Xiao Cai
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Computational Mechanics top 2%
- Media Technology top 1%
- Mechanical Engineering top 5%
- Co-authors
- Heng HuangFeiping NieChris DingYang XuChao YangZhang‐Jing ZhengFarhad KamangarWeidong Cai
- Topics
- Phase Change Materials Research (9 papers)Solar Thermal and Photovoltaic Systems (6 papers)Adsorption and Cooling Systems (5 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiao Cai
31 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Computer Vision and Pattern Recognition 1.8k
- Artificial Intelligence 1.2k
- Computational Mechanics 514
- Media Technology 418
- Mechanical Engineering 346
Countries citing papers authored by Xiao Cai
This map shows the geographic impact of Xiao Cai'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 Xiao Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Cai more than expected).
Fields of papers citing papers by Xiao Cai
This network shows the impact of papers produced by Xiao Cai. 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 Xiao Cai. The network helps show where Xiao Cai may publish in the future.
Co-authorship network of co-authors of Xiao Cai
This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Cai. A scholar is included among the top collaborators of Xiao Cai 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 Xiao Cai. Xiao Cai 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 | 16 | |
| 3 | 8 | |
| 4 | 11 | |
| 5 | 46 | |
| 6 | 22 | |
| 7 | 46 | |
| 8 | 44 | |
| 9 | 19 | |
| 10 | 24 | |
| 11 | 1 | |
| 12 | 49 | |
| 13 | Multi-view K-means clustering on big databreakdown → | 313 |
| 14 | Exact top-k feature selection via l 2,0 -norm constraint | 73 |
| 15 | 103 | |
| 16 | 5 | |
| 17 | 61 | |
| 18 | Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimizationbreakdown → | 1273 |
| 19 | Television advertising and idealized images of the "good life" among adolescents in rural China | 1 |
| 20 | 50 |
About Xiao Cai
Xiao Cai is a scholar working on Computer Vision and Pattern Recognition, Renewable Energy, Sustainability and the Environment and Media Technology, having authored 32 papers that have together received 3.0k indexed citations. Recurring topics across this work include Phase Change Materials Research (9 papers), Solar Thermal and Photovoltaic Systems (6 papers) and Adsorption and Cooling Systems (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Computational Mathematics (40 citations) and Media Technology (418 citations). Xiao Cai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Heng Huang, Feiping Nie, Chris Ding, Yang Xu, Chao Yang, Zhang‐Jing Zheng, Farhad Kamangar, Weidong Cai, Hua Wang and Hua Wang. Their work appears in journals such as Bioinformatics, Proceedings of the IEEE and International Journal of Heat and Mass Transfer.
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.