Xinran Lu
Impact in
- Health top 5%
- Vaccine Coverage and Hesitancy
- Environmental Engineering top 10%
- Environmental Impact and Sustainability
Papers in
- Health 3
- Vaccine Coverage and Hesitancy 3
-
- COVID-19 epidemiological studies 2
- Co-authors
- Qiang Du (3 shared papers)Yinzi Jin (3 shared papers)Yao Yao (2 shared papers)Jiao Wu (1 shared paper)Xiao Han (1 shared paper)Li Li (2 shared papers)Yun Lyu (2 shared papers)Hai Fang (2 shared papers)
- Journals
- Vaccines (2 papers)Transportation Research Part D Transport and Environment (1 paper)JAMA Internal Medicine (1 paper)Global Health Research and Policy (1 paper)npj Digital Medicine (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xinran Lu
13 papers receiving 541 citations
Xinran Lu's Hit Papers
Peers
Comparison fields: 5 of 85
- Health 169
- Environmental Engineering 138
- Modeling and Simulation 42
- Transportation 35
- Automotive Engineering 63
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 | 2019 | 132 | |
| 2 | 2021 | 127 | |
| 3 | Digital exclusion and functional dependence in older people: Findings from five longitudinal cohort studies Hit paper breakdown → | 2022 | 99 |
| 4 | 2021 | 56 | |
| 5 | 2018 | 47 | |
| 6 | 2018 | 27 | |
| 7 | 2024 | 25 | |
| 8 | 2020 | 11 | |
| 9 | 2021 | 9 | |
| 10 | 2024 | 8 | |
| 11 | 2025 | 5 | |
| 12 | 2025 | 3 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 0 |
About Xinran Lu
Xinran Lu is a scholar working on Health, Modeling and Simulation, Demography, General Health Professions and Economics and Econometrics, having authored 14 papers that have together received 550 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (3 papers), Energy, Environment, Economic Growth (3 papers), Environmental Impact and Sustainability (2 papers), COVID-19 epidemiological studies (2 papers), Technology Use by Older Adults (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Aging and Gerontology Research (1 paper) and Mobile Health and mHealth Applications (1 paper). The work is most often cited by research in Health (169 citations), Environmental Engineering (138 citations), Modeling and Simulation (42 citations), Transportation (35 citations) and Automotive Engineering (63 citations). Xinran Lu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qiang Du, Yinzi Jin, Yao Yao, Jiao Wu, Xiao Han, Li Li, Yun Lyu, Hai Fang, Xiaozhen Lai and Rize Jing. Their work appears in journals such as Vaccines, Transportation Research Part D Transport and Environment, JAMA Internal Medicine, Global Health Research and Policy and npj Digital Medicine.
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.