Citation Impact
Citing Papers
Plant diseases and pests detection based on deep learning: a review
2021 Standout
The Selective Random Subspace Predictor for Traffic Flow Forecasting
2007
Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches
2019 Standout
Deep Multitask Learning for Railway Track Inspection
2016 Standout
Traffic signal timing via deep reinforcement learning
2016 Standout
Short‐term traffic flow prediction with linear conditional Gaussian Bayesian network
2016
LSTM network: a deep learning approach for short‐term traffic forecast
2017 Standout
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
2017 Standout
Variational Inference for Infinite Mixtures of Gaussian Processes With Applications to Traffic Flow Prediction
2010
Big Data Analytics in Operations Management
2017 Standout
Dynamic near-term traffic flow prediction: system-oriented approach based on past experiences
2012
Recent applications of big data analytics in railway transportation systems: A survey
2018 Standout
Accurate and Interpretable Bayesian MARS for Traffic Flow Prediction
2014
A self-organizing neuro-fuzzy network based on first order effect sensitivity analysis
2013
The retrieval of intra-day trend and its influence on traffic prediction
2012
On the imputation of missing data for road traffic forecasting: New insights and novel techniques
2018
Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning
2014
An Aggregation Approach to Short-Term Traffic Flow Prediction
2009
Deep learning for short-term traffic flow prediction
2017
Artificial intelligence, machine learning and deep learning in advanced robotics, a review
2023 Standout
Traffic Flow Forecasting for Urban Work Zones
2014
The Serpent Monte Carlo code: Status, development and applications in 2013
2014 Standout
Big Data Analytics in Intelligent Transportation Systems: A Survey
2018 Standout
A space–time diurnal method for short-term freeway travel time prediction
2013
Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning
2013
Adaptive hybrid fuzzy rule-based system approach for modeling and predicting urban traffic flow
2008
Emotion recognition using EEG signals with relative power values and Bayesian network
2009
GCB-Net: Graph Convolutional Broad Network and Its Application in Emotion Recognition
2019 Standout
PPCA-Based Missing Data Imputation for Traffic Flow Volume: A Systematical Approach
2009
A Review of Machine Learning and IoT in Smart Transportation
2019 Standout
A distributed spatial–temporal weighted model on MapReduce for short-term traffic flow forecasting
2015
Research on Traffic Flow Prediction in the Big Data Environment Based on the Improved RBF Neural Network
2017
A survey on ensemble learning
2019 Standout
MF-CNN: Traffic Flow Prediction Using Convolutional Neural Network and Multi-Features Fusion
2019
Deep belief network based deterministic and probabilistic wind speed forecasting approach
2016 Standout
A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation
2018 Standout
A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system
2015
Data-Driven Intelligent Transportation Systems: A Survey
2011 Standout
Data-intensive applications, challenges, techniques and technologies: A survey on Big Data
2014 Standout
Efficient missing data imputing for traffic flow by considering temporal and spatial dependence
2013
Long short-term memory neural network for traffic speed prediction using remote microwave sensor data
2015 Standout
Calculation of reactivity in subcritical reactors using the method of partial derivatives
2013
T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction
2019 Standout
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
2017 Standout
Traffic Flow Prediction With Big Data: A Deep Learning Approach
2014 Standout
A computational intelligence‐based approach for short‐term traffic flow prediction
2010
A tensor-based method for missing traffic data completion
2013 Standout
Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges
2019
Distributed Modeling in a MapReduce Framework for Data-Driven Traffic Flow Forecasting
2012
Parallel processing algorithm for railway signal fault diagnosis data based on cloud computing
2018 Standout
A Bayesian forecasting and anomaly detection framework for vehicular monitoring networks
2017
Works of Ganglin Yu being referenced
Optimization treatment of point-wise nuclear data in Monte Carlo criticality and burnup calculations
2011
A Bayesian Network Approach to Traffic Flow Forecasting
2006