Eva Cheng
Impact in
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- Image and Video Quality Assessment
- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Signal Processing top 10%
- Speech and Audio Processing
Papers in
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- Advanced Vision and Imaging 11
- Advanced Image and Video Retrieval Techniques 4
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- Hearing Loss and Rehabilitation 7
- Co-authors
- Lee Burnett (35 shared papers)Margaret Lech (8 shared papers)Sipei Zhao (9 shared papers)Christian Ritz (10 shared papers)Xiaojun Qiu (10 shared papers)Suelynn Choy (2 shared papers)Margaret Hamilton (2 shared papers)Flora D. Salim (2 shared papers)
In The Last Decade
Eva Cheng
54 papers receiving 487 citations
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 204
- Signal Processing 85
- Human-Computer Interaction 36
- Media Technology 57
- Transportation 29
Countries citing papers authored by Eva Cheng
This map shows the geographic impact of Eva Cheng'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 Eva Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Cheng more than expected).
Fields of papers citing papers by Eva Cheng
This network shows the impact of papers produced by Eva Cheng. 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 Eva Cheng. The network helps show where Eva Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Cheng, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 55 | |
| 2 | 2016 | 46 | |
| 3 | 2012 | 41 | |
| 4 | 2012 | 34 | |
| 5 | 2011 | 28 | |
| 6 | 2016 | 25 | |
| 7 | 2017 | 20 | |
| 8 | 2022 | 18 | |
| 9 | 2005 | 18 | |
| 10 | 2016 | 16 | |
| 11 | 2020 | 15 | |
| 12 | 2011 | 15 | |
| 13 | 2021 | 13 | |
| 14 | 2017 | 12 | |
| 15 | 2016 | 11 | |
| 16 | 2015 | 10 | |
| 17 | 2022 | 8 | |
| 18 | 2017 | 7 | |
| 19 | 2018 | 7 | |
| 20 | 2013 | 7 |
About Eva Cheng
Eva Cheng is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Signal Processing, Biomedical Engineering and Aerospace Engineering, having authored 60 papers that have together received 507 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (11 papers), Speech and Audio Processing (10 papers), Acoustic Wave Phenomena Research (8 papers), Hearing Loss and Rehabilitation (7 papers), Noise Effects and Management (6 papers), Advanced Adaptive Filtering Techniques (5 papers), Robotics and Sensor-Based Localization (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (204 citations), Signal Processing (85 citations), Human-Computer Interaction (36 citations), Media Technology (57 citations) and Transportation (29 citations). Eva Cheng has collaborated with scholars based in Australia, Vietnam and Taiwan. Frequent co-authors include Lee Burnett, Margaret Lech, Sipei Zhao, Christian Ritz, Xiaojun Qiu, Suelynn Choy, Margaret Hamilton, Flora D. Salim, Stephen J. Davis and Stuart Perry. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Access, Journal of the Audio Engineering Society, Scientific Reports and Applied Acoustics.
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.