Daniel Park
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
- Speech and dialogue systems
Papers in
-
- Speech Recognition and Synthesis 6
- Topic Modeling 1
- Evolutionary Algorithms and Applications 1
-
- Speech and Audio Processing 5
- Music and Audio Processing 4
- Advanced Malware Detection Techniques 1
- Co-authors
- Quoc V. Le (5 shared papers)Chung‐Cheng Chiu (3 shared papers)William Chan (2 shared papers)Yu Zhang (1 shared paper)Barret Zoph (1 shared paper)Ekin D. Cubuk (2 shared papers)Scott C. Linn (1 shared paper)Yu Zhang (3 shared papers)
- Journals
- Journal of the American Medical Informatics Association (1 paper)Journal of Corporate Finance (1 paper)International Journal of Logistics Research and Applications (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)arXiv (Cornell University) (4 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Daniel Park
12 papers receiving 2.2k citations
Daniel Park's Hit Papers
Peers
Comparison fields: 5 of 110
- Signal Processing 1.5k
- Artificial Intelligence 1.8k
- Developmental Biology 64
- Computer Vision and Pattern Recognition 249
- Experimental and Cognitive Psychology 135
Countries citing papers authored by Daniel Park
This map shows the geographic impact of Daniel Park'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 Daniel Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Park more than expected).
Fields of papers citing papers by Daniel Park
This network shows the impact of papers produced by Daniel Park. 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 Daniel Park. The network helps show where Daniel Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Park, 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 | 2055 |
| 2 | 2020 | 122 | |
| 3 | 2005 | 94 | |
| 4 | 2020 | 83 | |
| 5 | 2022 | 21 | |
| 6 | 2010 | 11 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 4 | |
| 9 | Short Paper: Creating Adversarial Malware Examples using Code Insertion. | 2019 | 3 |
| 10 | 2023 | 2 | |
| 11 | 2019 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 1 |
About Daniel Park
Daniel Park is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Finance and Ocean Engineering, having authored 13 papers that have together received 2.4k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (6 papers), Speech and Audio Processing (5 papers), Music and Audio Processing (4 papers), Topic Modeling (1 paper), COVID-19 diagnosis using AI (1 paper), Financial Markets and Investment Strategies (1 paper), Advanced Malware Detection Techniques (1 paper) and Evolutionary Algorithms and Applications (1 paper). The work is most often cited by research in Signal Processing (1.5k citations), Artificial Intelligence (1.8k citations), Developmental Biology (64 citations), Computer Vision and Pattern Recognition (249 citations) and Experimental and Cognitive Psychology (135 citations). Daniel Park has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Quoc V. Le, Chung‐Cheng Chiu, William Chan, Yu Zhang, Barret Zoph, Ekin D. Cubuk, Scott C. Linn, Yu Zhang, Yonghui Wu and Wei Han. Their work appears in journals such as Journal of the American Medical Informatics Association, Journal of Corporate Finance, International Journal of Logistics Research and Applications, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 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.