Yong Cai
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- Supercapacitor Materials and Fabrication 11
- Bioengineering top 5%
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- Advancements in Battery Materials 12
- Advanced Battery Materials and Technologies 10
- Advanced battery technologies research 7
- Gas Sensing Nanomaterials and Sensors 4
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- Numerical methods in engineering 5
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- Advanced Numerical Methods in Computational Mathematics 4
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- Topology Optimization in Engineering 4
- Co-authors
- Ming ZhangZongping ShaoBote ZhaoXiangyang CuiChangmiao ChenGuangyao LiTaihong WangBaohui Chen
- Cited by
- Electronic, Optical and Magnetic MaterialsBioengineeringElectrical and Electronic Engineering
- Journals
- Journal of Power Sources (1 paper)Nanoscale (1 paper)Computer Methods in Applied Mechanics and Engineering (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yong Cai
40 papers receiving 863 citations
Peers
Comparison fields: 5 of 55
- Electronic, Optical and Magnetic Materials 275
- Bioengineering 67
- Electrical and Electronic Engineering 577
- Statistics, Probability and Uncertainty 47
- Renewable Energy, Sustainability and the Environment 106
Countries citing papers authored by Yong Cai
This map shows the geographic impact of Yong Cai'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 Yong Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong Cai more than expected).
Fields of papers citing papers by Yong Cai
This network shows the impact of papers produced by Yong Cai. 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 Yong Cai. The network helps show where Yong Cai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yong Cai, 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 | 2024 | 15 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 25 | |
| 4 | 2023 | 50 | |
| 5 | 2023 | 13 | |
| 6 | 2022 | 28 | |
| 7 | 2021 | 1 | |
| 8 | 2020 | 28 | |
| 9 | 2019 | 61 | |
| 10 | 2019 | 19 | |
| 11 | 2019 | 2 | |
| 12 | 2019 | 49 | |
| 13 | 2019 | 5 | |
| 14 | 2018 | 12 | |
| 15 | 2018 | 11 | |
| 16 | Research and implementation of parallel particle swarm optimization based on CUDA | 2013 | 3 |
| 17 | 2013 | 52 | |
| 18 | 2013 | 67 | |
| 19 | 2007 | 97 | |
| 20 | Surface Reconstruction from Points Based on Support Vector Machine | 2007 | 3 |
About Yong Cai
Yong Cai is a scholar working on Bioengineering, Electronic, Optical and Magnetic Materials and Computational Mechanics, having authored 40 papers that have together received 877 indexed citations. Recurring topics across this work include Advancements in Battery Materials (12 papers), Supercapacitor Materials and Fabrication (11 papers), Advanced Battery Materials and Technologies (10 papers), Advanced battery technologies research (7 papers), Numerical methods in engineering (5 papers), Gas Sensing Nanomaterials and Sensors (4 papers), Advanced Numerical Methods in Computational Mathematics (4 papers) and Topology Optimization in Engineering (4 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (275 citations), Bioengineering (67 citations) and Electrical and Electronic Engineering (577 citations). Yong Cai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ming Zhang, Zongping Shao, Bote Zhao, Xiangyang Cui, Changmiao Chen, Guangyao Li, Taihong Wang, Baohui Chen, Meng‐Qiu Cai and Jie Wang. Their work appears in journals such as Journal of Power Sources, Nanoscale and Computer Methods in Applied Mechanics and Engineering.
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.