Yue Lv
Impact in
- Forestry top 10%
- Agroforestry and silvopastoral systems
- Agronomy and Crop Science top 10%
- Agronomic Practices and Intercropping Systems
Papers in
- Co-authors
- Xining Zhao (1 shared paper)Pute Wu (1 shared paper)Xiaoli Chen (1 shared paper)Charles Francis (1 shared paper)Xiujuan Cai (4 shared papers)Mingyan Yan (4 shared papers)Yinping Li (2 shared papers)Lu Zhou (1 shared paper)
- Journals
- International Journal of Biological Macromolecules (4 papers)Food Hydrocolloids (2 papers)PLoS ONE (2 papers)Environmental Pollution (1 paper)Pharmaceutics (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yue Lv
42 papers receiving 468 citations
Peers
Comparison fields: 5 of 97
- Forestry 29
- Agronomy and Crop Science 71
- Computational Mathematics 2
- Pathology and Forensic Medicine 45
- Hematology 26
Countries citing papers authored by Yue Lv
This map shows the geographic impact of Yue 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 Yue Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue Lv more than expected).
Fields of papers citing papers by Yue Lv
This network shows the impact of papers produced by Yue 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 Yue Lv. The network helps show where Yue Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Yue 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 76 | |
| 2 | 2019 | 55 | |
| 3 | 2024 | 33 | |
| 4 | 2010 | 28 | |
| 5 | 2023 | 22 | |
| 6 | 2022 | 22 | |
| 7 | 2023 | 22 | |
| 8 | 2014 | 22 | |
| 9 | 2024 | 19 | |
| 10 | 2023 | 15 | |
| 11 | 2024 | 13 | |
| 12 | 2023 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2020 | 9 | |
| 15 | 2023 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2017 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2023 | 7 | |
| 20 | 2022 | 7 |
About Yue Lv
Yue Lv is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Aerospace Engineering, Polymers and Plastics and Computer Networks and Communications, having authored 49 papers that have together received 479 indexed citations. Recurring topics across this work include Conducting polymers and applications (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), UAV Applications and Optimization (2 papers), Traffic control and management (2 papers), Proteins in Food Systems (2 papers), Polysaccharides and Plant Cell Walls (2 papers) and Transition Metal Oxide Nanomaterials (2 papers). The work is most often cited by research in Forestry (29 citations), Agronomy and Crop Science (71 citations), Computational Mathematics (2 citations), Pathology and Forensic Medicine (45 citations) and Hematology (26 citations). Yue Lv has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xining Zhao, Pute Wu, Xiaoli Chen, Charles Francis, Xiujuan Cai, Mingyan Yan, Yinping Li, Lu Zhou, Hong Liu and Huiping Shi. Their work appears in journals such as International Journal of Biological Macromolecules, Food Hydrocolloids, PLoS ONE, Environmental Pollution and Pharmaceutics.
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.