Li Liao

1.0k total citations
58 papers, 663 citations indexed

About

Li Liao is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Li Liao has authored 58 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 8 papers in Artificial Intelligence. Recurrent topics in Li Liao's work include Machine Learning in Bioinformatics (21 papers), Protein Structure and Dynamics (15 papers) and Bioinformatics and Genomic Networks (13 papers). Li Liao is often cited by papers focused on Machine Learning in Bioinformatics (21 papers), Protein Structure and Dynamics (15 papers) and Bioinformatics and Genomic Networks (13 papers). Li Liao collaborates with scholars based in United States, China and South Korea. Li Liao's co-authors include William Stafford Noble, Cathy Wu, Álvaro González, Yuhang Chen, Qiaosheng Guo, Zaibiao Zhu, Lei Huang, Jianzhong Zhou, Qiang Zou and Jae Hong Park and has published in prestigious journals such as Bioinformatics, PLoS ONE and The Plant Cell.

In The Last Decade

Li Liao

52 papers receiving 621 citations

Peers

Li Liao
Yuan Lin China
Xinge Liu China
Yasuhiro Fujita Japan
Charo I. del Genio United Kingdom
David C. Hoyle United Kingdom
Vince Grolmusz Hungary
Vesna Memišević United States
Uri Keich United States
Ron Evans United States
Radu Mihaescu United States
Yuan Lin China
Li Liao
Citations per year, relative to Li Liao Li Liao (= 1×) peers Yuan Lin

Countries citing papers authored by Li Liao

Since Specialization
Citations

This map shows the geographic impact of Li Liao'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 Li Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Liao more than expected).

Fields of papers citing papers by Li Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li Liao. 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 Li Liao. The network helps show where Li Liao may publish in the future.

Co-authorship network of co-authors of Li Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Li Liao. A scholar is included among the top collaborators of Li Liao 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 Li Liao. Li Liao 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.
2.
Hu, Yuxuan, et al.. (2024). Study on Oxygen-Enriched Combustion Characteristics of Blast Furnace Gas Boiler. Combustion Science and Technology. 197(18). 5396–5422.
3.
Liao, Li. (2023). Distributed Data Real-Time Transaction Calculation Based on Collaborative Optimization and Multi-Objective Genetic Algorithm. International Journal of Intelligent Information Technologies. 20(1). 1–16. 1 indexed citations
4.
Lee, Jung‐Youn, et al.. (2021). A new algorithm to train hidden Markov models for biological sequences with partial labels. BMC Bioinformatics. 22(1). 162–162. 10 indexed citations
5.
Liao, Li, et al.. (2019). Prediction of comorbid diseases using weighted geometric embedding of human interactome. BMC Medical Genomics. 12(S7). 161–161. 7 indexed citations
6.
Huang, Lei, Li Liao, & Cathy Wu. (2018). Completing sparse and disconnected protein-protein network by deep learning. BMC Bioinformatics. 19(1). 103–103. 13 indexed citations
7.
Liao, Li, et al.. (2016). Protein-protein interaction prediction based on multiple kernels and partial network with linear programming. BMC Systems Biology. 10(S2). 4 indexed citations
8.
9.
10.
Liao, Li, et al.. (2016). Inference of protein-protein interaction networks from multiple heterogeneous data. PubMed. 2016(1). 8–8. 9 indexed citations
11.
Kern, Colin, Álvaro González, Li Liao, & K. Vijay‐Shanker. (2013). Predicting Interacting Residues Using Long-Distance Information and Novel Decoding in Hidden Markov Models. IEEE Transactions on NanoBioscience. 12(3). 158–164. 5 indexed citations
12.
Zhang, Weidong, et al.. (2011). Rapid detection of Cucumber green mottle mosaic virus by RT-PCR.. ACTA AGRICULTURAE UNIVERSITATIS JIANGXIENSIS. 33(1). 43–83. 1 indexed citations
13.
Chen, Yuhang, et al.. (2011). Influence of fertilization and drought stress on the growth and production of secondary metabolites in Prunella vulgaris L.. Journal of Medicinal Plants Research. 5(9). 1749–1755. 51 indexed citations
14.
Won, Tae Hyung, et al.. (2011). Comparative Analyses of Bioactive Constituents from Forsythia suspensa and Forsythia viridissima by HPLC-DAD. Natural Product Sciences. 17(4). 328–336. 3 indexed citations
15.
Liao, Li. (2011). QSRR Study on the Components of Styrax Japonicus Sieb Flowers Using Improved Molecular Electronegativity-distance Vector (I-MEDV). Chinese Journal of Structural Chemistry. 1 indexed citations
16.
Liao, Li. (2011). Study on Influencing Factors of Nursing Students' Compliance of Standard Precaution. 2 indexed citations
17.
González, Avelino J., Li Liao, & Cathy Wu. (2011). Predicting Ligand Binding Residues and Functional Sites Using Multipositional Correlations with Graph Theoretic Clustering and Kernel CCA. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 9(4). 992–1001. 7 indexed citations
18.
Liao, Li, et al.. (2007). Transductive learning with EM algorithm to classify proteins based on phylogenetic profiles. International Journal of Data Mining and Bioinformatics. 1(4). 337–337. 4 indexed citations
19.
Liao, Li, et al.. (2004). Using extended phylogenetc profiles and support vector machines for protein family classification.. 152–157. 1 indexed citations
20.
Zhang, Sen, Li Liao, & Jason T. L. Wang. (2002). Clustering and classifying enzymes in metabolic pathways: some preliminary results. 62(5). 19–24. 4 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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