Ruiya Li
Impact in
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- Manufacturing Process and Optimization
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- Cancer-related molecular mechanisms research
Papers in
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- Advanced Fiber Optic Sensors 16
- Photonic and Optical Devices 6
- Advanced MEMS and NEMS Technologies 3
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- Robot Manipulation and Learning 3
- Co-authors
- Zude Zhou (15 shared papers)Yuegang Tan (19 shared papers)Tianliang Li (9 shared papers)Lidao Bao (1 shared paper)Lizhou Jia (1 shared paper)Sha Na (1 shared paper)Yan Li (1 shared paper)Lingli Zhang (1 shared paper)
- Journals
- IEEE Sensors Journal (5 papers)Applied Sciences (3 papers)Sensors (3 papers)IEEE Transactions on Automation Science and Engineering (2 papers)One Health (1 paper)
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Ruiya Li
30 papers receiving 741 citations
Peers
Comparison fields: 5 of 88
- Industrial and Manufacturing Engineering 147
- Cancer Research 123
- Electrical and Electronic Engineering 327
- Control and Systems Engineering 107
- Automotive Engineering 40
Countries citing papers authored by Ruiya Li
This map shows the geographic impact of Ruiya Li'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 Ruiya Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruiya Li more than expected).
Fields of papers citing papers by Ruiya Li
This network shows the impact of papers produced by Ruiya Li. 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 Ruiya Li. The network helps show where Ruiya Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruiya Li, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 131 | |
| 2 | 2021 | 79 | |
| 3 | 2018 | 74 | |
| 4 | 2020 | 70 | |
| 5 | 2016 | 65 | |
| 6 | 2019 | 65 | |
| 7 | 2016 | 58 | |
| 8 | 2020 | 30 | |
| 9 | 2020 | 29 | |
| 10 | 2018 | 29 | |
| 11 | 2017 | 25 | |
| 12 | 2017 | 19 | |
| 13 | 2018 | 11 | |
| 14 | 2018 | 11 | |
| 15 | 2015 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2016 | 7 | |
| 18 | 2019 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2022 | 5 |
About Ruiya Li
Ruiya Li is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Infectious Diseases, having authored 34 papers that have together received 756 indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (16 papers), Manufacturing Process and Optimization (6 papers), Photonic and Optical Devices (6 papers), Viral Infections and Vectors (4 papers), Animal Virus Infections Studies (3 papers), Robot Manipulation and Learning (3 papers), Advanced Measurement and Metrology Techniques (3 papers) and Advanced MEMS and NEMS Technologies (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (147 citations), Cancer Research (123 citations), Electrical and Electronic Engineering (327 citations), Control and Systems Engineering (107 citations) and Automotive Engineering (40 citations). Ruiya Li has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Zude Zhou, Yuegang Tan, Tianliang Li, Lidao Bao, Lizhou Jia, Sha Na, Yan Li, Lingli Zhang, Liu Hong and Liang Fang. Their work appears in journals such as IEEE Sensors Journal, Applied Sciences, Sensors, IEEE Transactions on Automation Science and Engineering and One Health.
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.