Junyu Jiao
Impact in
- Automotive Engineering top 5%
- Advanced Battery Technologies Research
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- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Advanced battery technologies research
Papers in
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- Advancements in Battery Materials 10
- Advanced Battery Materials and Technologies 9
- Semiconductor materials and devices 1
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- Graphene research and applications 3
- Machine Learning in Materials Science 2
- ZnO doping and properties 1
- Co-authors
- Zhaoxiang Wang (4 shared papers)Liquan Chen (4 shared papers)Chuying Ouyang (5 shared papers)Jiaxin Zheng (6 shared papers)Yao Jiang (5 shared papers)Chi Fang (4 shared papers)Xuefeng Wang (1 shared paper)Yejing Li (1 shared paper)
In The Last Decade
Junyu Jiao
10 papers receiving 307 citations
Peers
Comparison fields: 5 of 27
- Automotive Engineering 149
- Electrical and Electronic Engineering 280
- Electronic, Optical and Magnetic Materials 41
- Materials Chemistry 71
- Mechanical Engineering 26
Countries citing papers authored by Junyu Jiao
This map shows the geographic impact of Junyu Jiao'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 Junyu Jiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyu Jiao more than expected).
Fields of papers citing papers by Junyu Jiao
This network shows the impact of papers produced by Junyu Jiao. 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 Junyu Jiao. The network helps show where Junyu Jiao may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyu Jiao, 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 | 2016 | 70 | |
| 2 | 2020 | 57 | |
| 3 | 2022 | 43 | |
| 4 | 2022 | 39 | |
| 5 | 2022 | 38 | |
| 6 | 2023 | 24 | |
| 7 | 2018 | 15 | |
| 8 | 2023 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2020 | 8 |
About Junyu Jiao
Junyu Jiao is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Automotive Engineering, Electronic, Optical and Magnetic Materials and Infectious Diseases, having authored 10 papers that have together received 315 indexed citations. Recurring topics across this work include Advancements in Battery Materials (10 papers), Advanced Battery Materials and Technologies (9 papers), Advanced Battery Technologies Research (3 papers), Graphene research and applications (3 papers), Machine Learning in Materials Science (2 papers), ZnO doping and properties (1 paper), Semiconductor materials and devices (1 paper) and Supercapacitor Materials and Fabrication (1 paper). The work is most often cited by research in Automotive Engineering (149 citations), Electrical and Electronic Engineering (280 citations), Electronic, Optical and Magnetic Materials (41 citations), Materials Chemistry (71 citations) and Mechanical Engineering (26 citations). Junyu Jiao has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Zhaoxiang Wang, Liquan Chen, Chuying Ouyang, Jiaxin Zheng, Yao Jiang, Chi Fang, Xuefeng Wang, Yejing Li, Liyuan Sheng and Bo Xu. Their work appears in journals such as Applied Surface Science, Cell Reports Physical Science, Advanced Energy Materials, Advanced Materials Interfaces and Acta Materialia.
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.