Kathryn S. Campy

1.1k total citations
21 papers, 764 citations indexed

About

Kathryn S. Campy is a scholar working on Health, Epidemiology and Automotive Engineering. According to data from OpenAlex, Kathryn S. Campy has authored 21 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Health, 6 papers in Epidemiology and 5 papers in Automotive Engineering. Recurrent topics in Kathryn S. Campy's work include Vaccine Coverage and Hesitancy (6 papers), Influenza Virus Research Studies (4 papers) and Transportation and Mobility Innovations (4 papers). Kathryn S. Campy is often cited by papers focused on Vaccine Coverage and Hesitancy (6 papers), Influenza Virus Research Studies (4 papers) and Transportation and Mobility Innovations (4 papers). Kathryn S. Campy collaborates with scholars based in China, United States and Bangladesh. Kathryn S. Campy's co-authors include Min Zhou, Nan Kong, Lindu Zhao, Shujuan Qu, Song Wang, Song Wang, Xin Huang, Ge Xu, Song Wang and Fu Jia and has published in prestigious journals such as Computers in Human Behavior, Vaccine and Journal of Retailing and Consumer Services.

In The Last Decade

Kathryn S. Campy

20 papers receiving 737 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kathryn S. Campy China 14 184 178 164 139 105 21 764
Rosemary Davidson United Kingdom 12 76 0.4× 85 0.5× 208 1.3× 87 0.6× 16 0.2× 32 926
Hengchen Dai United States 19 366 2.0× 77 0.4× 400 2.4× 208 1.5× 41 0.4× 51 1.6k
Pouyan Esmaeilzadeh United States 20 148 0.8× 245 1.4× 425 2.6× 35 0.3× 29 0.3× 54 1.7k
Ge Xu China 5 85 0.5× 37 0.2× 106 0.6× 27 0.2× 40 0.4× 8 817
Si Ying Tan Singapore 11 27 0.1× 19 0.1× 107 0.7× 96 0.7× 50 0.5× 30 673
Sebastian Gurtner Germany 17 169 0.9× 116 0.7× 176 1.1× 22 0.2× 6 0.1× 33 912
Jie Xiong China 14 67 0.4× 94 0.5× 160 1.0× 9 0.1× 28 0.3× 46 685
Ashish Pandey India 16 42 0.2× 38 0.2× 70 0.4× 216 1.6× 54 0.5× 56 825

Countries citing papers authored by Kathryn S. Campy

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn S. Campy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathryn S. Campy. 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 Kathryn S. Campy. The network helps show where Kathryn S. Campy may publish in the future.

Co-authorship network of co-authors of Kathryn S. Campy

This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn S. Campy. A scholar is included among the top collaborators of Kathryn S. Campy 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 Kathryn S. Campy. Kathryn S. Campy 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
1.
Zhou, Min, et al.. (2025). Navigating the future: A longitudinal exploration of public acceptance of autonomous taxis from initial trials to stepwise habituation. Computers in Human Behavior. 169. 108678–108678. 5 indexed citations
2.
Zhou, Min, et al.. (2024). What drives the drivers away? An empirical study on the factors influencing the turnover intention of full-time online ride-hailing drivers in China. Transportation Research Part A Policy and Practice. 186. 104134–104134. 16 indexed citations
3.
Qu, Shujuan, et al.. (2024). Factors influencing Chinese doctors to use medical large language models. Digital Health. 10.
4.
Qu, Shujuan, Min Zhou, Kathryn S. Campy, & Wei He. (2024). Predictors of parental acceptance to live attenuated influenza vaccine for children. Human Vaccines & Immunotherapeutics. 20(1). 2356343–2356343. 4 indexed citations
5.
Qu, Shujuan, Min Zhou, Nan Kong, & Kathryn S. Campy. (2023). Factors influencing user acceptance of weight management apps among Chinese obese individuals during the COVID-19 pandemic. Health Policy and Technology. 12(2). 100758–100758. 4 indexed citations
6.
Qu, Shujuan, et al.. (2023). Determinants of parental self-reported uptake of influenza vaccination in preschool children during the COVID-19 pandemic. Human Vaccines & Immunotherapeutics. 19(3). 2268392–2268392. 6 indexed citations
7.
Qu, Shujuan, Min Zhou, Lindu Zhao, Kathryn S. Campy, & Mingyi Zhao. (2022). Barriers to Uptake Pneumonia Vaccines among Chinese Elderly. Iranian Journal of Public Health. 51(7). 1677–1678. 1 indexed citations
8.
9.
Zhou, Min, et al.. (2021). Characterizing Chinese consumers’ intention to use live e-commerce shopping. Technology in Society. 67. 101767–101767. 118 indexed citations
10.
Zhou, Min, et al.. (2021). Characterizing the motivational mechanism behind taxi driver’s adoption of electric vehicles for living: Insights from China. Transportation Research Part A Policy and Practice. 144. 134–152. 73 indexed citations
11.
Zhou, Min, et al.. (2020). Characterizing Wuhan residents’ mask-wearing intention at early stages of the COVID-19 pandemic. Patient Education and Counseling. 104(8). 1868–1877. 21 indexed citations
12.
Zhao, Mingyi, Haiyan Liu, Shujuan Qu, He Li, & Kathryn S. Campy. (2020). Factors associated with parental acceptance of influenza vaccination for their children: the evidence from four cities of China. Human Vaccines & Immunotherapeutics. 17(2). 457–464. 29 indexed citations
13.
Zhou, Min, Lindu Zhao, Nan Kong, et al.. (2019). Factors influencing behavior intentions to telehealth by Chinese elderly: An extended TAM model. International Journal of Medical Informatics. 126. 118–127. 124 indexed citations
14.
Zhou, Min, Nan Kong, Lindu Zhao, et al.. (2019). Understanding urban delivery drivers’ intention to adopt electric trucks in China. Transportation Research Part D Transport and Environment. 74. 65–81. 32 indexed citations
15.
Zhou, Min, Shujuan Qu, Lindu Zhao, et al.. (2019). Understanding psychological determinants to promote the adoption of general practitioner by Chinese elderly. Health Policy and Technology. 8(2). 128–136. 7 indexed citations
16.
Zhou, Min, et al.. (2019). Trust collapse caused by the Changsheng vaccine crisis in China. Vaccine. 37(26). 3419–3425. 45 indexed citations
17.
Zhou, Min, Lindu Zhao, Nan Kong, Kathryn S. Campy, & Shujuan Qu. (2018). What Caused Seriously Shortage of Chinese Nurses?. PubMed. 47(7). 1065–1067. 36 indexed citations
18.
Zhou, Min, Shujuan Qu, Lindu Zhao, Kathryn S. Campy, & Song Wang. (2018). Parental perceptions of human papillomavirus vaccination in central China: the moderating role of socioeconomic factors. Human Vaccines & Immunotherapeutics. 15(7-8). 1688–1696. 28 indexed citations
19.
Zhou, Min, Lindu Zhao, Nan Kong, et al.. (2018). Predicting behavioral intentions to children vaccination among Chinese parents: an extended TPB model. Human Vaccines & Immunotherapeutics. 14(11). 1–7. 17 indexed citations
20.
Zhou, Min, Lindu Zhao, Kathryn S. Campy, & Song Wang. (2017). Changing of China׳s health policy and Doctor–Patient relationship: 1949–2016. Health Policy and Technology. 6(3). 358–367. 46 indexed citations

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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