Eric Chang
Impact in
- Artificial Intelligence top 0.5%
- AI in cancer detection
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
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- Digital Imaging for Blood Diseases
- Medical Image Segmentation Techniques
Papers in
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- Speech Recognition and Synthesis 36
- AI in cancer detection 21
- Natural Language Processing Techniques 17
- Speech and dialogue systems 10
- Topic Modeling 10
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- Speech and Audio Processing 24
- Music and Audio Processing 13
- Co-authors
- Yan Lei Xu (40 shared papers)Maode Lai (14 shared papers)Yu Zheng (5 shared papers)Zhuowen Tu (9 shared papers)Jun-Yan Zhu (4 shared papers)Yubo Fan (13 shared papers)Chao Huang (9 shared papers)Zhipeng Jia (3 shared papers)
- Journals
- Journal of the American Medical Informatics Association (5 papers)BMC Bioinformatics (5 papers)Medical Image Analysis (3 papers)PLoS ONE (3 papers)Computers in Biology and Medicine (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Eric Chang
103 papers receiving 5.0k citations
Eric Chang's Hit Papers
Peers
Comparison fields: 5 of 171
- Artificial Intelligence 3.0k
- Computer Vision and Pattern Recognition 1.6k
- Signal Processing 814
- Transportation 334
- Radiology, Nuclear Medicine and Imaging 1.0k
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-authors
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
Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 378 | |
| 2 | Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features Hit paper breakdown → | 2017 | 330 |
| 3 | 2014 | 274 | |
| 4 | 2019 | 235 | |
| 5 | 2014 | 232 | |
| 6 | 2014 | 223 | |
| 7 | 2019 | 218 | |
| 8 | 2014 | 187 | |
| 9 | 2007 | 171 | |
| 10 | 2015 | 145 | |
| 11 | 2017 | 144 | |
| 12 | 2020 | 124 | |
| 13 | 2001 | 109 | |
| 14 | 2014 | 103 | |
| 15 | 2020 | 103 | |
| 16 | 2020 | 96 | |
| 17 | 2016 | 85 | |
| 18 | 2018 | 84 | |
| 19 | 2003 | 83 | |
| 20 | 2012 | 77 |
About Eric Chang
Eric Chang is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Biophysics and Experimental and Cognitive Psychology, having authored 104 papers that have together received 5.3k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (36 papers), Speech and Audio Processing (24 papers), AI in cancer detection (21 papers), Natural Language Processing Techniques (17 papers), Music and Audio Processing (13 papers), Speech and dialogue systems (10 papers), Topic Modeling (10 papers) and Digital Imaging for Blood Diseases (7 papers). The work is most often cited by research in Artificial Intelligence (3.0k citations), Computer Vision and Pattern Recognition (1.6k citations), Signal Processing (814 citations), Transportation (334 citations) and Radiology, Nuclear Medicine and Imaging (1.0k citations). Eric Chang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yan Lei Xu, Maode Lai, Yu Zheng, Zhuowen Tu, Jun-Yan Zhu, Yubo Fan, Chao Huang, Zhipeng Jia, Yuqing Ai and Richard P. Lippmann. Their work appears in journals such as Journal of the American Medical Informatics Association, BMC Bioinformatics, Medical Image Analysis, PLoS ONE and Computers in Biology and 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.