Li-Bin Shi
- Materials Chemistry top 5%
- ZnO doping and properties 16
- 2D Materials and Applications 12
- Graphene research and applications 11
- MXene and MAX Phase Materials 9
- Copper-based nanomaterials and applications 8
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- Magnetic and transport properties of perovskites and related materials 6
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- Perovskite Materials and Applications 11
- Gas Sensing Nanomaterials and Sensors 7
Li-Bin Shi
49 papers receiving 853 citations
Peers
Comparison fields: 5 of 35
- Materials Chemistry 769
- Electronic, Optical and Magnetic Materials 130
- Electrical and Electronic Engineering 384
- Polymers and Plastics 50
- Condensed Matter Physics 41
Countries citing papers authored by Li-Bin Shi
This map shows the geographic impact of Li-Bin Shi'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 Li-Bin Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li-Bin Shi more than expected).
Fields of papers citing papers by Li-Bin Shi
This network shows the impact of papers produced by Li-Bin Shi. 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 Li-Bin Shi. The network helps show where Li-Bin Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Li-Bin Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 8 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 17 | |
| 7 | 2020 | 62 | |
| 8 | 2020 | 17 | |
| 9 | 2019 | 43 | |
| 10 | 2018 | 19 | |
| 11 | 2018 | 115 | |
| 12 | 2018 | 70 | |
| 13 | 2017 | 8 | |
| 14 | 2017 | 4 | |
| 15 | 2017 | 31 | |
| 16 | 2013 | 15 | |
| 17 | Simulation on Conversion Efficiency of Solar Cells with Different Amorphous Silicon/Germanium Absorber Layer Structures | 2012 | 2 |
| 18 | 2012 | 8 | |
| 19 | 2010 | 5 | |
| 20 | 2008 | 3 |
About Li-Bin Shi
Li-Bin Shi is a scholar working on Materials Chemistry, Condensed Matter Physics, Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 52 papers that have together received 881 indexed citations. Recurring topics across this work include ZnO doping and properties (16 papers), 2D Materials and Applications (12 papers), Graphene research and applications (11 papers), Perovskite Materials and Applications (11 papers), MXene and MAX Phase Materials (9 papers), Copper-based nanomaterials and applications (8 papers), Gas Sensing Nanomaterials and Sensors (7 papers) and Magnetic and transport properties of perovskites and related materials (6 papers). The work is most often cited by research in Materials Chemistry (769 citations), Electronic, Optical and Magnetic Materials (130 citations), Electrical and Electronic Engineering (384 citations), Polymers and Plastics (50 citations) and Condensed Matter Physics (41 citations). Li-Bin Shi has collaborated with scholars based in China, Finland and Mongolia. Frequent co-authors include Haikuan Dong, Shuo Cao, Ping Qian, Qi You, Xiao‐Ming Xiu, Mei Yang, Yanyan Zhang, Kai-Cheng Zhang, Ye Su and Qi Meng. Their work appears in journals such as Journal of Magnetism and Magnetic Materials, Applied Surface Science, Journal of Applied Physics, Chinese Physics Letters and Journal of Physics Condensed Matter.
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.