Xiao Cai

3.8k citations
32 papers · 3.0k indexed · 2 hit papers · h-index 22
Topics
Phase Change Materials Research (9 papers)Solar Thermal and Photovoltaic Systems (6 papers)Adsorption and Cooling Systems (5 papers)

In The Last Decade

Xiao Cai

31 papers receiving 2.9k citations

Hit Papers

Efficient and Robust Feature Selection via Joint ℓ2,1-Nor...2010202620152020201020134008001.2k

Peers

Xiao Cai
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
Replace Liming Chen with:
Liming Chen France
Yuxin Peng China
Zhao Kang China
Jialie Shen Singapore
Yun Fu United States
Zheng Yan China
Wenbing Huang China
Xiangbo Shu China
Jinwei Wang China
Xiaoshuai Sun China
Xiao Cai relative to Liming Chen France Liming Chen's profile →
Citations per field
00.5×5.9×
Liming Chen · 1×
Citations per year

Countries citing papers authored by Xiao Cai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed 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.

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