Liang Yu

3.0k total citations
103 papers, 2.3k citations indexed

About

Liang Yu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Liang Yu has authored 103 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Molecular Biology, 30 papers in Computational Theory and Mathematics and 18 papers in Cancer Research. Recurrent topics in Liang Yu's work include Bioinformatics and Genomic Networks (29 papers), Computational Drug Discovery Methods (28 papers) and Machine Learning in Bioinformatics (18 papers). Liang Yu is often cited by papers focused on Bioinformatics and Genomic Networks (29 papers), Computational Drug Discovery Methods (28 papers) and Machine Learning in Bioinformatics (18 papers). Liang Yu collaborates with scholars based in China, United States and Japan. Liang Yu's co-authors include Lin Gao, Chunyan Ao, Quan Zou, Jin Zhao, Mengyan Hu, Xiaoke Ma, Linbo Xia, Yunli Wu, Zucheng Jiang and Bin Hu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Liang Yu

93 papers receiving 2.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Liang Yu China 30 1.5k 433 266 170 153 103 2.3k
Hongsheng Liu China 29 1.6k 1.1× 511 1.2× 735 2.8× 63 0.4× 147 1.0× 95 2.8k
Jing Tang China 23 1.7k 1.1× 474 1.1× 258 1.0× 78 0.5× 49 0.3× 79 2.6k
Hilal Tayara South Korea 31 1.9k 1.3× 468 1.1× 242 0.9× 105 0.6× 187 1.2× 133 2.8k
Ruiqi Liu China 26 1.1k 0.7× 38 0.1× 242 0.9× 112 0.7× 68 0.4× 142 2.5k
Jun Xu China 37 2.8k 1.9× 1.2k 2.7× 523 2.0× 71 0.4× 519 3.4× 256 5.0k
Dokyun Na South Korea 25 2.7k 1.8× 445 1.0× 248 0.9× 27 0.2× 198 1.3× 84 3.6k
Hojung Nam South Korea 25 2.2k 1.4× 827 1.9× 235 0.9× 55 0.3× 378 2.5× 66 2.9k

Countries citing papers authored by Liang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Liang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Yu. A scholar is included among the top collaborators of Liang Yu 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 Liang Yu. Liang Yu 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.
Yang, Ning, Lingrui Liu, Xiangyang Li, et al.. (2025). Synergistic efficacy of polymyxin B and indole-3-carbinol against Klebsiella pneumoniae bloodstream infection. Microbial Pathogenesis. 208. 108007–108007. 1 indexed citations
2.
Xiao, Zhichao, et al.. (2025). EPIPDLF: a pretrained deep learning framework for predicting enhancer–promoter interactions. Bioinformatics. 41(5). 3 indexed citations
3.
Gao, Lin, et al.. (2025). Cancer Drug Sensitivity Prediction Based on Deep Transfer Learning. International Journal of Molecular Sciences. 26(6). 2468–2468.
4.
Liu, Ziqi, et al.. (2024). MulStack: An ensemble learning prediction model of multilabel mRNA subcellular localization. Computers in Biology and Medicine. 175. 108289–108289. 7 indexed citations
5.
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7.
Li, Juan, et al.. (2024). UCHL1 contributes to insensitivity to endocrine therapy in triple-negative breast cancer by deubiquitinating and stabilizing KLF5. Breast Cancer Research. 26(1). 44–44. 8 indexed citations
8.
Tian, Ping, Xiaoqiang Liu, Tingting Su, et al.. (2024). Spermidine Associated with Gut Microbiota Protects Against MRSA Bloodstream Infection by Promoting Macrophage M2 Polarization. ACS Infectious Diseases. 10(11). 3751–3764. 4 indexed citations
9.
Hao, Hongxia, et al.. (2023). Identifying disease-related microbes based on multi-scale variational graph autoencoder embedding Wasserstein distance. BMC Biology. 21(1). 294–294. 41 indexed citations
10.
Huang, Zhaoyang, et al.. (2023). Highly Accurate Estimation of Cell Type Abundance in Bulk Tissues Based on Single‐Cell Reference and Domain Adaptive Matching. Advanced Science. 11(7). e2306329–e2306329. 26 indexed citations
11.
Wang, Rui, Saisai Wang, Liang Yu, et al.. (2023). All‐in‐One Compression and Encryption Engine Based on Flexible Polyimide Memristor. SHILAP Revista de lepidopterología. 3(3). 2200082–2200082. 15 indexed citations
12.
Gao, Lin, et al.. (2023). GOLF-Net: Global and local association fusion network for COVID-19 lung infection segmentation. Computers in Biology and Medicine. 164. 107361–107361. 3 indexed citations
13.
Ao, Chunyan, Xiucai Ye, Tetsuya Sakurai, Quan Zou, & Liang Yu. (2023). m5U-SVM: identification of RNA 5-methyluridine modification sites based on multi-view features of physicochemical features and distributed representation. BMC Biology. 21(1). 93–93. 49 indexed citations
14.
Yu, Liang, et al.. (2023). Repositioning linifanib as a potent anti-necroptosis agent for sepsis. Cell Death Discovery. 9(1). 57–57. 20 indexed citations
15.
Li, Min, Yongli Han, Shuying Wang, et al.. (2021). Becker muscular dystrophy: case report, review of the literature, and analysis of differentially expressed hub genes. Neurological Sciences. 43(1). 243–253.
16.
Ao, Chunyan, et al.. (2020). Prediction of antioxidant proteins using hybrid feature representation method and random forest. Genomics. 112(6). 4666–4674. 55 indexed citations
17.
Yu, Liang, Jin Zhao, & Lin Gao. (2018). Predicting Potential Drugs for Breast Cancer based on miRNA and Tissue Specificity. International Journal of Biological Sciences. 14(8). 971–982. 70 indexed citations
18.
Pang, Min, et al.. (2014). miR-511 induces the apoptosis of radioresistant lung adenocarcinoma cells by triggering BAX. Oncology Reports. 31(3). 1473–1479. 33 indexed citations
19.
Chen, Dian, et al.. (2012). Isolation and Identification of Garlic Dry Rot Disease Pathogen. Zhongguo shucai. 88–93.
20.
Yu, Liang, Lin Gao, Kui Li, Yi Zhao, & David Chiu. (2011). A degree-distribution based hierarchical agglomerative clustering algorithm for protein complexes identification. Computational Biology and Chemistry. 35(5). 298–307. 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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