Chin‐Tuan Tan

33 papers receiving 589 citations

Peers

Chin‐Tuan Tan
Comparison fields: 5 of 57
  • Signal Processing 387
  • Speech and Hearing 205
  • Sensory Systems 125
  • Cognitive Neuroscience 425
  • Computational Mechanics 138
Replace Tim Van den Bogaert with:
Tim Van den Bogaert Belgium
Waldo Nogueira Germany
Tobias Goehring United Kingdom
Josef Chalupper Germany
Sarah E. Yoho United States
Filiep Vanpoucke Belgium
Y. C. Tong Australia
Søren Laugesen Denmark
Jan Rennies Germany
William S. Woods United States
Chin‐Tuan Tan relative to Tim Van den Bogaert Belgium Tim Van den Bogaert's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chin‐Tuan Tan

Since Specialization
Citations

This map shows the geographic impact of Chin‐Tuan Tan'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 Chin‐Tuan Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chin‐Tuan Tan more than expected).

Fields of papers citing papers by Chin‐Tuan Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Tuan Tan. 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 Chin‐Tuan Tan. The network helps show where Chin‐Tuan Tan may publish in the future.

Co-authors

The 25 scholars most cited alongside Chin‐Tuan Tan, 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 Chin‐Tuan Tan Line = papers co-authored together Chin‐Tuan Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998146
2 2003136
3
The Effect of Nonlinear Distortion on the Perceived Quality of Music and Speech Signals
200348
4
Predicting the Perceived Quality of Nonlinearly Distorted Music and Speech Signals
200435
5 200834
6 201633
7 201333
8
Development and Validation of a Method for Predicting the Perceived Naturalness of Sounds Subjected to Spectral Distortion
200427
9
Measuring and Predicting the Perceived Quality of Music and Speech Subjected to Combined Linear and Nonlinear Distortion
200423
10 201316
11 201016
12 198414
13 201311
14 20167
15 20126
16 20124
17 20194
18 20064
19 20114
20 20134

About Chin‐Tuan Tan

Chin‐Tuan Tan is a scholar working on Cognitive Neuroscience, Signal Processing, Speech and Hearing, Computational Mechanics and Biomedical Engineering, having authored 37 papers that have together received 631 indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (31 papers), Speech and Audio Processing (22 papers), Noise Effects and Management (19 papers), Neuroscience and Music Perception (5 papers), Advanced Adaptive Filtering Techniques (4 papers), Acoustic Wave Phenomena Research (3 papers), Structural Health Monitoring Techniques (3 papers) and Hearing, Cochlea, Tinnitus, Genetics (3 papers). The work is most often cited by research in Signal Processing (387 citations), Speech and Hearing (205 citations), Sensory Systems (125 citations), Cognitive Neuroscience (425 citations) and Computational Mechanics (138 citations). Chin‐Tuan Tan has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Brian C. J. Moore, Y. C. Tong, Nick Zacharov, Mario A. Svirsky, Brett Martin, Matthew B. Fitzgerald, Elad Sagi, Paul Carter, N.M.F. Murray and J. Thomas Roland. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of the Audio Engineering Society, Journal of the American Academy of Audiology, Ear and Hearing and Journal of Clinical Medicine.

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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