Eric Chang
- Artificial Intelligence top 0.5%
- Speech Recognition and Synthesis 37
- Natural Language Processing Techniques 21
- Topic Modeling 15
- AI in cancer detection 14
- Speech and dialogue systems 11
- Signal Processing top 1%
- Speech and Audio Processing 25
- Music and Audio Processing 13
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- Image Retrieval and Classification Techniques 8
- Transportation top 2%
- Computational Mathematics top 5%
- Journals
- BMC Bioinformatics (5 papers)Journal of the American Medical Informatics Association (5 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Eric Chang
95 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 166
- Artificial Intelligence 2.3k
- Signal Processing 713
- Computer Vision and Pattern Recognition 1.2k
- Transportation 302
- Computational Mathematics 21
Countries citing papers authored by Eric Chang
This map shows the geographic impact of Eric Chang'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 Eric Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Chang more than expected).
Fields of papers citing papers by Eric Chang
This network shows the impact of papers produced by Eric Chang. 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 Eric Chang. The network helps show where Eric Chang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric Chang, 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 | 2024 | 1 | |
| 2 | 2022 | 1 | |
| 3 | 2020 | 3 | |
| 4 | 2020 | 100 | |
| 5 | 2020 | 76 | |
| 6 | 2019 | 5 | |
| 7 | 2019 | 40 | |
| 8 | 2018 | 59 | |
| 9 | 2017 | 289 | |
| 10 | 2017 | 17 | |
| 11 | 2014 | 9 | |
| 12 | 2013 | 28 | |
| 13 | 2013 | 5 | |
| 14 | 2013 | 52 | |
| 15 | A concatenative Mandarin TTS system without prosody model and prosody modification. | 2001 | 14 |
| 16 | 2000 | 60 | |
| 17 | Using Voice Transformations to Create Additional Training Talkers for Word Spotting | 1994 | 6 |
| 18 | Figure of Merit Training for Detection and Spotting | 1993 | 6 |
| 19 | A Boundary Hunting Radial Basis Function Classifier which Allocates Centers Constructively | 1992 | 13 |
| 20 | Using Genetic Algorithms to Improve Pattern Classification Performance | 1990 | 56 |
About Eric Chang
Eric Chang is a scholar working on Signal Processing, Artificial Intelligence, Computational Mathematics, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 96 papers that have together received 4.1k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (37 papers), Speech and Audio Processing (25 papers), Natural Language Processing Techniques (21 papers), Topic Modeling (15 papers), AI in cancer detection (14 papers), Music and Audio Processing (13 papers), Speech and dialogue systems (11 papers) and Image Retrieval and Classification Techniques (8 papers). The work is most often cited by research in Artificial Intelligence (2.3k citations), Signal Processing (713 citations), Computer Vision and Pattern Recognition (1.2k citations), Transportation (302 citations) and Computational Mathematics (21 citations). Eric Chang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yan Xu, Maode Lai, Yu Zheng, Zhuowen Tu, Jun-Yan Zhu, Yubo Fan, Chao Huang, Richard P. Lippmann, Zhipeng Jia and Yuqing Ai. Their work appears in journals such as BMC Bioinformatics, Journal of the American Medical Informatics Association, PLoS ONE, Medical Image Analysis and Scientific Reports.
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.