Tianyi Xu
- Electrical and Electronic Engineering top 10%
- Materials Chemistry
- Renewable Energy, Sustainability and the Environment top 5%
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Topics
- Topic Modeling (11 papers)Blockchain Technology Applications and Security (10 papers)Advanced Graph Neural Networks (10 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentHealth InformaticsElectrical and Electronic Engineering
- Journals
- NatureAngewandte Chemie International EditionSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Tianyi Xu
87 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Electrical and Electronic Engineering 436
- Materials Chemistry 314
- Renewable Energy, Sustainability and the Environment 305
- Artificial Intelligence 218
- Atomic and Molecular Physics, and Optics 172
Countries citing papers authored by Tianyi Xu
This map shows the geographic impact of Tianyi Xu'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 Tianyi Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianyi Xu more than expected).
Fields of papers citing papers by Tianyi Xu
This network shows the impact of papers produced by Tianyi Xu. 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 Tianyi Xu. The network helps show where Tianyi Xu may publish in the future.
Co-authorship network of co-authors of Tianyi Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Tianyi Xu. A scholar is included among the top collaborators of Tianyi Xu 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 Tianyi Xu. Tianyi Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 9 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 3 | |
| 15 | 22 | |
| 16 | 2 | |
| 17 | 13 | |
| 18 | 19 | |
| 19 | 5 | |
| 20 | 33 |
About Tianyi Xu
Tianyi Xu is a scholar working on Renewable Energy, Sustainability and the Environment, Artificial Intelligence and Computer Science Applications, having authored 98 papers that have together received 1.3k indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Blockchain Technology Applications and Security (10 papers) and Advanced Graph Neural Networks (10 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (305 citations), Health Informatics (11 citations) and Electrical and Electronic Engineering (436 citations). Tianyi Xu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ruiguo Yu, Mei Yu, Mankun Zhao, Ruixuan Zhang, Xiaoqiang Cui, Wenhuan Lu, Jie Zhang, Zhuo Zhang, Takashi Taniguchi and Kenji Watanabe. Their work appears in journals such as Nature, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.
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.