Bin Lv

516 citations
25 papers · 399 · h-index 11

Impact in

  • Biophysics top 5%
    • Electromagnetic Fields and Biological Effects
    • Functional Brain Connectivity Studies
    • Neural dynamics and brain function
    • EEG and Brain-Computer Interfaces

Papers in

Bin Lv

24 papers receiving 389 citations

Peers

Bin Lv
Comparison fields: 5 of 71
  • Biophysics 79
  • Cognitive Neuroscience 239
  • Radiology, Nuclear Medicine and Imaging 132
  • Neurology 32
  • Sensory Systems 16
Replace Jay Dubb with:
Jay Dubb United States
Takashi Amita Japan
Done‐Sik Yoo South Korea
Ernesto E. Vidal-Rosas United Kingdom
Shaunna Morris United States
Clifton Frilot United States
Yasunobu Ito Japan
Yrjö Häme United States
Zhongming Liu United States
Maja Rogić Vidaković Croatia
Bin Lv relative to Jay Dubb United States Jay Dubb's profile →
Citations per field
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Jay Dubb · 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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201075
2 201453
3 201735
4 201534
5 201628
6 201326
7 201325
8 201422
9 200821
10 201813
11 201410
12 201910
13 202210
14 20208
15 20126
16 20204
17 20244
18 20124
19 20093
20 20102

About Bin Lv

Bin Lv is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Biophysics, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health, having authored 25 papers that have together received 399 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (10 papers), Neural dynamics and brain function (8 papers), EEG and Brain-Computer Interfaces (6 papers), Electromagnetic Fields and Biological Effects (5 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Visual perception and processing mechanisms (3 papers), Heart Rate Variability and Autonomic Control (3 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Biophysics (79 citations), Cognitive Neuroscience (239 citations), Radiology, Nuclear Medicine and Imaging (132 citations), Neurology (32 citations) and Sensory Systems (16 citations). Bin Lv has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Tongning Wu, Lei Yang, Wenxiang Quan, Huiguang He, Zhiye Chen, Junfang Xian, Zhenchang Wang, Chang Su, Wentian Dong and Zhaohua Li. Their work appears in journals such as Bioelectromagnetics, Clinical Neurophysiology, NeuroImage, IEEE Intelligent Systems and European Journal of Radiology.

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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