Ji An
Impact in
- Health top 1%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
- Health 5
- Vaccine Coverage and Hesitancy 5
-
- Misinformation and Its Impacts 1
- Co-authors
- Gregory R. Hancock (9 shared papers)Vicki S. Freimuth (6 shared papers)Sandra Crouse Quinn (6 shared papers)Amelia Jamison (6 shared papers)Daniel McNeish (1 shared paper)Donald Musa (3 shared papers)Karen Hilyard (1 shared paper)
- Journals
- Vaccine (3 papers)Journal of Personality Assessment (1 paper)Health Education Research (1 paper)Measurement Interdisciplinary Research and Perspectives (1 paper)SSM - Population Health (1 paper)
- Partner nations
- United States
In The Last Decade
Ji An
9 papers receiving 1.0k citations
Ji An's Hit Papers
Peers
Comparison fields: 5 of 92
- Health 528
- Modeling and Simulation 91
- Applied Psychology 34
- Infectious Diseases 102
- Sociology and Political Science 269
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-authors
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 | The Thorny Relation Between Measurement Quality and Fit Index Cutoffs in Latent Variable Models Hit paper breakdown → | 2017 | 269 |
| 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 | 230 |
| 3 | 2017 | 167 | |
| 4 | 2017 | 135 | |
| 5 | 2017 | 68 | |
| 6 | 2017 | 62 | |
| 7 | 2017 | 57 | |
| 8 | 2020 | 49 | |
| 9 | 2018 | 13 |
About Ji An
Ji An is a scholar working on Health, Sociology and Political Science, Management Science and Operations Research, Statistics and Probability and Computer Networks and Communications, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (5 papers), Psychometric Methodologies and Testing (1 paper), Diverse Approaches in Healthcare and Education Studies (1 paper), Psychology of Moral and Emotional Judgment (1 paper), Influenza Virus Research Studies (1 paper), Statistical Methods and Bayesian Inference (1 paper), Advanced Statistical Modeling Techniques (1 paper) and Misinformation and Its Impacts (1 paper). The work is most often cited by research in Health (528 citations), Modeling and Simulation (91 citations), Applied Psychology (34 citations), Infectious Diseases (102 citations) and Sociology and Political Science (269 citations). Ji An has collaborated with scholars based in United States. Frequent co-authors include Gregory R. Hancock, Vicki S. Freimuth, Sandra Crouse Quinn, Amelia Jamison, Daniel McNeish, Donald Musa and Karen Hilyard. Their work appears in journals such as Vaccine, Journal of Personality Assessment, Health Education Research, Measurement Interdisciplinary Research and Perspectives 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.