Meiya Chen
Impact in
- Media Technology top 5%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
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- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
Papers in
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- Gut microbiota and health 2
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- Image and Signal Denoising Methods 4
- Advanced Image Processing Techniques 2
- Co-authors
- Luxin Yan (4 shared papers)Yi Chang (4 shared papers)Sheng Zhong (2 shared papers)Yi Li (2 shared papers)Xi-Le Zhao (1 shared paper)Houzhang Fang (1 shared paper)Mengjie Lin (1 shared paper)Xiaozhong Wang (1 shared paper)
- Journals
- Oncology Reports (1 paper)Archives of Medical Science (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Hepatology (1 paper)
- Partner nations
- China
In The Last Decade
Meiya Chen
17 papers receiving 358 citations
Peers
Comparison fields: 5 of 67
- Media Technology 77
- Computer Vision and Pattern Recognition 107
- Infectious Diseases 82
- Gastroenterology 24
- Hepatology 25
Countries citing papers authored by Meiya Chen
This map shows the geographic impact of Meiya Chen'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 Meiya Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meiya Chen more than expected).
Fields of papers citing papers by Meiya Chen
This network shows the impact of papers produced by Meiya Chen. 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 Meiya Chen. The network helps show where Meiya Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Meiya Chen, 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 | 2016 | 129 | |
| 2 | 2019 | 74 | |
| 3 | 2019 | 59 | |
| 4 | 2017 | 31 | |
| 5 | 2020 | 12 | |
| 6 | 2023 | 9 | |
| 7 | 2022 | 8 | |
| 8 | 2006 | 7 | |
| 9 | 2020 | 7 | |
| 10 | 2023 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2020 | 4 | |
| 13 | [Screening of hepatocyte proteins binding to whole S protein of hepatitis B virus by yeast two-hybrid system]. | 2008 | 3 |
| 14 | 2014 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2006 | 2 | |
| 17 | 2006 | 1 |
About Meiya Chen
Meiya Chen is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Computer Networks and Communications, Epidemiology and Electrical and Electronic Engineering, having authored 17 papers that have together received 361 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (4 papers), Advanced Wireless Network Optimization (3 papers), Hepatitis B Virus Studies (3 papers), Cancer-related molecular mechanisms research (3 papers), Wireless Communication Networks Research (3 papers), Advanced Image Fusion Techniques (2 papers), Gut microbiota and health (2 papers) and Advanced Image Processing Techniques (2 papers). The work is most often cited by research in Media Technology (77 citations), Computer Vision and Pattern Recognition (107 citations), Infectious Diseases (82 citations), Gastroenterology (24 citations) and Hepatology (25 citations). Meiya Chen has collaborated with scholars based in China. Frequent co-authors include Luxin Yan, Yi Chang, Sheng Zhong, Yi Li, Xi-Le Zhao, Houzhang Fang, Mengjie Lin, Xiaozhong Wang, Jin‐Shui Pan and Yandan Ren. Their work appears in journals such as Oncology Reports, Archives of Medical Science, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Neural Networks and Learning Systems and Hepatology.
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.