Xinran Lu
Impact in
- Health top 5%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Mobile Health and mHealth Applications 2
- Health 4
- Vaccine Coverage and Hesitancy 3
- Co-authors
- Qiang Du (3 shared papers)Jiao Wu (1 shared paper)Xiao Han (1 shared paper)Yinzi Jin (3 shared papers)Yao Yao (2 shared papers)Xiaozhen Lai (2 shared papers)Li Li (2 shared papers)Yun Lyu (2 shared papers)
- Journals
- Vaccines (2 papers)Transportation Research Part D Transport and Environment (1 paper)Human Vaccines & Immunotherapeutics (1 paper)npj Digital Medicine (1 paper)BMC Nursing (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xinran Lu
12 papers receiving 473 citations
Xinran Lu's Hit Papers
Peers
Comparison fields: 5 of 93
- Health 196
- Modeling and Simulation 71
- Environmental Engineering 135
- Infectious Diseases 99
- Economics and Econometrics 142
Countries citing papers authored by Xinran Lu
This map shows the geographic impact of Xinran Lu'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 Xinran Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinran Lu more than expected).
Fields of papers citing papers by Xinran Lu
This network shows the impact of papers produced by Xinran Lu. 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 Xinran Lu. The network helps show where Xinran Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinran Lu, 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 | 2021 | 123 | |
| 2 | 2019 | 123 | |
| 3 | Digital exclusion and functional dependence in older people: Findings from five longitudinal cohort studies Hit paper breakdown → | 2022 | 72 |
| 4 | 2021 | 52 | |
| 5 | 2018 | 46 | |
| 6 | 2018 | 26 | |
| 7 | 2024 | 16 | |
| 8 | 2020 | 11 | |
| 9 | 2021 | 7 | |
| 10 | 2024 | 3 | |
| 11 | 2025 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 0 |
About Xinran Lu
Xinran Lu is a scholar working on General Health Professions, Health, Economics and Econometrics, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 13 papers that have together received 481 indexed citations. Recurring topics across this work include Energy, Environment, Economic Growth (3 papers), Vaccine Coverage and Hesitancy (3 papers), Environmental Impact and Sustainability (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 epidemiological studies (2 papers), Technology Use by Older Adults (2 papers), Mobile Health and mHealth Applications (2 papers) and Spatial and Panel Data Analysis (1 paper). The work is most often cited by research in Health (196 citations), Modeling and Simulation (71 citations), Environmental Engineering (135 citations), Infectious Diseases (99 citations) and Economics and Econometrics (142 citations). Xinran Lu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qiang Du, Jiao Wu, Xiao Han, Yinzi Jin, Yao Yao, Xiaozhen Lai, Li Li, Yun Lyu, Rize Jing and Haijun Zhang. Their work appears in journals such as Vaccines, Transportation Research Part D Transport and Environment, Human Vaccines & Immunotherapeutics, npj Digital Medicine and BMC Nursing.
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.