Guo Jun Ye
Impact in
- Materials Chemistry top 0.2%
- 2D Materials and Applications
- MXene and MAX Phase Materials
- Graphene research and applications
- Advanced Thermoelectric Materials and Devices
- Boron and Carbon Nanomaterials Research
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- Perovskite Materials and Applications
Papers in
-
- 2D Materials and Applications 6
- MXene and MAX Phase Materials 3
- Graphene research and applications 2
- Machine Learning in Materials Science 1
- Electronic and Structural Properties of Oxides 1
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- Perovskite Materials and Applications 4
- Journals
- Nature Nanotechnology (4 papers)Nano Letters (1 paper)ACS Applied Materials & Interfaces (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Guo Jun Ye
6 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Materials Chemistry 7.7k
- Electrical and Electronic Engineering 3.6k
- Renewable Energy, Sustainability and the Environment 799
- Electronic, Optical and Magnetic Materials 664
- Atomic and Molecular Physics, and Optics 1.1k
Countries citing papers authored by Guo Jun Ye
This map shows the geographic impact of Guo Jun Ye'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 Guo Jun Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo Jun Ye more than expected).
Fields of papers citing papers by Guo Jun Ye
This network shows the impact of papers produced by Guo Jun Ye. 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 Guo Jun Ye. The network helps show where Guo Jun Ye may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guo Jun Ye, 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 | 2018 | 44 | |
| 2 | 2018 | 25 | |
| 3 | Direct observation of the layer-dependent electronic structure in phosphorene Hit paper breakdown → | 2016 | 649 |
| 4 | 2016 | 352 | |
| 5 | 2015 | 263 | |
| 6 | Black phosphorus field-effect transistors Hit paper breakdown → | 2014 | 7114 |
About Guo Jun Ye
Guo Jun Ye is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering, Infectious Diseases and Organic Chemistry, having authored 6 papers that have together received 8.4k indexed citations. Recurring topics across this work include 2D Materials and Applications (6 papers), Perovskite Materials and Applications (4 papers), MXene and MAX Phase Materials (3 papers), Graphene research and applications (2 papers), Machine Learning in Materials Science (1 paper), Plasmonic and Surface Plasmon Research (1 paper) and Electronic and Structural Properties of Oxides (1 paper). The work is most often cited by research in Materials Chemistry (7.7k citations), Electrical and Electronic Engineering (3.6k citations), Renewable Energy, Sustainability and the Environment (799 citations), Electronic, Optical and Magnetic Materials (664 citations) and Atomic and Molecular Physics, and Optics (1.1k citations). Guo Jun Ye has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Xian Hui Chen, Yuanbo Zhang, Likai Li, Hua Wu, Xuedong Ou, Yijun Yu, Donglai Feng, Q. Q. Ge, Takashi Taniguchi and Kenji Watanabe. Their work appears in journals such as Nature Nanotechnology, Nano Letters and ACS Applied Materials & Interfaces.
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.