Tingyao Wu

469 total citations
21 papers, 351 citations indexed

About

Tingyao Wu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Tingyao Wu has authored 21 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Signal Processing, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Tingyao Wu's work include Image and Video Quality Assessment (8 papers), Speech and Audio Processing (7 papers) and Speech Recognition and Synthesis (7 papers). Tingyao Wu is often cited by papers focused on Image and Video Quality Assessment (8 papers), Speech and Audio Processing (7 papers) and Speech Recognition and Synthesis (7 papers). Tingyao Wu collaborates with scholars based in Belgium, China and United States. Tingyao Wu's co-authors include Werner Van Leekwijck, Filip De Turck, Jeroen Famaey, Steven Latré, Maxim Claeys, Bart De Vleeschauwer, Ke Chen, Danny De Vleeschauwer, Hao Zhang and Michael Timmers and has published in prestigious journals such as ACS Applied Materials & Interfaces, American Journal Of Pathology and Polymers.

In The Last Decade

Tingyao Wu

21 papers receiving 333 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tingyao Wu Belgium	11	210	164	130	72	53	21	351
Sebastian Kaune Germany	11	47 0.2×	21 0.1×	373 2.9×	57 0.8×	36 0.7×	23	405
Hugh Melvin Ireland	10	91 0.4×	83 0.5×	191 1.5×	29 0.4×	58 1.1×	38	317
Xuying Meng China	10	28 0.1×	42 0.3×	72 0.6×	176 2.4×	38 0.7×	26	269
Qinghua Wu China	10	86 0.4×	44 0.3×	244 1.9×	27 0.4×	27 0.5×	31	301
Xun Jian Hong Kong	10	43 0.2×	31 0.2×	62 0.5×	186 2.6×	12 0.2×	22	318
Jairo O. Esteban United States	9	72 0.3×	65 0.4×	307 2.4×	56 0.8×	15 0.3×	16	336
William Chen United States	10	380 1.8×	125 0.8×	12 0.1×	127 1.8×	16 0.3×	25	621
Kevin Chalmers United Kingdom	7	84 0.4×	10 0.1×	31 0.2×	44 0.6×	16 0.3×	32	177
Yilei Wang China	9	31 0.1×	15 0.1×	50 0.4×	140 1.9×	14 0.3×	49	268

Countries citing papers authored by Tingyao Wu

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Zhao, Lingxiao, Hang Ren, Qi Zhang, et al.. (2024). Osmundacetone ameliorates Alzheimer's-like pathologies by inhibiting β-amyloid fibrillation, oxidative damage and neuroinflammation in APP/PS1 transgenic mice. Phytomedicine. 135. 156091–156091. 3 indexed citations

Zhao, Lingxiao, Lilin Chen, Di Cheng, et al.. (2024). Potential Application Prospects of Biomolecule-Modified Two-Dimensional Chiral Nanomaterials in Biomedicine. ACS Biomaterials Science & Engineering. 10(4). 2022–2040. 10 indexed citations

Wen, Tianfu, Jing Xie, Liman Ma, et al.. (2023). Vitamin D Receptor Activation Reduces Hepatic Inflammation via Enhancing Macrophage Autophagy in Cholestatic Mice. American Journal Of Pathology. 194(3). 369–383. 2 indexed citations

Wu, Tingyao, et al.. (2022). The Effect of Polysaccharides on Preventing Proteins and Cholesterol from Being Adsorbed on the Surface of Orthokeratology Lenses. Polymers. 14(21). 4542–4542. 2 indexed citations

Zhai, Congcong, Guoxin Fang, Wenqing Liu, et al.. (2021). Robust Scalable-Manufactured Smart Fabric Surfaces Based on Azobenzene-Containing Maleimide Copolymers for Rewritable Information Storage and Hydrogen Fluoride Visual Sensor. ACS Applied Materials & Interfaces. 13(35). 42024–42034. 16 indexed citations

Petrangeli, Stefano, Tingyao Wu, Tim Wauters, et al.. (2017). A machine learning-based framework for preventing video freezes in HTTP adaptive streaming. Journal of Network and Computer Applications. 94. 78–92. 21 indexed citations

Wu, Tingyao, Rafael Huysegems, & Tom Bostoen. (2015). Scalable network-based video-freeze detection for HTTP adaptive streaming. 95–104. 7 indexed citations

Claeys, Maxim, Steven Latré, Jeroen Famaey, et al.. (2014). Design and optimisation of a (FA)Q-learning-based HTTP adaptive streaming client. Connection Science. 26(1). 25–43. 60 indexed citations

Claeys, Maxim, Steven Latré, Jeroen Famaey, et al.. (2013). Design of a Q-learning-based client quality selection algorithm for HTTP adaptive video streaming. Ghent University Academic Bibliography (Ghent University). 30–37. 47 indexed citations

10.

Vleeschauwer, Bart De, et al.. (2012). SVC-Based HTTP Adaptive Streaming. Bell Labs Technical Journal. 16(4). 25–41. 42 indexed citations

11.

Vleeschauwer, Bart De, et al.. (2012). Session reconstruction for HTTP adaptive streaming: Laying the foundation for network-based QoE monitoring. 1–9. 19 indexed citations

12.

Wu, Tingyao, Koen De Schepper, Werner Van Leekwijck, & Danny De Vleeschauwer. (2012). Reuse time based caching policy for video streaming. 12. 89–93. 7 indexed citations

13.

Wu, Tingyao, Michael Timmers, Danny De Vleeschauwer, & Werner Van Leekwijck. (2010). On the Use of Reservoir Computing in Popularity Prediction. 304. 19–24. 36 indexed citations

14.

Wu, Tingyao, Jacques Duchateau, Jean‐Pierre Martens, & Dirk Van Compernolle. (2009). Feature subset selection for improved native accent identification. Speech Communication. 52(2). 83–98. 20 indexed citations

15.

Wu, Tingyao, Dirk Van Compernolle, Jacques Duchateau, & Hugo Van hamme. (2006). Maximum Likelihood Based Temporal Frame Selection. I–I. 4 indexed citations

16.

Wu, Tingyao, Dirk Van Compernolle, Jacques Duchateau, & Hugo Van hamme. (2006). Single frame selection for phoneme classification. paper 1247–Mon3CaP.2. 2 indexed citations

17.

Wu, Tingyao, et al.. (2005). Improving the discrimination between native accents when recorded over different channels. 2821–2824. 3 indexed citations

18.

Wu, Tingyao, Lie Lu, Ke Chen, & Hao Zhang. (2003). Universal background models for real-time speaker change detection. Research Explorer (The University of Manchester). 135–149. 6 indexed citations

19.

Wu, Tingyao, Lie Lu, Ke Chen, & Hao Zhang. (2003). UBM-based real-time speaker segmentation for broadcasting news. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 2. II–193. 17 indexed citations

20.

Chen, Ke, Tingyao Wu, & Hao Zhang. (2002). On the use of nearest feature line for speaker identification. Pattern Recognition Letters. 23(14). 1735–1746. 17 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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