Xinyi Fan
- Renewable Energy, Sustainability and the Environment top 10%
- Materials Chemistry
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Huajun LiuDong HuangFuqiang LiuKan ZhangLuyang WangBo CaiDinghua ZhouYuan Lu
- Topics
- 2D Materials and Applications (5 papers)Advanced Memory and Neural Computing (4 papers)Advanced Photocatalysis Techniques (4 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentComputer Vision and Pattern RecognitionHealth Informatics
- Journals
- Advanced MaterialsNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xinyi Fan
22 papers receiving 625 citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Renewable Energy, Sustainability and the Environment 238
- Materials Chemistry 220
- Electrical and Electronic Engineering 199
- Computer Vision and Pattern Recognition 124
- Artificial Intelligence 60
Countries citing papers authored by Xinyi Fan
This map shows the geographic impact of Xinyi Fan'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 Xinyi Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinyi Fan more than expected).
Fields of papers citing papers by Xinyi Fan
This network shows the impact of papers produced by Xinyi Fan. 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 Xinyi Fan. The network helps show where Xinyi Fan may publish in the future.
Co-authorship network of co-authors of Xinyi Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Xinyi Fan. A scholar is included among the top collaborators of Xinyi Fan 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 Xinyi Fan. Xinyi Fan 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 12 | |
| 8 | 0 | |
| 9 | 15 | |
| 10 | 31 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 20 | |
| 16 | 4 | |
| 17 | 13 | |
| 18 | 2 | |
| 19 | 35 | |
| 20 | 1 |
About Xinyi Fan
Xinyi Fan is a scholar working on Business and International Management, Renewable Energy, Sustainability and the Environment and Safety Research, having authored 28 papers that have together received 632 indexed citations. Recurring topics across this work include 2D Materials and Applications (5 papers), Advanced Memory and Neural Computing (4 papers) and Advanced Photocatalysis Techniques (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (238 citations), Computer Vision and Pattern Recognition (124 citations) and Health Informatics (8 citations). Xinyi Fan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Huajun Liu, Dong Huang, Fuqiang Liu, Kan Zhang, Luyang Wang, Bo Cai, Dinghua Zhou, Yuan Lu, Yilong Yang and Ke Fan. Their work appears in journals such as Advanced Materials, Nature Communications 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.