Bin Lv

66 papers receiving 960 citations

Bin Lv's Hit Papers

Epidemiological trends of subarachnoid hemorrhage at global, regional, and national level: a trend analysis study from 1990 to 2021 2024 · 67 citations
670+1Years since publication204060

Peers

Bin Lv
Comparison fields: 5 of 120
  • Automotive Engineering 140
  • Instrumentation 32
  • Environmental Engineering 116
  • Biomedical Engineering 337
  • Biomaterials 78
Replace Changjun Chen with:
Changjun Chen China
Zhiling Wang China
Zhihao Liang China
Yanxi Zhang China
Xi Zhang China
Thomas Schumacher United States
Jianjian Sun China
Yahui Wang China
Xinglin Zhou China
Chong Tian China
Bin Lv relative to Changjun Chen China Changjun Chen's profile →
Citations per field
00.5×2.9×
Changjun Chen · 1×
Citations per year

Countries citing papers authored by Bin Lv

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Bin Lv Line = papers co-authored together Bin Lv links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019147
2 2018120
3 202289
4 201784
5
Epidemiological trends of subarachnoid hemorrhage at global, regional, and national level: a trend analysis study from 1990 to 2021
Hit paper breakdown →
202467
6 201962
7 201956
8 201928
9 201928
10 202225
11 201023
12 201522
13 202317
14 202316
15 202015
16 201414
17 201913
18 202313
19 202210
20 20248

About Bin Lv

Bin Lv is a scholar working on Civil and Structural Engineering, Automotive Engineering, Building and Construction, Computer Networks and Communications and Environmental Engineering, having authored 79 papers that have together received 973 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 (6 papers), Traffic Prediction and Management Techniques (5 papers), Wood Treatment and Properties (5 papers), Spectroscopy and Chemometric Analyses (4 papers), Energy Efficient Wireless Sensor Networks (4 papers) and Traffic control and management (4 papers). The work is most often cited by research in Automotive Engineering (140 citations), Instrumentation (32 citations), Environmental Engineering (116 citations), Biomedical Engineering (337 citations) and Biomaterials (78 citations). Bin Lv has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jianqing Wu, Wenbo Bu, Zhongmin Tang, Meng Zhang, Hao Xu, Han Wang, Yuan Tian, Yongsheng Zhang, Xiangpeng Zheng and Yichen Zheng. Their work appears in journals such as Sustainability, IEEE Access, IEEE Sensors Journal, BioResources and IET Intelligent Transport Systems.

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.

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