Shun Ye
Impact in
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- Biosensors and Analytical Detection
- Advanced Sensor and Energy Harvesting Materials
- Innovative Microfluidic and Catalytic Techniques Innovation
- Microfluidic and Capillary Electrophoresis Applications
- Non-Invasive Vital Sign Monitoring
Papers in
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- Innovative Microfluidic and Catalytic Techniques Innovation 4
- Microfluidic and Capillary Electrophoresis Applications 3
- Biosensors and Analytical Detection 2
- Advanced Sensor and Energy Harvesting Materials 1
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- Electrowetting and Microfluidic Technologies 4
- Nanomaterials and Printing Technologies 1
- Co-authors
- Shengtai Bian (2 shared papers)Liang Huang (1 shared paper)Shilun Feng (1 shared paper)Rajesh Ghosh (2 shared papers)Dino Di Carlo (2 shared papers)David Guzman (1 shared paper)Aydogan Özcan (1 shared paper)Keisuke Goda (1 shared paper)
- Journals
- Analytical Chemistry (3 papers)Nature Communications (1 paper)Biosensors (1 paper)Light Science & Applications (1 paper)Advanced Science (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Shun Ye
6 papers receiving 241 citations
Shun Ye's Hit Papers
Peers
Comparison fields: 5 of 78
- Health Informatics 5
- Biomedical Engineering 146
- Bioengineering 12
- Pharmaceutical Science 7
- Molecular Biology 61
Countries citing papers authored by Shun Ye
This map shows the geographic impact of Shun Ye'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 Shun Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shun Ye more than expected).
Fields of papers citing papers by Shun Ye
This network shows the impact of papers produced by Shun Ye. 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 Shun Ye. The network helps show where Shun Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Shun Ye, 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 | 2020 | 97 | |
| 2 | Machine learning in point-of-care testing: innovations, challenges, and opportunities Hit paper breakdown → | 2025 | 87 |
| 3 | 2022 | 21 | |
| 4 | 2024 | 16 | |
| 5 | 2024 | 16 | |
| 6 | 2021 | 8 | |
| 7 | 2026 | 0 |
About Shun Ye
Shun Ye is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Molecular Biology, Infectious Diseases and Bioengineering, having authored 7 papers that have together received 245 indexed citations. Recurring topics across this work include Electrowetting and Microfluidic Technologies (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Biosensors and Analytical Detection (2 papers), Nanomaterials and Printing Technologies (1 paper), Advanced Sensor and Energy Harvesting Materials (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Health Informatics (5 citations), Biomedical Engineering (146 citations), Bioengineering (12 citations), Pharmaceutical Science (7 citations) and Molecular Biology (61 citations). Shun Ye has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Shengtai Bian, Liang Huang, Shilun Feng, Rajesh Ghosh, Dino Di Carlo, David Guzman, Aydogan Özcan, Keisuke Goda, Defne Yigci and Merve Eryılmaz. Their work appears in journals such as Analytical Chemistry, Nature Communications, Biosensors, Light Science & Applications and Advanced Science.
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.