Weiran Wang
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 2%
- Biomedical Engineering
- Human-Computer Interaction top 5%
- Co-authors
- Karen LivescuRaman AroraJeff BilmesMiguel Á. Carreira-PerpiñánHerman KamperQingming TangKevin GimpelMohit Bansal
- Topics
- Speech Recognition and Synthesis (21 papers)Speech and Audio Processing (15 papers)Music and Audio Processing (15 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Weiran Wang
49 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Artificial Intelligence 626
- Computer Vision and Pattern Recognition 475
- Signal Processing 320
- Biomedical Engineering 63
- Human-Computer Interaction 57
Countries citing papers authored by Weiran Wang
This map shows the geographic impact of Weiran Wang'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 Weiran Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiran Wang more than expected).
Fields of papers citing papers by Weiran Wang
This network shows the impact of papers produced by Weiran Wang. 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 Weiran Wang. The network helps show where Weiran Wang may publish in the future.
Co-authorship network of co-authors of Weiran Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Weiran Wang. A scholar is included among the top collaborators of Weiran Wang 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 Weiran Wang. Weiran Wang 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 | 3 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 16 | |
| 8 | 1 | |
| 9 | 48 | |
| 10 | 21 | |
| 11 | Stochastic Canonical Correlation Analysis | 3 |
| 12 | 7 | |
| 13 | 21 | |
| 14 | Large-Scale Approximate Kernel Canonical Correlation Analysis | 12 |
| 15 | Nonparametric canonical correlation analysis | 24 |
| 16 | 22 | |
| 17 | 33 | |
| 18 | Denoising lidar signal by combining wavelet improved threshold with wavelet domain spatial filtering | 8 |
| 19 | A Secure Watermarking Algorithm Based on Coupled Map Lattice | 1 |
| 20 | Effect of Atmospheric Scintillation on SNR of Differential Absorption Lidar System | 1 |
About Weiran Wang
Weiran Wang is a scholar working on Signal Processing, Artificial Intelligence and Instrumentation, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (21 papers), Speech and Audio Processing (15 papers) and Music and Audio Processing (15 papers). The work is most often cited by research in Signal Processing (320 citations), Computer Vision and Pattern Recognition (475 citations) and Artificial Intelligence (626 citations). Weiran Wang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Karen Livescu, Raman Arora, Jeff Bilmes, Miguel Á. Carreira-Perpiñán, Herman Kamper, Qingming Tang, Kevin Gimpel, Mohit Bansal, Ming Sun and Yao He. Their work appears in journals such as Sensors, IEEE Transactions on Mobile Computing and Vacuum.
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.