Ting-Yao Hu

412 citations
23 papers · 149 · h-index 8

Impact in

    • Music and Audio Processing
    • Speech and Audio Processing
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Anomaly Detection Techniques and Applications

Papers in

Ting-Yao Hu

22 papers receiving 139 citations

Peers

Ting-Yao Hu
Comparison fields: 5 of 44
  • Signal Processing 54
  • Artificial Intelligence 84
  • Computer Vision and Pattern Recognition 50
  • Safety, Risk, Reliability and Quality 16
  • Media Technology 8
Replace Yuri Matveev with:
Yuri Matveev Russia
Max W. Y. Lam United States
Yao Sun China
Zuheng Ming France
Séverine Dubuisson France
Klemen Grm Slovenia
Julián Salazar United States
Terrance DeVries Canada
Mahmoud Al Ismail United States
Ting-Yao Hu relative to Yuri Matveev Russia Yuri Matveev's profile →
Citations per field
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Yuri Matveev · 1×
Citations per year

Countries citing papers authored by Ting-Yao Hu

Since Specialization
Citations

This map shows the geographic impact of Ting-Yao 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 Ting-Yao Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting-Yao Hu more than expected).

Fields of papers citing papers by Ting-Yao Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting-Yao 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 Ting-Yao Hu. The network helps show where Ting-Yao Hu may publish in the future.

Co-authors

The 25 scholars most cited alongside Ting-Yao Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ting-Yao Hu Line = papers co-authored together Ting-Yao Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202022
2 202222
3 201321
4 202115
5 202114
6 201112
7 201910
8 20137
9 20144
10 20233
11 20243
12
Informedia @ TRECVID 2018: Ad-hoc Video Search, Video to Text Description, Activities in Extended video.
20182
13
RISE Video Dataset: Recognizing Industrial Smoke Emissions
20202
14 20172
15 20202
16 20101
17 20231
18 20211
19 20211
20 20141

About Ting-Yao Hu

Ting-Yao Hu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Safety, Risk, Reliability and Quality and Environmental Engineering, having authored 23 papers that have together received 149 indexed citations. Recurring topics across this work include Music and Audio Processing (9 papers), Speech Recognition and Synthesis (9 papers), Speech and Audio Processing (7 papers), Natural Language Processing Techniques (6 papers), Video Surveillance and Tracking Methods (5 papers), Fire Detection and Safety Systems (3 papers), Human Pose and Action Recognition (3 papers) and Topic Modeling (3 papers). The work is most often cited by research in Signal Processing (54 citations), Artificial Intelligence (84 citations), Computer Vision and Pattern Recognition (50 citations), Safety, Risk, Reliability and Quality (16 citations) and Media Technology (8 citations). Ting-Yao Hu has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Oncel Tuzel, Ashish Shrivastava, Hema Swetha Koppula, Yu Tsao, How Jing, Yu‐Cheng Kao, Yu-Chiang Frank Wang, Tsang-Long Pao, Min-Chun Yang and Hung-yi Lee. Their work appears in journals such as Computer Speech & Language, Speech Communication, IEICE Transactions on Information and Systems, TRECVID and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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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