Eric Chang
Impact in
- Artificial Intelligence top 0.5%
- AI in cancer detection
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Signal Processing top 1%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
-
- Speech Recognition and Synthesis 37
- AI in cancer detection 18
- Natural Language Processing Techniques 17
- Speech and dialogue systems 11
- Topic Modeling 10
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- Image Retrieval and Classification Techniques 7
- Co-authors
- Yan Xu (39 shared papers)Maode Lai (14 shared papers)Yu Zheng (5 shared papers)Zhuowen Tu (8 shared papers)Jun-Yan Zhu (4 shared papers)Yubo Fan (13 shared papers)Chao Huang (9 shared papers)Richard P. Lippmann (9 shared papers)
- Journals
- Journal of the American Medical Informatics Association (5 papers)BMC Bioinformatics (5 papers)PLoS ONE (3 papers)Medical Image Analysis (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Eric Chang
101 papers receiving 4.6k citations
Eric Chang's Hit Papers
Peers
Comparison fields: 5 of 167
- Artificial Intelligence 2.7k
- Signal Processing 823
- Computer Vision and Pattern Recognition 1.4k
- Transportation 328
- Radiology, Nuclear Medicine and Imaging 836
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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 366 | |
| 2 | Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features Hit paper breakdown → | 2017 | 320 |
| 3 | 2014 | 264 | |
| 4 | 2014 | 228 | |
| 5 | 2014 | 223 | |
| 6 | 2019 | 210 | |
| 7 | 2014 | 181 | |
| 8 | 2007 | 176 | |
| 9 | 2015 | 140 | |
| 10 | 2017 | 136 | |
| 11 | 2020 | 117 | |
| 12 | 2001 | 113 | |
| 13 | 2014 | 99 | |
| 14 | 2020 | 91 | |
| 15 | 2016 | 81 | |
| 16 | 2003 | 80 | |
| 17 | 2018 | 80 | |
| 18 | 2012 | 74 | |
| 19 | 2012 | 70 | |
| 20 | 2005 | 69 |
About Eric Chang
Eric Chang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Oncology and Experimental and Cognitive Psychology, having authored 102 papers that have together received 4.8k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (37 papers), Speech and Audio Processing (25 papers), AI in cancer detection (18 papers), Natural Language Processing Techniques (17 papers), Music and Audio Processing (13 papers), Speech and dialogue systems (11 papers), Topic Modeling (10 papers) and Image Retrieval and Classification Techniques (7 papers). The work is most often cited by research in Artificial Intelligence (2.7k citations), Signal Processing (823 citations), Computer Vision and Pattern Recognition (1.4k citations), Transportation (328 citations) and Radiology, Nuclear Medicine and Imaging (836 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 Journal of the American Medical Informatics Association, BMC Bioinformatics, PLoS ONE, Medical Image Analysis and IEEE Transactions on Biomedical Engineering.
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.