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Jia-Liang Yang · SciRah

Researcher profile · Semantic Scholar

Jia-Liang Yang

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Jia-Liang Yang — researcher profile on SciRah

h-index: 44
Works: 212
Citations: 8,068

Most-cited papers

Artificial intelligence: A powerful paradigm for scientific research
Yong-Jun Xu, Xin Liu, Xinya Cao, Changping Huang +44 more
2021The Innovation1,577 citations Open access
Semantic Scholar
Prediction of HER2-positive breast cancer recurrence and metastasis risk from histopathological images and clinical information via multimodal deep learning
Jia-Liang Yang, J. Ju, Lei Guo, Bin-Bin Ji +7 more
2021Computational and Structural Biotechnology Journal215 citations Open access
Semantic Scholar
A weighted bilinear neural collaborative filtering approach for drug repositioning
Yajie Meng, Changcheng Lu, Min Jin, Jun-Lin Xu +2 more
2022Briefings Bioinform.170 citations
Semantic Scholar
Indicator Regularized Non-Negative Matrix Factorization Method-Based Drug Repurposing for COVID-19
Xian-Fang Tang, Lijun Cai, Yajie Meng, Jun-Lin Xu +2 more
2021Frontiers in Immunology152 citations Open access
Semantic Scholar
Drug repositioning based on weighted local information augmented graph neural network
Yajie Meng, Yi Wang, Jun-Lin Xu, Changcheng Lu +5 more
2023Briefings Bioinform.115 citations Open access
Semantic Scholar
Single-cell technologies: From research to application
Lu Wen, Guoqiang Li, Tao Huang, W. Geng +20 more
2022Innovation (Cambridge (Mass.))114 citations Open access
Semantic Scholar
Cervical Cancer Metastasis and Recurrence Risk Prediction Based on Deep Convolutional Neural Network
Zi-Xuan Ye, Yun-Xiang Zhang, Yue-Bin Liang, Ji-Dong Lang +6 more
2021Current Bioinformatics87 citations
Semantic Scholar
MNNMDA: Predicting human microbe-disease association via a method to minimize matrix nuclear norm
Hai-Yan Liu, Ping-Ping Bing, Mei-Jun Zhang, Geng Tian +7 more
2023Computational and Structural Biotechnology Journal80 citations Open access
Semantic Scholar
ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data
Yuhua Yao, Yaping Lv, Ling Tong, Yue-Bin Liang +9 more
2022Briefings Bioinform.64 citations
Semantic Scholar
A multi-omics machine learning framework in predicting the survival of colorectal cancer patients
Min Yang, Huan-Dong Yang, L. Ji, Xuan Hu +3 more
2022Comput. Biol. Medicine61 citations
Semantic Scholar
Protective Role of a New Polysaccharide Extracted from Lonicera japonica Thunb in Mice with Ulcerative Colitis Induced by Dextran Sulphate Sodium
Xiao-Nan Zhou, Qingqing Lu, X. Kang, Geng Tian +2 more
2021BioMed Research International61 citations Open access
Semantic Scholar
Genomic variation, origin tracing, and vaccine development of SARS-CoV-2: A systematic review
Tian-Bao Li, Tao Huang, Cheng Guo, Ailan Wang +8 more
2021The Innovation56 citations Open access
Semantic Scholar
Predicting colorectal cancer tumor mutational burden from histopathological images and clinical information using multi-modal deep learning
Kaimei Huang, Binghu Lin, Jinyang Liu, Yan-Kun Liu +3 more
2022Bioinform.54 citations Open access
Semantic Scholar
Application of oncolytic virus in tumor therapy
Z. Huang, Hongen Guo, Lin Lin, Shixiong Li +4 more
2023Journal of Medical Virology51 citations
Semantic Scholar
An integrative multiomic network model links lipid metabolism to glucose regulation in coronary artery disease
A. Cohain, William T. Barrington, Daniel M. Jordan, N. Beckmann +22 more
2021Nature Communications49 citations Open access
Semantic Scholar
Predicting breast cancer recurrence and metastasis risk by integrating color and texture features of histopathological images and machine learning technologies
Xinyu Liu, P. Yuan, Ruolin Li, Dejun Zhang +7 more
2022Comput. Biol. Medicine47 citations
Semantic Scholar
Protein structure prediction via deep learning: an in-depth review
Yajie Meng, Zhuang Zhang, Chang Zhou, Xian-Fang Tang +4 more
2025Frontiers in Pharmacology42 citations Open access
Semantic Scholar
DGHNE: network enhancement-based method in identifying disease-causing genes through a heterogeneous biomedical network
Bin-Sheng He, Kun Wang, Ju Xiang, Ping-Ping Bing +5 more
2022Briefings Bioinform.42 citations
Semantic Scholar
Deep learning-based fusion of nuclear segmentation features for microsatellite instability and tumor mutational burden prediction in digestive tract cancers: a multicenter validation study
Yan-Ping Zhang, Jiaying Han, Huang Chen, Fengyuan Hu +4 more
2025Briefings Bioinform.40 citations Open access
Semantic Scholar
Evaluating the performance of dropout imputation and clustering methods for single-cell RNA sequencing data
Jun-Lin Xu, Lingyu Cui, J. Zhuang, Yajie Meng +7 more
2022Comput. Biol. Medicine40 citations Open access
Semantic Scholar
Machine learning for drug repositioning: Recent advances and challenges
Lijun Cai, Jiaxin Chu, Jun-Lin Xu, Yajie Meng +5 more
2023Current Research in Chemical Biology38 citations Open access
Semantic Scholar
Analysis of CT scan images for COVID-19 pneumonia based on a deep ensemble framework with DenseNet, Swin transformer, and RegNet
Li-Hong Peng, Chang Wang, Geng Tian, Guangyi Liu +5 more
2022Frontiers in Microbiology35 citations Open access
Semantic Scholar
Application of Circulating Tumor DNA as a Biomarker for Non-Small Cell Lung Cancer
Jia-Liang Yang, Y. Hui, Yanxiang Zhang, Ming-Hui Zhang +7 more
2021Frontiers in Oncology35 citations Open access
Semantic Scholar
Prioritizing antiviral drugs against SARS-CoV-2 by integrating viral complete genome sequences and drug chemical structures
Li-Hong Peng, Ling Shen, Jun-Lin Xu, Xiongfei Tian +5 more
2021Scientific Reports34 citations Open access
Semantic Scholar
TCM‐Suite: A comprehensive and holistic platform for Traditional Chinese Medicine component identification and network pharmacology analysis
Pengshuo Yang, Ji-Dong Lang, Hongjun Li, Jinxiang Lu +5 more
2022iMeta33 citations Open access
Semantic Scholar
Evaluating the Microsatellite Instability of Colorectal Cancer Based on Multimodal Deep Learning Integrating Histopathological and Molecular Data
Wenjing Qiu, Jia-Sheng Yang, Bing Wang, Min Yang +3 more
2022Frontiers in Oncology33 citations Open access
Semantic Scholar
Enhancing Drug Repositioning Through Local Interactive Learning With Bilinear Attention Networks
Xian-Fang Tang, Chang Zhou, Changcheng Lu, Yajie Meng +4 more
2023IEEE journal of biomedical and health informatics31 citations
Semantic Scholar
Intratumoral Microbiota-Host Interactions Shape the Variability of Lung Adenocarcinoma and Lung Squamous Cell Carcinoma in Recurrence and Metastasis
Xiang Zhou, Lei Ji, Yanyu Ma, Geng Tian +2 more
2023Microbiology spectrum30 citations Open access
Semantic Scholar
Microbiome-transcriptome-histology triad enhances survival risk stratification in multiple cancers
Bin-Sheng He, Yan Ma, Kun Wang, Ping-Ping Bing +5 more
2025Comput. Biol. Chem.29 citations
Semantic Scholar
Bacterial biomarkers capable of identifying recurrence or metastasis carry disease severity information for lung cancer
Xue-Lian Yuan, Zhi-na Wang, Changjun Li, Ke-Bo Lv +4 more
2022Frontiers in Microbiology29 citations Open access
Semantic Scholar
MLSpatial: A machine-learning method to reconstruct the spatial distribution of cells from scRNA-seq by extracting spatial features
Mengbo Zhu, Changjun Li, Ke-Bo Lv, Hongzhe Guo +3 more
2023Comput. Biol. Medicine28 citations
Semantic Scholar
Predicting gastric cancer tumor mutational burden from histopathological images using multimodal deep learning.
Jing Li, Hai-Yan Liu, W. Liu, Pei-jun Zong +7 more
2023Briefings in Functional Genomics27 citations
Semantic Scholar
A Systematic Framework for Identifying Prognostic Genes in the Tumor Microenvironment of Colon Cancer
Jin-Yang Liu, Y. Lan, Geng Tian, Jia-Liang Yang
2022Frontiers in Oncology24 citations Open access
Semantic Scholar
DO-GMA: An End-to-End Drug-Target Interaction Identification Framework with a Depthwise Overparameterized Convolutional Network and the Gated Multihead Attention Mechanism
Li-Hong Peng, Jiale Mao, Guohua Huang, Guosheng Han +4 more
2025Journal of Chemical Information and Modeling23 citations
Semantic Scholar
CAMIL: channel attention-based multiple instance learning for whole slide image classification
Jinyang Mao, Jun-Lin Xu, Xian-Fang Tang, Yongjin Liu +3 more
2025Bioinform.22 citations Open access
Semantic Scholar
MMsurv: a multimodal multi-instance multi-cancer survival prediction model integrating pathological images, clinical information, and sequencing data
Hai-Long Yang, Jia Wang, Wenyan Wang, Shu-Fang Shi +5 more
2025Briefings Bioinform.21 citations Open access
Semantic Scholar
Cancer susceptibility genes: update and systematic perspectives
Xiao-Shun Shi, Sylvia Young, K. Cai, Jia-Liang Yang +1 more
2022Innovation (Cambridge (Mass.))21 citations Open access
Semantic Scholar
A Novel Hybrid Feature Selection and Ensemble Learning Framework for Unbalanced Cancer Data Diagnosis With Transcriptome and Functional Proteomic
Xian-Fang Tang, Lijun Cai, Yajie Meng, Changlong Gu +2 more
2021IEEE Access21 citations Open access
Semantic Scholar
A Streamlined scRNA-Seq Data Analysis Framework Based on Improved Sparse Subspace Clustering
J. Zhuang, Lingyu Cui, Tianqi Qu, Changjing Ren +4 more
2021IEEE Access20 citations Open access
Semantic Scholar
Drug repositioning based on tripartite cross-network embedding and graph convolutional network
Pan Zeng, Bo-Fei Zhang, Aohang Liu, Yajie Meng +3 more
2024Expert systems with applications19 citations
Semantic Scholar
CDPMF-DDA: contrastive deep probabilistic matrix factorization for drug-disease association prediction
Xian-Fang Tang, Ya-Wen Hou, Yajie Meng, Zhao-Jing Wang +5 more
2025BMC Bioinformatics18 citations Open access
Semantic Scholar
Integration of transcriptomes of senescent cell models with multi-tissue patient samples reveals reduced COL6A3 as an inducer of senescence
R. Savić, Jia-Liang Yang, Simon Koplev, Mahru C. An +17 more
2023Cell Reports17 citations Open access
Semantic Scholar
Unveiling patterns in spatial transcriptomics data: a novel approach utilizing graph attention autoencoder and multiscale deep subspace clustering network
Li-Qian Zhou, Xin-Huai Peng, Min Chen, Xianzhi He +3 more
2025GigaScience16 citations Open access
Semantic Scholar
Identification and Validation of Efficacy of Immunological Therapy for Lung Cancer From Histopathological Images Based on Deep Learning
Ya-Chao Yang, Jia-Liang Yang, Yue-Bin Liang, B. Liao +3 more
2021Frontiers in Genetics16 citations Open access
Semantic Scholar
Predictable regulation of survival by intratumoral microbe-immune crosstalk in patients with lung adenocarcinoma
Shuo Shi, Yuwen Chu, Hai-Yan Liu, Lan Yu +6 more
2024Microbial Cell15 citations Open access
Semantic Scholar
Unveiling the distinctive variations in multi-omics triggered by TP53 mutation in lung cancer subtypes: An insight from interaction among intratumoral microbiota, tumor microenvironment, and pathology
Shanhe Tong, Ke-Nan Huang, Weipeng Xing, Yuwen Chu +6 more
2024Comput. Biol. Chem.14 citations
Semantic Scholar
Molecular differences in brain regional vulnerability to aging between males and females
Xian-Xiao Zhou, Ji-qing Cao, Li Zhu, Kurt Farrell +8 more
2023Frontiers in Aging Neuroscience14 citations Open access
Semantic Scholar
Computational drug repositioning using similarity constrained weight regularization matrix factorization: A case of COVID‐19
Jun-Lin Xu, Yajie Meng, Li-Hong Peng, Lijun Cai +4 more
2022Journal of Cellular and Molecular Medicine14 citations Open access
Semantic Scholar
Prediction of colorectal cancer microsatellite instability and tumor mutational burden from histopathological images using multiple instance learning
Wenyan Wang, Weili Shi, Chuan-Qi Nie, Weipeng Xing +6 more
2025Biomedical Signal Processing and Control11 citations
Semantic Scholar
Emvirus: An embedding-based neural framework for human-virus protein-protein interactions prediction
Pengfei Xie, J. Zhuang, Geng Tian, Jia-Liang Yang
2023Biosafety and Health11 citations Open access
Semantic Scholar

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Yajie Meng×11
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Xian-Fang Tang×10
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Changcheng Lu×6

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