Lin Lv
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Advanced battery technologies research 6
- Advanced Memory and Neural Computing 3
-
- Catalytic Processes in Materials Science 10
- Co-authors
- Guobao Song (5 shared papers)Jingwen Chen (3 shared papers)Xinyue Zhao (4 shared papers)Houzhao Wan (7 shared papers)Baichang Zhong (1 shared paper)Yue Chen (1 shared paper)Xiaofan Liu (1 shared paper)Mingchu Li (1 shared paper)
- Journals
- Journal of Tissue Viability (3 papers)Environmental Science & Technology (3 papers)Intensive and Critical Care Nursing (2 papers)The Science of The Total Environment (2 papers)Journal of Cleaner Production (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Lin Lv
83 papers receiving 730 citations
Peers
Comparison fields: 5 of 141
- Modeling and Simulation 23
- Catalysis 35
- Renewable Energy, Sustainability and the Environment 68
- Computer Science Applications 20
- Occupational Therapy 12
Countries citing papers authored by Lin Lv
This map shows the geographic impact of Lin 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 Lin Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Lv more than expected).
Fields of papers citing papers by Lin Lv
This network shows the impact of papers produced by Lin 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 Lin Lv. The network helps show where Lin Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 81 | |
| 2 | 2020 | 51 | |
| 3 | 2021 | 39 | |
| 4 | 2017 | 39 | |
| 5 | 2023 | 37 | |
| 6 | 2022 | 34 | |
| 7 | 2022 | 27 | |
| 8 | 2024 | 19 | |
| 9 | 2015 | 18 | |
| 10 | 2021 | 17 | |
| 11 | 2023 | 17 | |
| 12 | 2022 | 13 | |
| 13 | 2023 | 13 | |
| 14 | 2020 | 13 | |
| 15 | 2014 | 12 | |
| 16 | 2022 | 12 | |
| 17 | 2006 | 12 | |
| 18 | 2016 | 11 | |
| 19 | 2018 | 11 | |
| 20 | 2023 | 10 |
About Lin Lv
Lin Lv is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Mechanical Engineering, Molecular Biology and Artificial Intelligence, having authored 96 papers that have together received 737 indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (10 papers), Pressure Ulcer Prevention and Management (6 papers), Advanced battery technologies research (6 papers), Electrocatalysts for Energy Conversion (6 papers), Toxic Organic Pollutants Impact (5 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Industrial Gas Emission Control (4 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Modeling and Simulation (23 citations), Catalysis (35 citations), Renewable Energy, Sustainability and the Environment (68 citations), Computer Science Applications (20 citations) and Occupational Therapy (12 citations). Lin Lv has collaborated with scholars based in China, United States and France. Frequent co-authors include Guobao Song, Jingwen Chen, Xinyue Zhao, Houzhao Wan, Baichang Zhong, Yue Chen, Xiaofan Liu, Mingchu Li, Xinpei Lu and Li Qiu. Their work appears in journals such as Journal of Tissue Viability, Environmental Science & Technology, Intensive and Critical Care Nursing, The Science of The Total Environment and Journal of Cleaner Production.
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.