Yao Hu

1.1k total citations · 1 hit paper
15 papers, 799 citations indexed

About

Yao Hu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Yao Hu has authored 15 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Computational Mechanics and 4 papers in Artificial Intelligence. Recurrent topics in Yao Hu's work include Sparse and Compressive Sensing Techniques (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Blind Source Separation Techniques (3 papers). Yao Hu is often cited by papers focused on Sparse and Compressive Sensing Techniques (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Blind Source Separation Techniques (3 papers). Yao Hu collaborates with scholars based in China and United States. Yao Hu's co-authors include Xiaofei He, Xuelong Li, Jieping Ye, Debing Zhang, Deng Cai, Zhongming Jin, Debing Zhang, Shiding Lin, Jun Liu and Yue Lin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Cybernetics and Neurocomputing.

In The Last Decade

Yao Hu

15 papers receiving 780 citations

Hit Papers

Fast and Accurate Matrix Completion via Truncated Nuclear... 2013 2026 2017 2021 2013 200 400 600

Peers

Yao Hu
Wenli Xu China
Peter Ochs Germany
M. Alex O. Vasilescu United States
Guillermo Sapiro United States
Karin Schnass Switzerland
Wenli Xu China
Yao Hu
Citations per year, relative to Yao Hu Yao Hu (= 1×) peers Wenli Xu

Countries citing papers authored by Yao Hu

Since Specialization
Citations

This map shows the geographic impact of Yao Hu'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 Yao Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Hu more than expected).

Fields of papers citing papers by Yao Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yao Hu. 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 Yao Hu. The network helps show where Yao Hu may publish in the future.

Co-authorship network of co-authors of Yao Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yao Hu. A scholar is included among the top collaborators of Yao Hu 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 Yao Hu. Yao Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Jia, Runda, et al.. (2024). Charging scheduling strategy for electric vehicles in residential areas based on offline reinforcement learning. Journal of Energy Storage. 103. 114319–114319. 8 indexed citations
2.
Zhang, Song, et al.. (2018). Note: Pulsed optically pumped atomic clock based on a paraffin-coated cell. Review of Scientific Instruments. 89(6). 66101–66101. 3 indexed citations
3.
Hu, Yao & Yunfei Xu. (2017). An image restoration method based on cross-correlation. 89. 435–438. 1 indexed citations
4.
Hu, Yao, Chen Zhao, Deng Cai, Xiaofei He, & Xuelong Li. (2016). Atom Decomposition with Adaptive Basis Selection Strategy for Matrix Completion. ACM Transactions on Multimedia Computing Communications and Applications. 12(3). 1–25. 8 indexed citations
5.
Chu, Wenqing, Yao Hu, Chen Zhao, Haifeng Liu, & Deng Cai. (2016). Atom Decomposition Based Subgradient Descent for matrix classification. Neurocomputing. 205. 222–228. 1 indexed citations
6.
Hong, Bin Na, et al.. (2015). Online robust principal component analysis via truncated nuclear norm regularization. Neurocomputing. 175. 216–222. 27 indexed citations
7.
Jin, Zhongming, Debing Zhang, Yao Hu, et al.. (2014). Fast and Accurate Hashing Via Iterative Nearest Neighbors Expansion. IEEE Transactions on Cybernetics. 44(11). 2167–2177. 33 indexed citations
8.
Hu, Yao, et al.. (2014). Large scale multi-class classification with truncated nuclear norm regularization. Neurocomputing. 148. 310–317. 9 indexed citations
9.
Hu, Yao, et al.. (2014). Iterative Multi-View Hashing for Cross Media Indexing. 527–536. 35 indexed citations
10.
Jin, Zhongming, Yao Hu, Yue Lin, et al.. (2013). Complementary Projection Hashing. 257–264. 37 indexed citations
11.
Hu, Yao, Debing Zhang, Zhongming Jin, Deng Cai, & Xiaofei He. (2013). Active Learning Based on Local Representation.. International Joint Conference on Artificial Intelligence. 1415–1421. 3 indexed citations
12.
Hu, Yao, Debing Zhang, Jieping Ye, Xuelong Li, & Xiaofei He. (2013). Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(9). 2117–2130. 601 indexed citations breakdown →
13.
Hu, Yao, Debing Zhang, Jun Liu, Jieping Ye, & Xiaofei He. (2012). Accelerated singular value thresholding for matrix completion. 298–306. 25 indexed citations
14.
Hu, Yao, et al.. (2008). The consistency of product design and brand image. 1142–1144. 3 indexed citations
15.
Hu, Yao. (2001). Phospholipid Fatty Acid Profiles of Chinese Red Soils with Varying Fertility Levels and Land Use Histories. 土壤圈(英文版). 5 indexed citations

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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