Liya Yue

744 total citations
28 papers, 520 citations indexed

About

Liya Yue is a scholar working on Molecular Biology, Infectious Diseases and Signal Processing. According to data from OpenAlex, Liya Yue has authored 28 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Infectious Diseases and 6 papers in Signal Processing. Recurrent topics in Liya Yue's work include Emotion and Mood Recognition (6 papers), Speech and Audio Processing (5 papers) and Antibiotic Resistance in Bacteria (5 papers). Liya Yue is often cited by papers focused on Emotion and Mood Recognition (6 papers), Speech and Audio Processing (5 papers) and Antibiotic Resistance in Bacteria (5 papers). Liya Yue collaborates with scholars based in China, Taiwan and United States. Liya Yue's co-authors include Cuidan Li, Fei Chen, Xinmiao Jia, Tingting Yang, Guannan Ma, Dongsheng Zhou, Xiuli Zhang, Nan Ding, Ju Zhang and Xiaoyuan Jiang and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Liya Yue

25 papers receiving 517 citations

Peers

Liya Yue

EPIDE

Sina Mohammadi United States

Zhenpeng Li China

Julia Sanchez‐Garrido United Kingdom

Junxia Feng China

Lingbing Zeng China

Glenn J. Rapsinski United States

Yonghua Hao United States

Lei Ji China

Elizabeth Amiott United States

Sina Mohammadi United States

Liya Yue

338 ×1.1

79 ×0.6

86 ×0.8

EPIDE

59 ×0.6

24 ×0.2

Citations per year, relative to Liya Yue Liya Yue (= 1×) peers Sina Mohammadi

Countries citing papers authored by Liya Yue

Since Specialization

Citations

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

Fields of papers citing papers by Liya Yue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liya Yue

This figure shows the co-authorship network connecting the top 25 collaborators of Liya Yue. A scholar is included among the top collaborators of Liya Yue 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 Liya Yue. Liya Yue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Xia, Chengdong, Liya Yue, Cuidan Li, et al.. (2025). Gut microbiota’s role in the enhancement of type 2 diabetes treatment by a traditional Chinese herbal formula compared to metformin. Microbiology Spectrum. 13(5). e0241224–e0241224. 1 indexed citations

Fu, Qian, Jie Wang, Liya Yue, et al.. (2025). Fragmentation patterns of pathogen-derived cell-free DNA as a promising non-invasive biomarker for bloodstream infection diagnosis. Practical Laboratory Medicine. 47. e00513–e00513.

Yue, Liya, et al.. (2024). Advanced differential evolution for gender-aware English speech emotion recognition. Scientific Reports. 14(1). 17696–17696. 2 indexed citations

Jiao, Zhouguang, Sha Li, Liya Yue, et al.. (2023). Spatiotemporal single‐cell transcriptomic profiling reveals inflammatory cell states in a mouse model of diffuse alveolar damage. SHILAP Revista de lepidopterología. 3(3). 20220171–20220171. 23 indexed citations

Wang, Jie, Cuidan Li, Xiaotong Wang, et al.. (2023). Proteomic analyses of smear-positive/negative tuberculosis patients uncover differential antigen-presenting cell activation and lipid metabolism. Frontiers in Cellular and Infection Microbiology. 13.

Yue, Liya, Pei Hu, Shu‐Chuan Chu, & Jeng‐Shyang Pan. (2023). Multi-Objective Gray Wolf Optimizer with Cost-Sensitive Feature Selection for Predicting Students’ Academic Performance in College English. Mathematics. 11(15). 3396–3396. 9 indexed citations

Lu, Tianyi, Cuidan Li, Xiaotong Wang, et al.. (2023). Comparative transcriptome analysis of SARS-CoV-2, SARS-CoV, MERS-CoV, and HCoV-229E identifying potential IFN/ISGs targets for inhibiting virus replication. Frontiers in Medicine. 10. 1267903–1267903. 1 indexed citations

Yue, Liya, Pei Hu, Shu‐Chuan Chu, & Jeng‐Shyang Pan. (2023). English Speech Emotion Classification Based on Multi-Objective Differential Evolution. Applied Sciences. 13(22). 12262–12262. 4 indexed citations

Yue, Liya, Pei Hu, Shu‐Chuan Chu, & Jeng‐Shyang Pan. (2023). Genetic Algorithm for High-Dimensional Emotion Recognition from Speech Signals. Electronics. 12(23). 4779–4779. 1 indexed citations

10.

Zhang, Menglu, Peihan Wang, Cuidan Li, et al.. (2023). Comparative genomic analysis reveals differential genomic characteristics and featured genes between rapid- and slow-growing non-tuberculous mycobacteria. Frontiers in Microbiology. 14. 1243371–1243371. 5 indexed citations

11.

Li, Cuidan, Liya Yue, Jie Wang, et al.. (2022). Serum Proteomic Analysis for New Types of Long-Term Persistent COVID-19 Patients in Wuhan. Microbiology Spectrum. 10(6). e0127022–e0127022. 5 indexed citations

12.

Li, Cuidan, Xiaoyuan Jiang, Tingting Yang, et al.. (2022). Genomic Epidemiology of Carbapenemase-Producing Klebsiella Pneumoniae in China. Genomics Proteomics & Bioinformatics. 20(6). 1154–1167. 28 indexed citations

13.

Li, Shuangshuang, Xiaoyuan Jiang, Cuidan Li, et al.. (2022). A blaSIM-1 and mcr-9.2 harboring Klebsiella michiganensis strain reported and genomic characteristics of Klebsiella michiganensis. Frontiers in Cellular and Infection Microbiology. 12. 973901–973901. 6 indexed citations

14.

Hu, Xin, Jie Wang, Xiuli Zhang, et al.. (2022). Combining metabolome and clinical indicators with machine learning provides some promising diagnostic markers to precisely detect smear-positive/negative pulmonary tuberculosis. BMC Infectious Diseases. 22(1). 707–707. 15 indexed citations

15.

Fu, Jing, Ju Zhang, Yang Li, et al.. (2021). Precision Methylome and in Vivo Methylation Kinetics Characterization of Klebsiella Pneumoniae. Genomics Proteomics & Bioinformatics. 20(2). 418–434. 16 indexed citations

16.

Zhang, Xiuli, Tian-Shu Cao, Jiannong Wang, et al.. (2020). Hepatic Transcriptome Analysis Revealing the Molecular Pathogenesis of Type 2 Diabetes Mellitus in Zucker Diabetic Fatty Rats. Frontiers in Endocrinology. 11. 565858–565858. 7 indexed citations

17.

Li, Cuidan, Guannan Ma, Tingting Yang, et al.. (2020). A rare carbapenem-resistant hypervirulent K1/ST1265 Klebsiella pneumoniae with an untypeable blaKPC-harboured conjugative plasmid. Journal of Global Antimicrobial Resistance. 22. 426–433. 12 indexed citations

18.

Zhang, Xiuli, Cuidan Li, Tingting Yang, et al.. (2019). Small RNA Profiles of Serum Exosomes Derived From Individuals With Latent and Active Tuberculosis. Frontiers in Microbiology. 10. 1174–1174. 76 indexed citations

19.

Yang, Tingting, Jun Zhong, Ju Zhang, et al.. (2018). Pan-Genomic Study of Mycobacterium tuberculosis Reflecting the Primary/Secondary Genes, Generality/Individuality, and the Interconversion Through Copy Number Variations. Frontiers in Microbiology. 9. 1886–1886. 34 indexed citations

20.

Zhu, Lingxiang, Jun Zhong, Xinmiao Jia, et al.. (2015). Precision methylome characterization ofMycobacterium tuberculosiscomplex (MTBC) using PacBio single-molecule real-time (SMRT) technology. Nucleic Acids Research. 44(2). 730–743. 79 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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