Ji An
Impact in
- Health top 1%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
- Health 6
- Vaccine Coverage and Hesitancy 6
-
- Statistical Methods and Bayesian Inference 1
- Co-authors
- Gregory R. HancockVicki S. FreimuthAmelia JamisonSandra Crouse QuinnDaniel McNeishDonald MusaKaren Hilyard
- Journals
- Vaccine (3 papers)Measurement Interdisciplinary Research and Perspectives (1 paper)Journal of Personality Assessment (1 paper)Educational Measurement Issues and Practice (1 paper)SSM - Population Health (1 paper)
- Partner nations
- United States
In The Last Decade
Ji An
9 papers receiving 963 citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Health 608
- Modeling and Simulation 125
- Infectious Diseases 183
- Applied Psychology 41
- Sociology and Political Science 315
Countries citing papers authored by Ji An
This map shows the geographic impact of Ji An'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 Ji An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji An more than expected).
Fields of papers citing papers by Ji An
This network shows the impact of papers produced by Ji An. 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 Ji An. The network helps show where Ji An may publish in the future.
Co-authorship network
The 7 scholars most cited alongside Ji An, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 46 | |
| 2 | Measuring vaccine hesitancy, confidence, trust and flu vaccine uptake: Results of a national survey of White and African American adults Hit paper breakdown → | 2019 | 220 |
| 3 | 2018 | 12 | |
| 4 | 2017 | 159 | |
| 5 | 2017 | 129 | |
| 6 | 2017 | 55 | |
| 7 | 2017 | 67 | |
| 8 | 2017 | 58 | |
| 9 | The Thorny Relation Between Measurement Quality and Fit Index Cutoffs in Latent Variable Models Hit paper breakdown → | 2017 | 250 |
About Ji An
Ji An is a scholar working on Health, Statistics and Probability, Management Science and Operations Research, Infectious Diseases and Epidemiology, having authored 9 papers that have together received 996 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (6 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Influenza Virus Research Studies (2 papers), Misinformation and Its Impacts (2 papers), Statistical Methods and Bayesian Inference (1 paper), Respiratory viral infections research (1 paper), Advanced Statistical Modeling Techniques (1 paper) and Diverse Approaches in Healthcare and Education Studies (1 paper). The work is most often cited by research in Health (608 citations), Modeling and Simulation (125 citations), Infectious Diseases (183 citations), Applied Psychology (41 citations) and Sociology and Political Science (315 citations). Ji An has collaborated with scholars based in United States. Frequent co-authors include Gregory R. Hancock, Vicki S. Freimuth, Amelia Jamison, Sandra Crouse Quinn, Daniel McNeish, Donald Musa and Karen Hilyard. Their work appears in journals such as Vaccine, Measurement Interdisciplinary Research and Perspectives, Journal of Personality Assessment, Educational Measurement Issues and Practice and SSM - Population 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.