Yaohua Hu
- Computational Theory and Mathematics top 2%
- Molecular Biology
- Computational Mechanics top 5%
- Computer Vision and Pattern Recognition top 5%
- Numerical Analysis top 5%
- Topics
- Advanced Optimization Algorithms Research (21 papers)Sparse and Compressive Sensing Techniques (19 papers)Optimization and Variational Analysis (18 papers)
In The Last Decade
Yaohua Hu
59 papers receiving 827 citations
Peers
Comparison fields: 5 of 126
- Computational Theory and Mathematics 219
- Molecular Biology 216
- Computational Mechanics 215
- Computer Vision and Pattern Recognition 187
- Numerical Analysis 183
Countries citing papers authored by Yaohua Hu
This map shows the geographic impact of Yaohua 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 Yaohua Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaohua Hu more than expected).
Fields of papers citing papers by Yaohua Hu
This network shows the impact of papers produced by Yaohua 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 Yaohua Hu. The network helps show where Yaohua Hu may publish in the future.
Co-authorship network of co-authors of Yaohua Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Yaohua Hu. A scholar is included among the top collaborators of Yaohua 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 Yaohua Hu. Yaohua Hu 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 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 20 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | Group sparse optimization via l p,q regularization | 33 |
| 14 | 40 | |
| 15 | Research on human daily activity recognition method based on BSN and CHMMs | 1 |
| 16 | 55 | |
| 17 | Immunocompetence of a DNA vaccine of Neisseria gonorrhoeae surface protein A fused with B subunit of Escherichia coli heat-labile enterotoxin. | 1 |
| 18 | Protective Effect of Shuganhuayu Decoction on Liver Damage of Experimental Animal | 1 |
| 19 | High Dynamic Range Compression on Programmable Graphics Hardware | 2 |
| 20 | 36 |
About Yaohua Hu
Yaohua Hu is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics, having authored 71 papers that have together received 871 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (21 papers), Sparse and Compressive Sensing Techniques (19 papers) and Optimization and Variational Analysis (18 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (149 citations), Numerical Analysis (183 citations) and Computational Theory and Mathematics (219 citations). Yaohua Hu has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Xiaoqi Yang, Baining Guo, Heung‐Yeung Shum, Stephen Lin, Kun Zhou, Jing Qin, Jen‐Chih Yao, Chong Li, Chong Li and Xiaodong Cheng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.
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.