Xiaoxia Li
- Renewable Energy, Sustainability and the Environment top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering top 2%
- Artificial Intelligence top 10%
- Co-authors
- Qiang YangWenjun YanYongjie ZhaiRui ChenZhenbing ZhaoWei LiAlbert Y. ZomayaZhebo Chen
- Topics
- Photovoltaic System Optimization Techniques (10 papers)Solar Radiation and Photovoltaics (6 papers)Advanced Neural Network Applications (6 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentIndustrial and Manufacturing EngineeringComputer Vision and Pattern Recognition
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xiaoxia Li
23 papers receiving 813 citations
Peers
Comparison fields: 5 of 73
- Renewable Energy, Sustainability and the Environment 463
- Computer Vision and Pattern Recognition 290
- Electrical and Electronic Engineering 213
- Industrial and Manufacturing Engineering 191
- Artificial Intelligence 159
Countries citing papers authored by Xiaoxia Li
This map shows the geographic impact of Xiaoxia Li'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 Xiaoxia Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxia Li more than expected).
Fields of papers citing papers by Xiaoxia Li
This network shows the impact of papers produced by Xiaoxia Li. 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 Xiaoxia Li. The network helps show where Xiaoxia Li may publish in the future.
Co-authorship network of co-authors of Xiaoxia Li
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxia Li. A scholar is included among the top collaborators of Xiaoxia Li 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 Xiaoxia Li. Xiaoxia Li 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 | 6 | |
| 3 | 19 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 27 | |
| 8 | 26 | |
| 9 | 87 | |
| 10 | 28 | |
| 11 | 1 | |
| 12 | 153 | |
| 13 | 132 | |
| 14 | 3 | |
| 15 | 9 | |
| 16 | 104 | |
| 17 | On the Trend of Ethnic relations in Xinjiang and its Influencing Factors | 3 |
| 18 | 3 | |
| 19 | 51 | |
| 20 | 68 |
About Xiaoxia Li
Xiaoxia Li is a scholar working on Renewable Energy, Sustainability and the Environment, Energy Engineering and Power Technology and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 840 indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (10 papers), Solar Radiation and Photovoltaics (6 papers) and Advanced Neural Network Applications (6 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (463 citations), Industrial and Manufacturing Engineering (191 citations) and Computer Vision and Pattern Recognition (290 citations). Xiaoxia Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Qiang Yang, Wenjun Yan, Yongjie Zhai, Rui Chen, Zhenbing Zhao, Wei Li, Albert Y. Zomaya, Zhebo Chen, Xinping Qiu and Liquan Chen. Their work appears in journals such as Journal of Power Sources, International Journal of Hydrogen Energy and IEEE Access.
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.