Bin Liu

15.7k citations
281 papers · 7.8k indexed · 4 hit papers · h-index 40

Impact in

Papers in

Bin Liu

244 papers receiving 7.7k citations

Hit Papers

Sensing Behavior of Atomically Thin-Layered MoS2 Transistors 2013 · 1.2k citations
1.2k20122026201620212505007501000

Peers

Bin Liu
Comparison fields: 5 of 176
  • Materials Chemistry 3.8k
  • Electronic, Optical and Magnetic Materials 1.1k
  • Electrical and Electronic Engineering 3.0k
  • Renewable Energy, Sustainability and the Environment 641
  • Water Science and Technology 518
Replace Long Zhou with:
Long Zhou China
Cheng Cheng China
Zhang Zhang China
Zhen Zhen China
Jun Wang China
M. Aslam India
Yurong Ma China
Qianqian Wang China
Dong Zhang China
Lei Li China
Bin Liu relative to Long Zhou China Long Zhou's profile →
Citations per field
00.5×4.0×
Long Zhou · 1×
Citations per year

Countries citing papers authored by Bin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Bin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20241
4 20240
5 202416
6 20240
7 20240
8 20241
9 20245
10 20242
11 20240
12 20243
13 20246
14 20244
15 20241
16 202341
17 20231
18 202328
19 201828
20 20171

About Bin Liu

Bin Liu is a scholar working on Electronic, Optical and Magnetic Materials, Health, Toxicology and Mutagenesis, Water Science and Technology, Materials Chemistry and Renewable Energy, Sustainability and the Environment, having authored 281 papers that have together received 7.8k indexed citations. Recurring topics across this work include Adsorption and biosorption for pollutant removal (16 papers), 2D Materials and Applications (13 papers), Nanoplatforms for cancer theranostics (11 papers), Electrocatalysts for Energy Conversion (11 papers), Perovskite Materials and Applications (11 papers), Supercapacitor Materials and Fabrication (9 papers), Luminescence Properties of Advanced Materials (9 papers) and Neurotransmitter Receptor Influence on Behavior (8 papers). The work is most often cited by research in Materials Chemistry (3.8k citations), Electronic, Optical and Magnetic Materials (1.1k citations), Electrical and Electronic Engineering (3.0k citations), Renewable Energy, Sustainability and the Environment (641 citations) and Water Science and Technology (518 citations). Bin Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Vinayak P. Dravid, C. N. R. Rao, Dattatray J. Late, H. S. S. Ramakrishna Matte, Aiming Yan, Jiajun Luo, Dean E. Dluzen, Sharmila N. Shirodkar, Daniel Charles and Umesh V. Waghmare. Their work appears in journals such as Advanced Functional Materials, Scientific Reports, ACS Applied Materials & Interfaces, ACS Nano and Advanced Materials.

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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