Lü Xi
Impact in
- Statistics and Probability top 5%
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
Papers in
-
- Urban Green Space and Health 5
-
- Statistical Methods and Inference 3
- Co-authors
- Xiaofei Xie (2 shared papers)Xiaoxuan Liu (4 shared papers)Yan Yang (2 shared papers)Hongping Xiang (4 shared papers)Jiahui Su (3 shared papers)Cen Wu (5 shared papers)Eckart Lange (6 shared papers)Xiaowei Wang (2 shared papers)
- Journals
- Urban forestry & urban greening (2 papers)Journal of Applied Polymer Science (1 paper)IEEE Access (1 paper)Cities (1 paper)Progress in Organic Coatings (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lü Xi
45 papers receiving 587 citations
Peers
Comparison fields: 5 of 134
- Statistics and Probability 51
- Marketing 39
- Polymers and Plastics 57
- Molecular Medicine 18
- Applied Psychology 17
Countries citing papers authored by Lü Xi
This map shows the geographic impact of Lü Xi'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 Lü Xi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lü Xi more than expected).
Fields of papers citing papers by Lü Xi
This network shows the impact of papers produced by Lü Xi. 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 Lü Xi. The network helps show where Lü Xi may publish in the future.
Co-authors
The 25 scholars most cited alongside Lü Xi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 64 | |
| 2 | 2016 | 63 | |
| 3 | 2017 | 42 | |
| 4 | 2024 | 40 | |
| 5 | 2021 | 32 | |
| 6 | 2014 | 32 | |
| 7 | 2019 | 32 | |
| 8 | 2015 | 31 | |
| 9 | 2017 | 30 | |
| 10 | 2021 | 26 | |
| 11 | 2015 | 20 | |
| 12 | 2021 | 17 | |
| 13 | 2021 | 17 | |
| 14 | 2023 | 17 | |
| 15 | 2024 | 15 | |
| 16 | 2025 | 13 | |
| 17 | 2019 | 10 | |
| 18 | 2020 | 9 | |
| 19 | 2023 | 9 | |
| 20 | 2014 | 9 |
About Lü Xi
Lü Xi is a scholar working on Health, Toxicology and Mutagenesis, Statistics and Probability, Human-Computer Interaction, Genetics and Sensory Systems, having authored 50 papers that have together received 610 indexed citations. Recurring topics across this work include Urban Green Space and Health (5 papers), Genetic Associations and Epidemiology (4 papers), Advanced Polymer Synthesis and Characterization (3 papers), Genetic and phenotypic traits in livestock (3 papers), Statistical Methods and Inference (3 papers), Optical Network Technologies (3 papers), Synthesis and properties of polymers (2 papers) and Photopolymerization techniques and applications (2 papers). The work is most often cited by research in Statistics and Probability (51 citations), Marketing (39 citations), Polymers and Plastics (57 citations), Molecular Medicine (18 citations) and Applied Psychology (17 citations). Lü Xi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaofei Xie, Xiaoxuan Liu, Yan Yang, Hongping Xiang, Jiahui Su, Cen Wu, Eckart Lange, Xiaowei Wang, Yanyan Cui and Inbal Billie Nahum-Shani. Their work appears in journals such as Urban forestry & urban greening, Journal of Applied Polymer Science, IEEE Access, Cities and Progress in Organic Coatings.
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.