Xinying Xu
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Environmental Engineering top 10%
- Health, Toxicology and Mutagenesis top 10%
- Electrical and Electronic Engineering
- Topics
- Machine Learning and ELM (13 papers)Rough Sets and Fuzzy Logic (6 papers)Domain Adaptation and Few-Shot Learning (6 papers)
- Journals
- International Journal of Molecular SciencesIEEE Transactions on Geoscience and Remote SensingInternational Journal of Hydrogen Energy
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Xinying Xu
64 papers receiving 670 citations
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 240
- Computer Vision and Pattern Recognition 160
- Environmental Engineering 125
- Health, Toxicology and Mutagenesis 93
- Electrical and Electronic Engineering 81
Countries citing papers authored by Xinying Xu
This map shows the geographic impact of Xinying 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 Xinying Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinying Xu more than expected).
Fields of papers citing papers by Xinying Xu
This network shows the impact of papers produced by Xinying 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 Xinying Xu. The network helps show where Xinying Xu may publish in the future.
Co-authorship network of co-authors of Xinying Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Xinying Xu. A scholar is included among the top collaborators of Xinying 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 Xinying Xu. Xinying 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 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 32 | |
| 12 | 0 | |
| 13 | 65 | |
| 14 | 18 | |
| 15 | 5 | |
| 16 | 10 | |
| 17 | An unsupervised approach for sentiment classification based on weighted latent dirichlet allocation | 0 |
| 18 | Research on an Incremental Attribute Reduction Based on Relative Positive Region ⋆ | 3 |
| 19 | 1 | |
| 20 | 1 |
About Xinying Xu
Xinying Xu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Health Informatics, having authored 71 papers that have together received 697 indexed citations. Recurring topics across this work include Machine Learning and ELM (13 papers), Rough Sets and Fuzzy Logic (6 papers) and Domain Adaptation and Few-Shot Learning (6 papers). The work is most often cited by research in Environmental Engineering (125 citations), Computer Vision and Pattern Recognition (160 citations) and Artificial Intelligence (240 citations). Xinying Xu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Gang Xie, Jinchang Ren, Xiaoxia Han, Yingchao Dong, Lei Guo, Jun Xie, Yunyun Yang, Huaping Liu, Fuchun Sun and Jun Xie. Their work appears in journals such as International Journal of Molecular Sciences, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Hydrogen Energy.
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.