William Chan
Impact in
- Signal Processing top 0.2%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 0.5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
Papers in
-
- Speech Recognition and Synthesis 5
- Natural Language Processing Techniques 5
- Topic Modeling 4
- Speech and dialogue systems 2
-
- Music and Audio Processing 4
- Speech and Audio Processing 4
- Co-authors
- Chung‐Cheng Chiu (3 shared papers)Daniel Park (2 shared papers)Quoc V. Le (2 shared papers)Barret Zoph (1 shared paper)Yu Zhang (1 shared paper)Ekin D. Cubuk (1 shared paper)Mohammad Norouzi (2 shared papers)Jonathan Ho (1 shared paper)
- Journals
- PLoS ONE (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Housing and Society (1 paper)arXiv (Cornell University) (3 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
William Chan
13 papers receiving 3.4k citations
William Chan's Hit Papers
Peers
Comparison fields: 5 of 135
- Signal Processing 1.5k
- Artificial Intelligence 2.0k
- Computer Vision and Pattern Recognition 1.1k
- Developmental Biology 67
- Media Technology 267
Countries citing papers authored by William Chan
This map shows the geographic impact of William Chan'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 William Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Chan more than expected).
Fields of papers citing papers by William Chan
This network shows the impact of papers produced by William Chan. 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 William Chan. The network helps show where William Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside William Chan, 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 | SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition Hit paper breakdown → | 2019 | 2135 |
| 2 | Image Super-Resolution Via Iterative Refinement Hit paper breakdown → | 2022 | 1098 |
| 3 | 2019 | 90 | |
| 4 | 2020 | 87 | |
| 5 | 2019 | 60 | |
| 6 | 2020 | 26 | |
| 7 | 2018 | 26 | |
| 8 | 2021 | 25 | |
| 9 | 2018 | 15 | |
| 10 | 2021 | 11 | |
| 11 | 1981 | 5 | |
| 12 | 2020 | 2 | |
| 13 | 2019 | 1 |
About William Chan
William Chan is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Economics and Econometrics and Infectious Diseases, having authored 13 papers that have together received 3.6k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (5 papers), Natural Language Processing Techniques (5 papers), Music and Audio Processing (4 papers), Topic Modeling (4 papers), Speech and Audio Processing (4 papers), Speech and dialogue systems (2 papers), Multimodal Machine Learning Applications (1 paper) and Housing Market and Economics (1 paper). The work is most often cited by research in Signal Processing (1.5k citations), Artificial Intelligence (2.0k citations), Computer Vision and Pattern Recognition (1.1k citations), Developmental Biology (67 citations) and Media Technology (267 citations). William Chan has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Chung‐Cheng Chiu, Daniel Park, Quoc V. Le, Barret Zoph, Yu Zhang, Ekin D. Cubuk, Mohammad Norouzi, Jonathan Ho, Tim Salimans and David J. Fleet. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence, Housing and Society and arXiv (Cornell University).
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.