15 202216
16 202014
17 202313
18 202310
19 202410
20 20169

About Kailu Wang

Kailu Wang is a scholar working on Infectious Diseases, Health, General Health Professions, Epidemiology and Animal Science and Zoology, having authored 52 papers that have together received 1.0k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (8 papers), Animal Virus Infections Studies (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 epidemiological studies (5 papers), Geriatric Care and Nursing Homes (5 papers), Dementia and Cognitive Impairment Research (4 papers), Pituitary Gland Disorders and Treatments (4 papers) and Intergenerational Family Dynamics and Caregiving (4 papers). The work is most often cited by research in Health (551 citations), Modeling and Simulation (186 citations), Infectious Diseases (450 citations), Economics and Econometrics (172 citations) and Obstetrics and Gynecology (41 citations). Kailu Wang has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Eng‐Kiong Yeoh, Eliza Lai‐Yi Wong, Samuel Yeung Shan Wong, Kin‐Fai Ho, Emily Ying Yang Chan, Annie Wai Ling Cheung, Dong Dong, Annie Wai-Ling Cheung, Annie Wai-Ling Cheung and Wenzhe Liu. Their work appears in journals such as Frontiers in Public Health, BMC Geriatrics, International Journal of Environmental Research and Public Health, Frontiers in Plant Science and International Journal for Equity in 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.

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