Yanan Cao
- Artificial Intelligence top 2%
- Renewable Energy, Sustainability and the Environment top 10%
- Electrical and Electronic Engineering
- Information Systems top 5%
- Control and Systems Engineering top 5%
- Co-authors
- Christopher L.E. SwartzJesus Flores‐CerrilloHui WangChuan ZhouLi GuoYanmin ShangBaoshan YangFei He
- Topics
- Topic Modeling (21 papers)Advanced Graph Neural Networks (14 papers)Natural Language Processing Techniques (13 papers)
- Cited by
- Artificial IntelligenceRenewable Energy, Sustainability and the EnvironmentStatistical and Nonlinear Physics
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yanan Cao
91 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Artificial Intelligence 481
- Renewable Energy, Sustainability and the Environment 241
- Electrical and Electronic Engineering 238
- Information Systems 230
- Control and Systems Engineering 199
Countries citing papers authored by Yanan Cao
This map shows the geographic impact of Yanan Cao'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 Yanan Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanan Cao more than expected).
Fields of papers citing papers by Yanan Cao
This network shows the impact of papers produced by Yanan Cao. 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 Yanan Cao. The network helps show where Yanan Cao may publish in the future.
Co-authorship network of co-authors of Yanan Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Yanan Cao. A scholar is included among the top collaborators of Yanan Cao 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 Yanan Cao. Yanan Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 11 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 34 | |
| 7 | Oxophilic Ce single atoms-triggered active sites reverse for superior alkaline hydrogen evolutionbreakdown → | 91 |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 17 | |
| 11 | 8 | |
| 12 | 5 | |
| 13 | 8 | |
| 14 | 9 | |
| 15 | 8 | |
| 16 | 10 | |
| 17 | 20 | |
| 18 | 4 | |
| 19 | 63 | |
| 20 | 17 |
About Yanan Cao
Yanan Cao is a scholar working on Artificial Intelligence, Hardware and Architecture and Statistical and Nonlinear Physics, having authored 101 papers that have together received 1.8k indexed citations. Recurring topics across this work include Topic Modeling (21 papers), Advanced Graph Neural Networks (14 papers) and Natural Language Processing Techniques (13 papers). The work is most often cited by research in Artificial Intelligence (481 citations), Renewable Energy, Sustainability and the Environment (241 citations) and Statistical and Nonlinear Physics (145 citations). Yanan Cao has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Christopher L.E. Swartz, Jesus Flores‐Cerrillo, Hui Wang, Chuan Zhou, Li Guo, Yanmin Shang, Baoshan Yang, Fei He, Michael Bâldea and Qixuan Song. Their work appears in journals such as Nature Communications, Chemistry of Materials and Advanced Functional 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.