Yan Tang
- Signal Processing top 2%
- Speech and Audio Processing 27
- Materials Chemistry top 5%
- Cognitive Neuroscience top 5%
- Hearing Loss and Rehabilitation 30
- Biomedical Engineering top 5%
- Acoustic Wave Phenomena Research 13
- Speech and Hearing top 5%
- Noise Effects and Management 10
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- Neuroscience and Neuropharmacology Research 8
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- Hearing, Cochlea, Tinnitus, Genetics 4
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- Optical measurement and interference techniques 4
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- Toxic Organic Pollutants Impact 4
- Journals
- Nature Communications (2 papers)SHILAP Revista de lepidopterología (2 papers)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yan Tang
75 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Signal Processing 324
- Materials Chemistry 1.1k
- Cognitive Neuroscience 321
- Biomedical Engineering 683
- Speech and Hearing 96
Countries citing papers authored by Yan Tang
This map shows the geographic impact of Yan Tang'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 Yan Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Tang more than expected).
Fields of papers citing papers by Yan Tang
This network shows the impact of papers produced by Yan Tang. 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 Yan Tang. The network helps show where Yan Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yan Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 5 | |
| 12 | 2020 | 19 | |
| 13 | A Framework for Intelligent Metadata Adaptation in Object-Based Audio | 2018 | 1 |
| 14 | 2018 | 22 | |
| 15 | Speech-to-screen : spatial separation of dialogue from noise towards improved speech intelligibility for the small screen | 2018 | 1 |
| 16 | In vivo guiding nitrogen-doped carbon nanozyme for tumor catalytic therapybreakdown → | 2018 | 932 |
| 17 | 2011 | 35 | |
| 18 | The influence of noise on learning memory behaviors in and expression of GABA neurons in hippocampus | 2008 | 1 |
| 19 | Image Scrambling and Gray-level Diffusion Algorithm Based on Wavelet Transform | 2005 | 0 |
| 20 | Image Coding of Tree-structured Using2D Wavelet Transform | 2000 | 0 |
About Yan Tang
Yan Tang is a scholar working on Signal Processing, Cognitive Neuroscience and Speech and Hearing, having authored 84 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (30 papers), Speech and Audio Processing (27 papers), Acoustic Wave Phenomena Research (13 papers), Noise Effects and Management (10 papers), Neuroscience and Neuropharmacology Research (8 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers), Optical measurement and interference techniques (4 papers) and Toxic Organic Pollutants Impact (4 papers). The work is most often cited by research in Signal Processing (324 citations), Materials Chemistry (1.1k citations) and Cognitive Neuroscience (321 citations). Yan Tang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Lizeng Gao, Xiyun Yan, Kelong Fan, Juqun Xi, Martin Cooke, Lei Fan, Peixia Wang, Chunhua Zhu, Bing Jiang and Minmin Liang. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.