Ruiling Liu
Impact in
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- Scientific Computing and Data Management
Papers in
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- RNA and protein synthesis mechanisms 5
- Genomics and Phylogenetic Studies 5
- Machine Learning in Bioinformatics 4
- Circular RNAs in diseases 2
- RNA Research and Splicing 2
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- MicroRNA in disease regulation 3
- Co-authors
- Jiuqiang Han (14 shared papers)Dexing Zhong (10 shared papers)Mingxi Wan (1 shared paper)Cheng Wang (1 shared paper)Jun Liu (1 shared paper)Lucila Ohno‐Machado (2 shared papers)Ian Fore (1 shared paper)Chun‐Nan Hsu (1 shared paper)
- Journals
- PLoS ONE (2 papers)Journal of Theoretical Biology (2 papers)Biochemical and Biophysical Research Communications (1 paper)Computers in Biology and Medicine (1 paper)Sensors (1 paper)
- Partner nations
- ChinaUnited StatesNorway
In The Last Decade
Ruiling Liu
21 papers receiving 276 citations
Peers
Comparison fields: 5 of 92
- Health Informatics 5
- Information Systems and Management 16
- Molecular Biology 127
- Computational Mathematics 1
- Artificial Intelligence 52
Countries citing papers authored by Ruiling Liu
This map shows the geographic impact of Ruiling Liu'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 Ruiling Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruiling Liu more than expected).
Fields of papers citing papers by Ruiling Liu
This network shows the impact of papers produced by Ruiling Liu. 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 Ruiling Liu. The network helps show where Ruiling Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruiling Liu, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 69 | |
| 2 | 2017 | 46 | |
| 3 | 2016 | 39 | |
| 4 | 2014 | 39 | |
| 5 | 2016 | 13 | |
| 6 | 2013 | 13 | |
| 7 | 2017 | 11 | |
| 8 | 2016 | 10 | |
| 9 | 2012 | 7 | |
| 10 | 2016 | 6 | |
| 11 | 2012 | 6 | |
| 12 | 2014 | 6 | |
| 13 | 2014 | 5 | |
| 14 | 2014 | 3 | |
| 15 | 2014 | 3 | |
| 16 | 2025 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2017 | 1 |
About Ruiling Liu
Ruiling Liu is a scholar working on Molecular Biology, Cancer Research, Electrical and Electronic Engineering, Plant Science and Virology, having authored 21 papers that have together received 282 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Genomics and Phylogenetic Studies (5 papers), Machine Learning in Bioinformatics (4 papers), Chromosomal and Genetic Variations (3 papers), MicroRNA in disease regulation (3 papers), Circular RNAs in diseases (2 papers), RNA Research and Splicing (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Health Informatics (5 citations), Information Systems and Management (16 citations), Molecular Biology (127 citations), Computational Mathematics (1 citation) and Artificial Intelligence (52 citations). Ruiling Liu has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Jiuqiang Han, Dexing Zhong, Mingxi Wan, Cheng Wang, Jun Liu, Lucila Ohno‐Machado, Ian Fore, Chun‐Nan Hsu, Erika Berry and Hua Xu. Their work appears in journals such as PLoS ONE, Journal of Theoretical Biology, Biochemical and Biophysical Research Communications, Computers in Biology and Medicine and Sensors.
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.