Pingjian Ding - RankMe

41 papers Misc 1Journal 36Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A computational framework for predicting drug-target interactions by fusing gene ontology information with cross attention. J. Biomed. Informatics Wenchao Cui, Pingjian Ding, Lingyun Luo, Shunheng Zhou, Hui Jiang
2025	—	`conf`	FCGR-Enhancer: A Lightweight Multi-scale CNN Model for Super-Enhancer Identification via Chaos Game Representation. ICIC (27) Huan Liu, Yidong He, Lingyun Luo, Pingjian Ding
2025	J	`jnl`	GLA-Synergy: An Interpretable Global-Local Adaptive Framework for Drug Synergy Prediction in Cancer Treatment. J. Chem. Inf. Model. Lizhi Deng, Shiyu Yan, Jiaoxing Yang, Mingyong Li, Pingjian Ding
2025	—	`conf`	iEnhancer-Fusion: Integrating Sequence Semantics and DNA Breathing Dynamics for Enhancer Identification and Strength Classification. BIBM Wei Luo, Ying Liu, Lei Yang, Miaojin Xie, Pingjian Ding, Lingyun Luo
2024	J	`jnl`	A Computational Framework for Predicting Novel Drug Indications Using Graph Convolutional Network With Contrastive Learning. IEEE J. Biomed. Health Informatics Yuxun Luo, Wenyu Shan, Li Peng, Lingyun Luo, Pingjian Ding, Wei Liang
2024	J	`jnl`	BertSNR: an interpretable deep learning framework for single-nucleotide resolution identification of transcription factor binding sites based on DNA language model. Bioinform. Hanyu Luo, Li Tang, Min Zeng, Rui Yin, Pingjian Ding, Lingyun Luo, Min Li
2024	J	`jnl`	Geometric Molecular Graph Representation Learning Model for Drug-Drug Interactions Prediction. IEEE J. Biomed. Health Informatics Zhenyu Jiang, Pingjian Ding, Cong Shen, Xiaopeng Dai
2024	J	`jnl`	HKFGCN: A novel multiple kernel fusion framework on graph convolutional network to predict microbe-drug associations. Comput. Biol. Chem. Ziyu Wu, Shasha Li, Lingyun Luo, Pingjian Ding
2024	J	`jnl`	Multi-scale DNA language model improves 6 mA binding sites prediction. Comput. Biol. Chem. Anlin Hou, Hanyu Luo, Huan Liu, Lingyun Luo, Pingjian Ding
2024	J	`jnl`	Predicting associations between drugs and G protein-coupled receptors using a multi-graph convolutional network. Comput. Biol. Chem. Yuxun Luo, Shasha Li, Li Peng, Pingjian Ding, Wei Liang
2024	J	`jnl`	SGCL-LncLoc: An Interpretable Deep Learning Model for Improving IncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning. Big Data Min. Anal. Min Li, Baoying Zhao, Yiming Li, Pingjian Ding, Rui Yin, Shichao Kan, Min Zeng
2023	J	`jnl`	Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction. CoRR Cong Shen, Pingjian Ding, Junjie Wee, Jialin Bi, Jiawei Luo, Kelin Xia
2023	J	`jnl`	Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations. Artif. Intell. Medicine Yichen Zhong, Cong Shen, Xiaoting Xi, Yuxun Luo, Pingjian Ding, Lingyun Luo
2023	J	`jnl`	SENet: A deep learning framework for discriminating super- and typical enhancers by sequence information. Comput. Biol. Chem. Hanyu Luo, Ye Li, Huan Liu, Pingjian Ding, Ying Yu, Lingyun Luo
2023	J	`jnl`	Self-prediction of relations in GO facilitates its quality auditing. J. Biomed. Informatics Cheng Chen, Lingyun Luo, Chunlei Zheng, Pingjian Ding, Huan Liu, Hanyu Luo
2022	Misc	`conf`	A knowledge graph-driven disease-gene prediction system using multi-relational graph convolution networks. AMIA Zhenxiang Gao, Rong Xu, Yiheng Pan, Pingjian Ding
2022	J	`jnl`	KG-Predict: A knowledge graph computational framework for drug repurposing. J. Biomed. Informatics Zhenxiang Gao, Pingjian Ding, Rong Xu
2022	J	`jnl`	Prediction and evaluation of combination pharmacotherapy using natural language processing, machine learning and patient electronic health records. J. Biomed. Informatics Pingjian Ding, Yiheng Pan, QuanQiu Wang, Rong Xu
2022	—	`conf`	iEnhancer-BERT: A Novel Transfer Learning Architecture Based on DNA-Language Model for Identifying Enhancers and Their Strength. ICIC (2) Hanyu Luo, Cheng Chen, Wenyu Shan, Pingjian Ding, Lingyun Luo
2021	J	`jnl`	IDDkin: network-based influence deep diffusion model for enhancing prediction of kinase inhibitors. Bioinform. Cong Shen, Jiawei Luo, Wenjue Ouyang, Pingjian Ding, Xiangtao Chen
2021	J	`jnl`	Incorporating Clinical, Chemical and Biological Information for Predicting Small Molecule-microRNA Associations Based on Non-Negative Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. Jiawei Luo, Cong Shen, Zihan Lai, Jie Cai, Pingjian Ding
2021	J	`jnl`	Inferring Synergistic Drug Combinations Based on Symmetric Meta-Path in a Novel Heterogeneous Network. IEEE ACM Trans. Comput. Biol. Bioinform. Pingjian Ding, Cheng Liang, Wenjue Ouyang, Guanghui Li, Qiu Xiao, Jiawei Luo
2020	J	`jnl`	Heterogeneous information network and its application to human health and disease. Briefings Bioinform. Pingjian Ding, Wenjue Ouyang, Jiawei Luo, Chee-Keong Kwoh
2020	J	`jnl`	Identification of Small Molecule-miRNA Associations with Graph Regularization Techniques in Heterogeneous Networks. J. Chem. Inf. Model. Cong Shen, Jiawei Luo, Wenjue Ouyang, Pingjian Ding, Hao Wu
2020	J	`jnl`	Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. Qiu Xiao, Jiawei Luo, Cheng Liang, Guanghui Li, Jie Cai, Pingjian Ding, Ying Liu
2020	J	`jnl`	Incorporating Multisource Knowledge To Predict Drug Synergy Based on Graph Co-regularization. J. Chem. Inf. Model. Pingjian Ding, Cong Shen, Zihan Lai, Cheng Liang, Guanghui Li, Jiawei Luo
2020	J	`jnl`	Multiview Joint Learning-Based Method for Identifying Small-Molecule-Associated MiRNAs by Integrating Pharmacological, Genomics, and Network Knowledge. J. Chem. Inf. Model. Cong Shen, Jiawei Luo, Zihan Lai, Pingjian Ding
2020	J	`jnl`	Potential circRNA-disease association prediction using DeepWalk and network consistency projection. J. Biomed. Informatics Guanghui Li, Jiawei Luo, Diancheng Wang, Cheng Liang, Qiu Xiao, Pingjian Ding, Hailin Chen
2019	J	`jnl`	Ensemble Prediction of Synergistic Drug Combinations Incorporating Biological, Chemical, Pharmacological, and Network Knowledge. IEEE J. Biomed. Health Informatics Pingjian Ding, Rui Yin, Jiawei Luo, Chee Keong Kwoh
2019	J	`jnl`	Inferring MicroRNA Targets Based on Restricted Boltzmann Machines. IEEE J. Biomed. Health Informatics Ying Liu, Jiawei Luo, Pingjian Ding
2019	J	`jnl`	Prediction of LncRNA-Disease Associations Based on Network Consistency Projection. IEEE Access Guanghui Li, Jiawei Luo, Cheng Liang, Qiu Xiao, Pingjian Ding, Yuejin Zhang
2018	J	`jnl`	A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations. Bioinform. Qiu Xiao, Jiawei Luo, Cheng Liang, Jie Cai, Pingjian Ding
2018	—	`conf`	GRTR: Drug-Disease Association Prediction Based on Graph Regularized Transductive Regression on Heterogeneous Network. ISBRA Qiao Zhu, Jiawei Luo, Pingjian Ding, Qiu Xiao
2018	J	`jnl`	Human disease MiRNA inference by combining target information based on heterogeneous manifolds. J. Biomed. Informatics Pingjian Ding, Jiawei Luo, Cheng Liang, Qiu Xiao, Buwen Cao
2018	J	`jnl`	Identification of overlapping protein complexes by fuzzy K-medoids clustering algorithm in yeast protein-protein interaction networks. J. Intell. Fuzzy Syst. Buwen Cao, Shuguang Deng, Jiawei Luo, Pingjian Ding, Shulin Wang
2018	J	`jnl`	Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity. J. Biomed. Informatics Guanghui Li, Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding
2018	J	`jnl`	Semi-supervised prediction of human miRNA-disease association based on graph regularization framework in heterogeneous networks. Neurocomputing Jiawei Luo, Pingjian Ding, Cheng Liang, Xiangtao Chen
2017	J	`jnl`	A Novel Group Wise-Based Method for Calculating Human miRNA Functional Similarity. IEEE Access Pingjian Ding, Jiawei Luo, Cheng Liang, Jie Cai, Ying Liu, Xiangtao Chen
2017	J	`jnl`	Collective Prediction of Disease-Associated miRNAs Based on Transduction Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Jiawei Luo, Pingjian Ding, Cheng Liang, Buwen Cao, Xiangtao Chen
2017	J	`jnl`	Predicting MicroRNA-Disease Associations Using Kronecker Regularized Least Squares Based on Heterogeneous Omics Data. IEEE Access Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding
2017	J	`jnl`	Predicting MicroRNA-Disease Associations Using Network Topological Similarity Based on DeepWalk. IEEE Access Guanghui Li, Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding, Buwen Cao