Kuang Yu
- Electrical and Electronic Engineering top 5%
- Materials Chemistry top 5%
- Automotive Engineering top 2%
- Renewable Energy, Sustainability and the Environment top 5%
- Inorganic Chemistry top 5%
- Co-authors
- Emily A. CarterJ. R. SchmidtJesse G. McDanielGuangmin ZhouHui–Ming ChengJiabin MaAlexander J. TkalychRipeng Luo
- Topics
- Machine Learning in Materials Science (13 papers)Advanced Battery Materials and Technologies (10 papers)Metal-Organic Frameworks: Synthesis and Applications (10 papers)
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Kuang Yu
70 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Electrical and Electronic Engineering 1.2k
- Materials Chemistry 948
- Automotive Engineering 366
- Renewable Energy, Sustainability and the Environment 318
- Inorganic Chemistry 305
Countries citing papers authored by Kuang Yu
This map shows the geographic impact of Kuang Yu'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 Kuang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuang Yu more than expected).
Fields of papers citing papers by Kuang Yu
This network shows the impact of papers produced by Kuang Yu. 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 Kuang Yu. The network helps show where Kuang Yu may publish in the future.
Co-authorship network of co-authors of Kuang Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Kuang Yu. A scholar is included among the top collaborators of Kuang Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kuang Yu. Kuang Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 19 | |
| 11 | 42 | |
| 12 | 5 | |
| 13 | 39 | |
| 14 | 1 | |
| 15 | 15 | |
| 16 | Constructing a Stable Interface Layer by Tailoring Solvation Chemistry in Carbonate Electrolytes for High‐Performance Lithium‐Metal Batteriesbreakdown → | 281 |
| 17 | 16 | |
| 18 | 18 | |
| 19 | 35 | |
| 20 | 24 |
About Kuang Yu
Kuang Yu is a scholar working on Materials Chemistry, Inorganic Chemistry and Catalysis, having authored 77 papers that have together received 2.4k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (13 papers), Advanced Battery Materials and Technologies (10 papers) and Metal-Organic Frameworks: Synthesis and Applications (10 papers). The work is most often cited by research in Automotive Engineering (366 citations), Inorganic Chemistry (305 citations) and Electrical and Electronic Engineering (1.2k citations). Kuang Yu has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Emily A. Carter, J. R. Schmidt, Jesse G. McDaniel, Guangmin Zhou, Hui–Ming Cheng, Jiabin Ma, Alexander J. Tkalych, Ripeng Luo, Chuang Li and Zhihong Piao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters 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.