Ruiling Liu

450 total citations
21 papers, 275 citations indexed

About

Ruiling Liu is a scholar working on Molecular Biology, Cancer Research and Electrical and Electronic Engineering. According to data from OpenAlex, Ruiling Liu has authored 21 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Ruiling Liu's work include Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (5 papers) and Machine Learning in Bioinformatics (4 papers). Ruiling Liu is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (5 papers) and Machine Learning in Bioinformatics (4 papers). Ruiling Liu collaborates with scholars based in China, United States and Thailand. Ruiling Liu's co-authors include Jiuqiang Han, Dexing Zhong, Cheng Wang, Mingxi Wan, Jun Liu, Lucila Ohno‐Machado, Jared Lyle, Xiaoling Chen, Ian Fore and Nansu Zong and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Ruiling Liu

20 papers receiving 269 citations

Peers

Ruiling Liu
Aybar C. Acar Türkiye
Patryk Orzechowski United States
Alam Ahmad Hidayat Indonesia
Olufemi Aromolaran Nigeria
Neha Sharma India
Cartik R. Kothari United States
Meijing Li China
Dong Tong United Kingdom
R. Muhammad Atif Azad Ireland
Aybar C. Acar Türkiye
Ruiling Liu
Citations per year, relative to Ruiling Liu Ruiling Liu (= 1×) peers Aybar C. Acar

Countries citing papers authored by Ruiling Liu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ruiling Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ruiling Liu. A scholar is included among the top collaborators of Ruiling Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ruiling Liu. Ruiling Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Lanying, Ruiling Liu, Yu-Lu Tang, et al.. (2025). Advances in Psoriasis Research: Decoding Immune Circuits and Developing Novel Therapies. International Journal of Molecular Sciences. 26(18). 9233–9233.
2.
Liu, Ruiling, et al.. (2025). Cultural Heritage in Transition: The Role of Baxian Folk Music in the Posthumanist Era. Journal of Posthumanism. 5(2). 1 indexed citations
3.
Sansone, Susanna‐Assunta, Alejandra González-Beltrán, Philippe Rocca‐Serra, et al.. (2017). DATS, the data tag suite to enable discoverability of datasets. Scientific Data. 4(1). 170059–170059. 45 indexed citations
4.
Liu, Ruiling, et al.. (2017). A computational method for prediction of matrix proteins in endogenous retroviruses. PLoS ONE. 12(5). e0176909–e0176909. 1 indexed citations
5.
Wan, Mingxi, et al.. (2017). A filter feature selection method based on the Maximal Information Coefficient and Gram-Schmidt Orthogonalization for biomedical data mining. Computers in Biology and Medicine. 89. 264–274. 69 indexed citations
6.
7.
Wu, Sijia, Jiuqiang Han, Xinman Zhang, Dexing Zhong, & Ruiling Liu. (2017). A computational model for predicting integrase catalytic domain of retrovirus. Journal of Theoretical Biology. 423. 63–70. 1 indexed citations
8.
Liu, Ze, et al.. (2017). A computational model for predicting transmembrane regions of retroviruses. Journal of Bioinformatics and Computational Biology. 15(3). 1750010–1750010. 1 indexed citations
9.
Liu, Ze, et al.. (2016). Computational identification of circular RNAs based on conformational and thermodynamic properties in the flanking introns. Computational Biology and Chemistry. 61. 221–225. 10 indexed citations
10.
Doan, Son, Cleo K. Maehara, Juan D. Chaparro, et al.. (2016). Building a Natural Language Processing Tool to Identify Patients With High Clinical Suspicion for Kawasaki Disease from Emergency Department Notes. Academic Emergency Medicine. 23(5). 628–636. 39 indexed citations
11.
Liu, Ruiling, et al.. (2016). A Bevel Gear Quality Inspection System Based on Multi-Camera Vision Technology. Sensors. 16(9). 1364–1364. 11 indexed citations
12.
Wu, Sijia, et al.. (2016). A computational model for predicting fusion peptide of retroviruses. Computational Biology and Chemistry. 61. 245–250. 6 indexed citations
13.
Han, Jiuqiang, et al.. (2014). ISDTool: A computational model for predicting immunosuppressive domain of HERVs. Computational Biology and Chemistry. 49. 45–50. 5 indexed citations
14.
Zhang, Shanxin, et al.. (2014). Genome-wide identification and predictive modeling of lincRNAs polyadenylation in cancer genome. Computational Biology and Chemistry. 52. 1–8. 6 indexed citations
15.
Han, Jiuqiang, et al.. (2014). ISDTool 2.0: A computational model for predicting immunosuppressive domain of retroviruses. Journal of Theoretical Biology. 360. 78–82. 3 indexed citations
16.
Han, Jiuqiang, et al.. (2014). CarSPred: A Computational Tool for Predicting Carbonylation Sites of Human Proteins. PLoS ONE. 9(10). e111478–e111478. 39 indexed citations
17.
Zhang, Shanxin, et al.. (2014). An improved poly(A) motifs recognition method based on decision level fusion. Computational Biology and Chemistry. 54. 49–56. 3 indexed citations
18.
Cui, Ying, Jiuqiang Han, Dexing Zhong, & Ruiling Liu. (2013). A novel computational method for the identification of plant alternative splice sites. Biochemical and Biophysical Research Communications. 431(2). 221–224. 13 indexed citations
19.
20.
Liu, Ruiling, et al.. (2012). Clustering Analysis of Stocks of CSI 300 Index Based on Manifold Learning. 4(2). 120–126. 6 indexed citations

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.

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