Tingyao Wu
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Sociology and Political Science
- Co-authors
- Werner Van LeekwijckFilip De TurckJeroen FamaeySteven LatréMaxim ClaeysBart De VleeschauwerDanny De VleeschauwerHao Zhang
- Topics
- Image and Video Quality Assessment (8 papers)Speech and Audio Processing (7 papers)Speech Recognition and Synthesis (7 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionComputer Networks and Communications
- Partner nations
- BelgiumChinaUnited States
In The Last Decade
Tingyao Wu
21 papers receiving 333 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 210
- Signal Processing 164
- Computer Networks and Communications 130
- Artificial Intelligence 72
- Sociology and Political Science 53
Countries citing papers authored by Tingyao Wu
This map shows the geographic impact of Tingyao Wu'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 Tingyao Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingyao Wu more than expected).
Fields of papers citing papers by Tingyao Wu
This network shows the impact of papers produced by Tingyao Wu. 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 Tingyao Wu. The network helps show where Tingyao Wu may publish in the future.
Co-authorship network of co-authors of Tingyao Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Tingyao Wu. A scholar is included among the top collaborators of Tingyao Wu 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 Tingyao Wu. Tingyao Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 16 | |
| 6 | 21 | |
| 7 | 10 | |
| 8 | 7 | |
| 9 | 60 | |
| 10 | Design of a Q-learning-based client quality selection algorithm for HTTP adaptive video streaming | 47 |
| 11 | 42 | |
| 12 | 19 | |
| 13 | 36 | |
| 14 | 20 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | Universal background models for real-time speaker change detection | 6 |
| 19 | 17 | |
| 20 | 17 |
About Tingyao Wu
Tingyao Wu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Biological Psychiatry, having authored 21 papers that have together received 351 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (8 papers), Speech and Audio Processing (7 papers) and Speech Recognition and Synthesis (7 papers). The work is most often cited by research in Signal Processing (164 citations), Computer Vision and Pattern Recognition (210 citations) and Computer Networks and Communications (130 citations). Tingyao Wu has collaborated with scholars based in Belgium, China and United States. Frequent co-authors include Werner Van Leekwijck, Filip De Turck, Jeroen Famaey, Steven Latré, Maxim Claeys, Bart De Vleeschauwer, Danny De Vleeschauwer, Hao Zhang, Ke Chen and Michael Timmers. Their work appears in journals such as ACS Applied Materials & Interfaces, American Journal Of Pathology and Polymers.
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.