Ting Dang
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
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- Emotion and Mood Recognition
Papers in
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- Speech and Audio Processing 13
- Music and Audio Processing 10
- Time Series Analysis and Forecasting 6
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- Speech Recognition and Synthesis 8
- Sentiment Analysis and Opinion Mining 5
- Machine Learning in Healthcare 4
- Anomaly Detection Techniques and Applications 4
- Co-authors
- Vidhyasaharan Sethu (20 shared papers)Julien Epps (6 shared papers)Cecilia Mascolo (13 shared papers)Eliathamby Ambikairajah (15 shared papers)Jing Han (7 shared papers)Xia Tong (7 shared papers)Dimitris Spathis (8 shared papers)Phu Ngoc Le (3 shared papers)
- Journals
- Journal of Medical Internet Research (2 papers)Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2 papers)Speech Communication (2 papers)IEEE Transactions on Affective Computing (2 papers)Pervasive and Mobile Computing (1 paper)
- Partner nations
- AustraliaUnited KingdomSingapore
In The Last Decade
Ting Dang
39 papers receiving 378 citations
Peers
Comparison fields: 5 of 80
- Signal Processing 149
- Experimental and Cognitive Psychology 139
- Artificial Intelligence 134
- Computer Vision and Pattern Recognition 55
- Radiology, Nuclear Medicine and Imaging 51
Countries citing papers authored by Ting Dang
This map shows the geographic impact of Ting Dang'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 Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Dang more than expected).
Fields of papers citing papers by Ting Dang
This network shows the impact of papers produced by Ting Dang. 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 Dang. The network helps show where Ting Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting Dang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 63 | |
| 2 | 2015 | 54 | |
| 3 | 2017 | 31 | |
| 4 | COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening | 2021 | 29 |
| 5 | 2022 | 23 | |
| 6 | 2016 | 21 | |
| 7 | 2021 | 16 | |
| 8 | 2017 | 14 | |
| 9 | 2025 | 10 | |
| 10 | 2022 | 10 | |
| 11 | 2018 | 10 | |
| 12 | 2024 | 9 | |
| 13 | 2024 | 8 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 2016 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2023 | 5 |
About Ting Dang
Ting Dang is a scholar working on Signal Processing, Artificial Intelligence, Experimental and Cognitive Psychology, Social Psychology and Computer Vision and Pattern Recognition, having authored 48 papers that have together received 390 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (14 papers), Speech and Audio Processing (13 papers), Music and Audio Processing (10 papers), Speech Recognition and Synthesis (8 papers), Time Series Analysis and Forecasting (6 papers), Sentiment Analysis and Opinion Mining (5 papers), Machine Learning in Healthcare (4 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Signal Processing (149 citations), Experimental and Cognitive Psychology (139 citations), Artificial Intelligence (134 citations), Computer Vision and Pattern Recognition (55 citations) and Radiology, Nuclear Medicine and Imaging (51 citations). Ting Dang has collaborated with scholars based in Australia, United Kingdom and Singapore. Frequent co-authors include Vidhyasaharan Sethu, Julien Epps, Cecilia Mascolo, Eliathamby Ambikairajah, Jing Han, Xia Tong, Dimitris Spathis, Phu Ngoc Le, Brian Stasak and Zhaocheng Huang. Their work appears in journals such as Journal of Medical Internet Research, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Speech Communication, IEEE Transactions on Affective Computing and Pervasive and Mobile Computing.
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.