Bian Liu

2.0k total citations
38 papers, 1.5k citations indexed

About

Bian Liu is a scholar working on Materials Chemistry, Molecular Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Bian Liu has authored 38 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Materials Chemistry, 9 papers in Molecular Biology and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Bian Liu's work include Carbon Nanotubes in Composites (9 papers), Force Microscopy Techniques and Applications (6 papers) and Graphene research and applications (5 papers). Bian Liu is often cited by papers focused on Carbon Nanotubes in Composites (9 papers), Force Microscopy Techniques and Applications (6 papers) and Graphene research and applications (5 papers). Bian Liu collaborates with scholars based in China, United States and Singapore. Bian Liu's co-authors include Keh‐Chih Hwang, Huajian Gao, Zuoqi Zhang, Stephen C. Kowalczykowski, G. Ravichandran, Yong Huang, Hanqing Jiang, Yue Huang, Liying Jiang and Xiaoqiao He and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Bian Liu

37 papers receiving 1.5k citations

Peers

Bian Liu
Comparison fields: 5 of 112
  • Materials Chemistry 627
  • Molecular Biology 340
  • Mechanics of Materials 331
  • Biomedical Engineering 290
  • Mechanical Engineering 276
Replace Hiroyuki Mayama with:
Hiroyuki Mayama Japan
Ille C. Gebeshuber Austria
Xiaodong Wan China
K. Y. Suh South Korea
Melburne C. LeMieux United States
Xianqiao Wang United States
Tianzhun Wu China
Oliver Bäumchen Germany
Ana Ruiz Italy
Georges Debrégeas France
Hiroyuki Mayama Japan View profile →
Citations per field, relative to Bian Liu
Bian Liu · 1×
Citations per year, relative to Bian Liu
Bian Liu · 1×

Countries citing papers authored by Bian Liu

Since Specialization
Citations

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

Fields of papers citing papers by Bian Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bian Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Bian Liu. A scholar is included among the top collaborators of Bian Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bian Liu. Bian Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 37
4 13
5 16
6 22
7 71
8
Storage, Processing, and Preparation Methods for China's Returned Lunar Samples
2
9 70
10 48
11 2
12 27
13 71
14 1
15 16
16 35
17 107
18 155
19 43
20 290

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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