Bin Song

1.3k citations
43 papers · 1.0k · 1 hit paper · h-index 17

Impact in

Papers in

Bin Song

38 papers receiving 1.0k citations

Hit Papers

Energy-absorption characteristics of a bionic honeycomb tubular nested structure inspired by bamboo under axial crushing 2018 · 248 citations
2480+2+5Years since publication50100150200

Peers

Bin Song
Comparison fields: 5 of 85
  • Condensed Matter Physics 159
  • Mechanical Engineering 473
  • Polymers and Plastics 139
  • Biomedical Engineering 305
  • Civil and Structural Engineering 143
Replace Jingyuan Qu with:
Jingyuan Qu China
Yachao Zhang China
M.H. Zhu China
T. J. Wang China
S. N. Khaderi India
James Hanna United States
Hyun‐Taek Lee South Korea
Tiefeng Li China
Lishuai Jin United States
Bin Song relative to Jingyuan Qu China Jingyuan Qu's profile →
Citations per field
00.5×1.5×2.3×
Jingyuan Qu · 1×
Citations per year

Countries citing papers authored by Bin Song

Since Specialization
Citations

This map shows the geographic impact of Bin Song'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 Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Song more than expected).

Fields of papers citing papers by Bin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bin Song. 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 Song. The network helps show where Bin Song may publish in the future.

Co-authors

The 25 scholars most cited alongside Bin Song, 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 Song Line = papers co-authored together Bin Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Energy-absorption characteristics of a bionic honeycomb tubular nested structure inspired by bamboo under axial crushing
Hit paper breakdown →
2018248
2 2017109
3 201685
4 202176
5 201850
6 201649
7 201747
8 201845
9 201934
10 202131
11 202128
12 202026
13 202125
14 201824
15 202021
16 202120
17 202118
18 201811
19 201810
20 202010

About Bin Song

Bin Song is a scholar working on Biomedical Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Condensed Matter Physics and Civil and Structural Engineering, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (11 papers), Micro and Nano Robotics (7 papers), Radio Frequency Integrated Circuit Design (4 papers), Orbital Angular Momentum in Optics (4 papers), Wireless Power Transfer Systems (4 papers), Advanced Power Amplifier Design (4 papers), Energy Harvesting in Wireless Networks (4 papers) and Vehicle Dynamics and Control Systems (3 papers). The work is most often cited by research in Condensed Matter Physics (159 citations), Mechanical Engineering (473 citations), Polymers and Plastics (139 citations), Biomedical Engineering (305 citations) and Civil and Structural Engineering (143 citations). Bin Song has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Dayong Hu, Yongzhen Wang, Zhiqiang Zhang, Linwei Dang, Lin Feng, Xue Bai, Songbai He, Weimin Shi, Deyuan Zhang and Yuguo Dai. Their work appears in journals such as Lab on a Chip, Composite Structures, Surface Topography Metrology and Properties, Chinese Journal of Electrical Engineering and IEEE Transactions on Industrial Electronics.

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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