Bin Lv
Impact in
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
- Instrumentation top 10%
Papers in ⓘ
-
- Transportation Planning and Optimization 9
-
- Autonomous Vehicle Technology and Safety 7
- Vehicle emissions and performance 4
- Co-authors
- Jianqing Wu (12 shared papers)Hao Xu (8 shared papers)Meng Zhang (3 shared papers)Zhongmin Tang (3 shared papers)Wenbo Bu (3 shared papers)Han Wang (2 shared papers)Yongsheng Zhang (3 shared papers)Yuan Tian (5 shared papers)
- Journals
- IEEE Access (6 papers)Sustainability (4 papers)IEEE Sensors Journal (2 papers)BioResources (2 papers)Optics Express (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Bin Lv
66 papers receiving 950 citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Automotive Engineering 160
- Instrumentation 31
- Environmental Engineering 121
- Biomedical Engineering 330
- Biomaterials 78
Countries citing papers authored by Bin Lv
This map shows the geographic impact of Bin 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 Bin Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Lv more than expected).
Fields of papers citing papers by Bin Lv
This network shows the impact of papers produced by Bin 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 Bin Lv. The network helps show where Bin Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 144 | |
| 2 | 2018 | 120 | |
| 3 | 2017 | 84 | |
| 4 | 2022 | 81 | |
| 5 | 2019 | 61 | |
| 6 | Epidemiological trends of subarachnoid hemorrhage at global, regional, and national level: a trend analysis study from 1990 to 2021 Hit paper breakdown → | 2024 | 59 |
| 7 | 2019 | 52 | |
| 8 | 2019 | 28 | |
| 9 | 2019 | 26 | |
| 10 | 2019 | 26 | |
| 11 | 2022 | 24 | |
| 12 | 2010 | 21 | |
| 13 | 2015 | 20 | |
| 14 | 2019 | 19 | |
| 15 | 2023 | 16 | |
| 16 | 2023 | 14 | |
| 17 | 2023 | 13 | |
| 18 | 2020 | 13 | |
| 19 | 2014 | 12 | |
| 20 | 2019 | 12 |
About Bin Lv
Bin Lv is a scholar working on Transportation, Automotive Engineering, Energy Engineering and Power Technology, Safety, Risk, Reliability and Quality and Instrumentation, having authored 78 papers that have together received 967 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (9 papers), Transportation Planning and Optimization (9 papers), Autonomous Vehicle Technology and Safety (7 papers), Traffic Prediction and Management Techniques (5 papers), Traffic and Road Safety (5 papers), Wood Treatment and Properties (5 papers), Traffic control and management (5 papers) and Vehicle emissions and performance (4 papers). The work is most often cited by research in Automotive Engineering (160 citations), Instrumentation (31 citations), Environmental Engineering (121 citations), Biomedical Engineering (330 citations) and Biomaterials (78 citations). Bin Lv has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jianqing Wu, Hao Xu, Meng Zhang, Zhongmin Tang, Wenbo Bu, Han Wang, Yongsheng Zhang, Yuan Tian, Xiangpeng Zheng and Yichen Zheng. Their work appears in journals such as IEEE Access, Sustainability, IEEE Sensors Journal, BioResources and Optics Express.
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.