Kanghui Guo
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 1%
- Applied Mathematics top 1%
- Computational Mechanics top 5%
- Geophysics top 10%
- Co-authors
- Demetrio LabateGuido WeissEdward N. WilsonWang‐Q LimYibiao PanDashan FanGlenn R. EasleyFlavia Colonna
- Topics
- Image and Signal Denoising Methods (21 papers)Mathematical Analysis and Transform Methods (20 papers)Advanced Harmonic Analysis Research (10 papers)
- Journals
- Transactions of the American Mathematical SocietyJournal of Computational and Applied MathematicsProceedings of the American Mathematical Society
- Partner nations
- United StatesCanada
In The Last Decade
Kanghui Guo
36 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 808
- Media Technology 427
- Applied Mathematics 399
- Computational Mechanics 229
- Geophysics 144
Countries citing papers authored by Kanghui Guo
This map shows the geographic impact of Kanghui Guo'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 Kanghui Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kanghui Guo more than expected).
Fields of papers citing papers by Kanghui Guo
This network shows the impact of papers produced by Kanghui Guo. 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 Kanghui Guo. The network helps show where Kanghui Guo may publish in the future.
Co-authorship network of co-authors of Kanghui Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Kanghui Guo. A scholar is included among the top collaborators of Kanghui Guo 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 Kanghui Guo. Kanghui Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 24 | |
| 8 | 25 | |
| 9 | 17 | |
| 10 | 52 | |
| 11 | 89 | |
| 12 | Optimally Sparse Multidimensional Representation Using Shearletsbreakdown → | 467 |
| 13 | Some remarks on the unified characterization of reproducing systems | 8 |
| 14 | 140 | |
| 15 | 79 | |
| 16 | 19 | |
| 17 | 24 | |
| 18 | 10 | |
| 19 | 1 | |
| 20 | 9 |
About Kanghui Guo
Kanghui Guo is a scholar working on Applied Mathematics, Mathematical Physics and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (21 papers), Mathematical Analysis and Transform Methods (20 papers) and Advanced Harmonic Analysis Research (10 papers). The work is most often cited by research in Media Technology (427 citations), Computer Vision and Pattern Recognition (808 citations) and Applied Mathematics (399 citations). Kanghui Guo has collaborated with scholars based in United States and Canada. Frequent co-authors include Demetrio Labate, Guido Weiss, Edward N. Wilson, Wang‐Q Lim, Yibiao Pan, Dashan Fan, Glenn R. Easley, Flavia Colonna, S.W. Drury and Shouchuan Hu. Their work appears in journals such as Transactions of the American Mathematical Society, Journal of Computational and Applied Mathematics and Proceedings of the American Mathematical Society.
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.