Xiaolan Lv
Impact in
- Plant Science top 10%
- Plant Surface Properties and Treatments
- Smart Agriculture and AI
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- Advanced Cellulose Research Studies
- Nanocomposite Films for Food Packaging
Papers in
-
- Plant Surface Properties and Treatments 18
- Smart Agriculture and AI 4
- Postharvest Quality and Shelf Life Management 3
- Ecology 5
- Remote Sensing in Agriculture 5
- Co-authors
- Liru Xia (3 shared papers)Min Wang (1 shared paper)Jing Liu (1 shared paper)Zongchun Bai (1 shared paper)Li Li (1 shared paper)Shilin Wang (5 shared papers)Shilin Wang (1 shared paper)Li Li (2 shared papers)
- Journals
- Frontiers in Plant Science (4 papers)Agronomy (3 papers)Applied Engineering in Agriculture (3 papers)Computers and Electronics in Agriculture (3 papers)Carbohydrate Polymers (2 papers)
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Xiaolan Lv
33 papers receiving 478 citations
Peers
Comparison fields: 5 of 97
- Plant Science 236
- Biomaterials 81
- Water Science and Technology 56
- Earth-Surface Processes 24
- Surfaces, Coatings and Films 13
Countries citing papers authored by Xiaolan Lv
This map shows the geographic impact of Xiaolan Lv'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 Xiaolan Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolan Lv more than expected).
Fields of papers citing papers by Xiaolan Lv
This network shows the impact of papers produced by Xiaolan Lv. 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 Xiaolan Lv. The network helps show where Xiaolan Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolan Lv, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 87 | |
| 2 | 2022 | 50 | |
| 3 | 2018 | 46 | |
| 4 | 2022 | 37 | |
| 5 | 2022 | 28 | |
| 6 | 2022 | 27 | |
| 7 | 2020 | 22 | |
| 8 | 2022 | 20 | |
| 9 | 2022 | 15 | |
| 10 | 2018 | 15 | |
| 11 | 2023 | 13 | |
| 12 | 2019 | 13 | |
| 13 | 2022 | 10 | |
| 14 | 2024 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2020 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2022 | 7 |
About Xiaolan Lv
Xiaolan Lv is a scholar working on Plant Science, Ecology, Global and Planetary Change, Civil and Structural Engineering and Electrical and Electronic Engineering, having authored 40 papers that have together received 486 indexed citations. Recurring topics across this work include Plant Surface Properties and Treatments (18 papers), Remote Sensing in Agriculture (5 papers), Plant Water Relations and Carbon Dynamics (4 papers), Aeolian processes and effects (4 papers), Soil Mechanics and Vehicle Dynamics (4 papers), Smart Agriculture and AI (4 papers), Postharvest Quality and Shelf Life Management (3 papers) and Electrohydrodynamics and Fluid Dynamics (3 papers). The work is most often cited by research in Plant Science (236 citations), Biomaterials (81 citations), Water Science and Technology (56 citations), Earth-Surface Processes (24 citations) and Surfaces, Coatings and Films (13 citations). Xiaolan Lv has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Liru Xia, Min Wang, Jing Liu, Zongchun Bai, Li Li, Shilin Wang, Shilin Wang, Li Li, Yongfu Zhao and Min Wang. Their work appears in journals such as Frontiers in Plant Science, Agronomy, Applied Engineering in Agriculture, Computers and Electronics in Agriculture and Carbohydrate Polymers.
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.