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李梦龙 封面图

李梦龙 (Menglong Li)

Sichuan University

26H指数
210论文数
4.2K被引数
收录论文 87
发表时间
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Refining frailty stratification in elderly head and neck free flap reconstruction优化老年头颈游离皮瓣重建中的虚弱分层
errOral Oncology
IF3.9
err2026-08-25
err0
PREAI
errMenglong Li
err分享
err收藏
Unified Practical Finite-Time and Prescribed Performance Attitude Control for Hypersonic Flight Vehicles高速飞行器统一实用的有限时间与预定性能姿态控制
errIEEE Transactions on Automation Science and Engineering
IF6.4
err2026-06-26
err0
PREAI
errMenglong Li; Feng Tan; Mingzhe Hou; Guangren Duan
err分享
err收藏
Multicentre prospective cohort study to develop and validate a machine learning-based model for predicting 6-month all-cause mortality in elderly patients with advanced chronic obstructive pulmonary disease in China: study protocol一项多中心前瞻性队列研究，旨在开发和验证机器学习模型以预测中国老年晚期慢性阻塞性肺疾病患者6个月全因死亡率：研究方案
errBMJ Open
IF2.3
err2026-05-25
err0
PREAI
errPu, Hongshan; Liu, Liheng; Chang, Yiting; Su, Lin; Zeng, Xiaofeng; Cheng, Wenwu; Jiang, Yan; He, Jinhan; Mo, Li
err分享
err收藏
Motif-Level Graph Learning Enables Interpretable Prediction of Drug-Induced QT Prolongation via Cooperative Substructural Determinants基于基序级图学习的可解释药物诱导QT间期延长的预测，通过协同子结构决定因素
errInternational Journal of Molecular Sciences
IF4.9
err2026-05-23
err0
errOAAI
errWulin Long; Shengqiu Zhai; Yuheng Liu; Menglong Li; Zhining Wen
err分享
err收藏
A Contrastive-Learning-Based Pre-Training Framework for Optical Property Prediction of Low-Data Rhodamines with Interpretable Multitask Graph Neural Networks基于对比学习的光学性质预测预训练框架，用于低数据量罗丹明染料，结合可解释的多任务图神经网络
errMolecules
IF4.6
err2026-04-03
err0
errOAAI
errJiangguo Qiu; Yanling Wu; Hong Zhang; Menglong Li; Xuemei Pu; Yanzhi Guo
err分享
err收藏
Advances in the engineering of living probiotics for cancer immunotherapy用于癌症免疫治疗的活体益生菌工程进展
errTheranostics
IF13.3
err2026-01-01
err6
PREAI
errMuhammad, Sibtain; Li, Menglong; Jia, Qingyun; Ijaz, Muhammad; Liang, Shiqi; Zeng, Wenjun; Chen, Dongxiang; Zhang, Yinghe; Du, Xuelian; Song, Wencong; Guo, Bing
err分享
err收藏
Unveiling Novel Traits Associated with Ulcerative Colitis via Phenome-Wide Associations Enhanced by Polygenic Risk Statistics通过增强的多基因风险统计方法揭示与溃疡性结肠炎相关的新型表型特征
errGenes 2025, Vol. 16, Page 1431
IF2.8
err2025-11-30
err0
errOAAI
errYiming Wu; Ling Liu; Meltem Ece Kars; Rui Li; Menglong Li; Yuval Itan
err分享
err收藏
Integrating deep generative model with active learning for predicting immunotherapy responses in gastric cancer将深度生成模型与主动学习相结合，以预测胃癌的免疫治疗反应
errComputer Methods and Programs in Biomedicine
IF4.8
err2025-10-24
err0
PREAI
errHao Lan; Jinzhou Wang; Jinyi Zhao; Menglong Li; Xuemei Pu; Yanzhi Guo
err分享
err收藏
Opto-magnetic optimization enhances the multimodal therapeutic and diagnostic (UCL/T1–T2W MRI) potential of GdOF against MDA-MB-231光磁优化增强了GdOF对MDA-MB-231的多模态治疗与诊断（UCL/T1–T2W MRI）潜力
errj mater chem a
IF0
err2025-07-26
err0
PREAI
errTanmoy Mondal ‡; Panchanan Sahoo ‡; Sourav Kumar Nandi; Sudip Kundu; Menglong Li; Nibedita Haldar; Raushan Kabir; Koushik Mitra; Shubham Roy; Mandira Das; Chandan Kumar Ghosh
err分享
err收藏
An inductive learning-based method for predicting drug-gene interactions using a multi-relational drug-disease-gene graph基于归纳学习的方法，用于预测药物-基因相互作用，该方法使用多关系药物-疾病-基因图。
errJournal of Pharmaceutical Analysis
IF8.9
err2025-05-16
err0
errOAAI
errJian He; Yanling Wu; Linxi Yuan; Jiangguo Qiu; Menglong Li; Xuemei Pu; Yanzhi Guo
err分享
err收藏
A Transfer Learning Framework for Predicting and Interpreting Drug Responses via Single-Cell RNA-Seq Data基于单细胞RNA测序数据预测和解释药物反应的迁移学习框架
errINTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
IF4.9
err2025-05-04
err0
errOAAI
errHe, Yujie; Li, Shenghao; Lan, Hao; Long, Wulin; Zhai, Shengqiu; Li, Menglong; Wen, Zhining
err分享
err收藏
Deep Clustering-Based Immunotherapy Prediction for Gastric Cancer mRNA Vaccine Development基于深度聚类的胃癌mRNA疫苗开发免疫治疗预测
errINTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
IF4.9
err2025-03-10
err0
errOAAI
errLan, Hao; Zhao, Jinyi; Yuan, Linxi; Li, Menglong; Pu, Xuemei; Guo, Yanzhi
err分享
err收藏
Response of wastewater treatment performance and bacterial community to original and aged polyvinyl chloride microplastics in sequencing batch reactors
errBIORESOURCE TECHNOLOGY
IF9
err2025-03-01
err0
PREAI
errLi, Menglong; Cao, Yizhen; Yang, Xiaojing; He, Jiawei; Zhou, Hao; Zhan, Jingjing; Zhang, Xuwang
err分享
err收藏
Identifying diagnostic indicators for type 2 diabetes mellitus from physical examination using interpretable machine learning approach
errFRONTIERS IN ENDOCRINOLOGY
IF4.6
err2024-03-18
err1
errOAAI
errLv, Xiang; Luo, Jiesi; Huang, Wei; Guo, Hui; Bai, Xue; Yan, Pijun; Jiang, Zongzhe; Zhang, Yonglin; Jing, Runyu; Chen, Qi; Li, Menglong
err分享
err收藏
Attention-based deep clustering method for scRNA-seq cell type identification
errplos biology
IF3.6
err2023-11-10
err3
errOAAI
errLi, Shenghao; Guo, Hui; Zhang, Simai; Li, Yizhou; Li, Menglong
err分享
err收藏
HOPEXGB: A Consensual Model for Predicting miRNA/lncRNA-Disease Associations Using a Heterogeneous Disease-miRNA-lncRNA Information Network
errJOURNAL OF CHEMICAL INFORMATION AND MODELING
IF5.3
err2023-08-21
err7
PREAI
errHe, Jian; Li, Menglong; Qiu, Jiangguo; Pu, Xuemei; Guo, Yanzhi
err分享
err收藏
Multi-omics integration analysis of GPCRs in pan-cancer to uncover inter-omics relationships and potential driver genes泛癌症中gpcr的多组学整合分析，以揭示组间关系和潜在的驱动基因
errCOMPUTERS IN BIOLOGY AND MEDICINE
IF6.3
err2023-07-01
err5
PREAI
errLi, Shiqi; Chen, Xin; Chen, Jianfang; Wu, Binjian; Liu, Jing; Guo, Yanzhi; Li, Menglong; Pu, Xuemei
err分享
err收藏
Multi-model predictive analysis of RNA solvent accessibility based on modified residual attention mechanism基于改进剩余注意机制的RNA溶剂可及性多模型预测分析
errBRIEFINGS IN BIOINFORMATICS
IF7.7
err2022-10-27
err1
PREAI
errHuang, Yuyao; Luo, Jiesi; Jing, Runyu; Li, Menglong
err分享
err收藏
Robust multi-class model constructed for rapid quality control of Cordyceps sinensis
errMICROCHEMICAL JOURNAL
IF5.1
err2021-12-01
err6
PREAI
errGuo, Hui; Yang, Xing; Jing, Runyu; Li, Yizhou; Tan, Fuyuan; Li, Menglong
err分享
err收藏
Predicting gene expression levels from histone modification profiles by a hybrid deep learning network
errCHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
IF3.8
err2021-12-01
err2
PREAI
errLiao, Yinjing; Guo, Hui; Jing, Runyu; Luo, Jiesi; Li, Menglong; Li, Yizhou
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
R
Roland Eils
H 指数: 138 · 论文数: 1.1K
B
Bart Barlogie
H 指数: 138 · 论文数: 1.2K
J
Joel S. Parker
H 指数: 135 · 论文数: 1.0K
C
Christos Sotiriou
H 指数: 122 · 论文数: 1.1K
K
Kenneth R. Hess
H 指数: 118 · 论文数: 780
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