Xun Lu
Impact in
- Polymers and Plastics top 2%
- Polymer composites and self-healing
- Natural Fiber Reinforced Composites
- Biomaterials top 1%
- Nanoparticle-Based Drug Delivery
- biodegradable polymer synthesis and properties
Papers in
-
- Polymer composites and self-healing 11
- Natural Fiber Reinforced Composites 10
-
- Advanced biosensing and bioanalysis techniques 7
- Co-authors
- Halbert White (6 shared papers)Liangjun Su (14 shared papers)Yilin Yang (4 shared papers)Jiahui Zhou (5 shared papers)Min Zhi Rong (10 shared papers)Jiangchao Qian (3 shared papers)Ming Qiu Zhang (9 shared papers)Gui Yang (8 shared papers)
- Journals
- Journal of Econometrics (9 papers)Econometric Theory (5 papers)Journal of Applied Polymer Science (3 papers)PLoS ONE (3 papers)Biosensors and Bioelectronics (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xun Lu
121 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 178
- Polymers and Plastics 848
- Biomaterials 744
- Cancer Research 284
- Statistics and Probability 163
- Process Chemistry and Technology 52
Countries citing papers authored by Xun Lu
This map shows the geographic impact of Xun 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 Xun Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xun Lu more than expected).
Fields of papers citing papers by Xun Lu
This network shows the impact of papers produced by Xun 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 Xun Lu. The network helps show where Xun Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xun 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
Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 258 | |
| 2 | 2010 | 184 | |
| 3 | 2019 | 169 | |
| 4 | 2011 | 138 | |
| 5 | 2017 | 113 | |
| 6 | 2014 | 108 | |
| 7 | 2002 | 97 | |
| 8 | 2015 | 90 | |
| 9 | 2013 | 89 | |
| 10 | 2015 | 83 | |
| 11 | 2013 | 83 | |
| 12 | 2020 | 68 | |
| 13 | 2018 | 67 | |
| 14 | 2020 | 67 | |
| 15 | 2015 | 66 | |
| 16 | 2020 | 64 | |
| 17 | 2021 | 58 | |
| 18 | 2015 | 58 | |
| 19 | 2019 | 57 | |
| 20 | 2003 | 56 |
About Xun Lu
Xun Lu is a scholar working on Polymers and Plastics, Molecular Biology, Biomedical Engineering, Biomaterials and Economics and Econometrics, having authored 130 papers that have together received 3.4k indexed citations. Recurring topics across this work include Spatial and Panel Data Analysis (12 papers), Monetary Policy and Economic Impact (11 papers), Polymer composites and self-healing (11 papers), Natural Fiber Reinforced Composites (10 papers), Advanced biosensing and bioanalysis techniques (7 papers), Nanoparticle-Based Drug Delivery (7 papers), Statistical Methods and Inference (6 papers) and biodegradable polymer synthesis and properties (5 papers). The work is most often cited by research in Polymers and Plastics (848 citations), Biomaterials (744 citations), Cancer Research (284 citations), Statistics and Probability (163 citations) and Process Chemistry and Technology (52 citations). Xun Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Halbert White, Liangjun Su, Yilin Yang, Jiahui Zhou, Min Zhi Rong, Jiangchao Qian, Ming Qiu Zhang, Gui Yang, J. Justin Gooding and Changsheng Liu. Their work appears in journals such as Journal of Econometrics, Econometric Theory, Journal of Applied Polymer Science, PLoS ONE and Biosensors and Bioelectronics.
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.