Citation Impact
Citing Papers
Rates of convergence for the cluster tree
2010
Inference and analysis of cell-cell communication using CellChat
2021 Standout
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
2016 Standout
Deciphering cell–cell interactions and communication from gene expression
2020
Compressive strength prediction of basalt fiber reinforced concrete via random forest algorithm
2022 Standout
Explainable AI: A Review of Machine Learning Interpretability Methods
2020 Standout
Hallmarks of aging: An expanding universe
2023 Standout
Diverse partial reprogramming strategies restore youthful gene expression and transiently suppress cell identity
2022
Inferring spatial and signaling relationships between cells from single cell transcriptomic data
2020
The evolving tumor microenvironment: From cancer initiation to metastatic outgrowth
2023 Standout
The transcription factor code in iPSC reprogramming
2021
Revolutionizing healthcare: the role of artificial intelligence in clinical practice
2023 Standout
ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns
2023 Standout
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
Consistent Procedures for Cluster Tree Estimation and Pruning
2014
Optimal Experimental Design for Staggered Rollouts
2019 StandoutNobel
Active learning machine learns to create new quantum experiments
2018 StandoutNobel
Deep Transfer Learning for Intelligent Cellular Traffic Prediction Based on Cross-Domain Big Data
2019 Standout
hdbscan: Hierarchical density based clustering
2017 Standout
Double/debiased machine learning for treatment and structural parameters
2017 StandoutNobel
Online Decision Making with High-Dimensional Covariates
2019
The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance
2021 Standout
Deep learning for healthcare: review, opportunities and challenges
2017 Standout
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data
2017 Standout
Industry 5.0—A Human-Centric Solution
2019 Standout
A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
2020 Standout
Incoherence-Optimal Matrix Completion
2015
The global landscape of AI ethics guidelines
2019 Standout
Least squares after model selection in high-dimensional sparse models
2013
On hyperparameter optimization of machine learning algorithms: Theory and practice
2020 Standout
Using Gossips to Spread Information: Theory and Evidence from Two Randomized Controlled Trials
2019 StandoutNobel
Exact Tensor Completion Using t-SVD
2016 Standout
Machine learning-based approach: global trends, research directions, and regulatory standpoints
2021 Standout
Changes in Social Network Structure in Response to Exposure to Formal Credit Markets
2018 StandoutNobel
Discovering governing equations from data by sparse identification of nonlinear dynamical systems
2016 Standout
Gossip: Identifying Central Individuals in a Social Network
2014 StandoutNobel
Least Squares After Model Selection in High-Dimensional Sparse Models
2009
Impacts of digitization on auditing: A Delphi study for Germany
2019 Standout
Works of Philippe Rigollet being referenced
Complexity Theoretic Lower Bounds for Sparse Principal Component Detection
2013
Nonparametric Bandits with Covariates
2010
Optimal-Transport Analysis of Single-Cell Gene Expression Identifies Developmental Trajectories in Reprogramming
2019
Statistical optimal transport via factored couplings
2019
Optimal detection of sparse principal components in high dimension
2013
Exponential Screening and optimal rates of sparse estimation
2011
Optimal rates for plug-in estimators of density level sets
2009