Yinhai Wang

19.1k total citations · 9 hit papers
412 papers, 14.0k citations indexed

About

Yinhai Wang is a scholar working on Building and Construction, Transportation and Control and Systems Engineering. According to data from OpenAlex, Yinhai Wang has authored 412 papers receiving a total of 14.0k indexed citations (citations by other indexed papers that have themselves been cited), including 228 papers in Building and Construction, 184 papers in Transportation and 160 papers in Control and Systems Engineering. Recurrent topics in Yinhai Wang's work include Traffic Prediction and Management Techniques (208 papers), Transportation Planning and Optimization (154 papers) and Traffic control and management (153 papers). Yinhai Wang is often cited by papers focused on Traffic Prediction and Management Techniques (208 papers), Transportation Planning and Optimization (154 papers) and Traffic control and management (153 papers). Yinhai Wang collaborates with scholars based in United States, China and Hong Kong. Yinhai Wang's co-authors include Xiaolei Ma, Ruimin Ke, Jinjun Tang, Yunpeng Wang, Haiyang Yu, Zhiyong Cui, Zhimin Tao, Ziyuan Pu, Guohui Zhang and N L Nihan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Yinhai Wang

392 papers receiving 13.5k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Long short-term memory neural network for traffic speed prediction using remote microwave sensor data

2015 1.6k citations Yinhai Wang, Haiyang Yu et al. Transportation Research Part C Emerging Technologies profile →
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting

2019 640 citations Zhiyong Cui, Ruimin Ke et al. IEEE Transactions on Intelligent Transportation Systems profile →
Human-like autonomous car-following model with deep reinforcement learning

2018 390 citations Meixin Zhu, Xuesong Wang et al. Transportation Research Part C Emerging Technologies profile →
Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory

2015 368 citations Haiyang Yu, Yinhai Wang et al. profile →
Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving

2020 327 citations Meixin Zhu, Yinhai Wang et al. Transportation Research Part C Emerging Technologies profile →
Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values

2020 326 citations Zhiyong Cui, Ruimin Ke et al. Transportation Research Part C Emerging Technologies profile →
An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic

2017 314 citations Jinjun Tang, Fang Liu et al. IEEE Transactions on Intelligent Transportation Systems profile →
Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning

2019 252 citations Yinhai Wang et al. profile →
Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies

2019 224 citations Yinhai Wang et al. Transportation Research Part C Emerging Technologies profile →

Peers

Countries citing papers authored by Yinhai Wang

Since Specialization

Citations

This map shows the geographic impact of Yinhai Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yinhai Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinhai Wang more than expected).

Fields of papers citing papers by Yinhai Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yinhai Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yinhai Wang. The network helps show where Yinhai Wang may publish in the future.

Co-authorship network of co-authors of Yinhai Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yinhai Wang. A scholar is included among the top collaborators of Yinhai Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yinhai Wang. Yinhai Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Hi-SCL: Fighting long-tailed challenges in trajectory prediction with hierarchical wave-semantic contrastive learning 2024 ·Transportation Research Part C Emerging Technologies ·(unknown), (unknown), Haiyang Yu, Lingshan Liu, Zhenning Li, Yinhai Wang, Zhiyong Cui	4
2	Personalized Context-Aware Multi-Modal Transportation Recommendation 2024 ·Xianda Chen, Meixin Zhu, (unknown), Yinhai Wang	0
3	Compressing Vehicle Trajectory Data Using Hybrid Coding With Kinematic Motion Prediction 2024 ·IEEE Transactions on Intelligent Transportation Systems ·(unknown), Zhizhou Wu, Yinhai Wang, Jinjun Tang, (unknown)	0
4	Data-Driven Traffic Simulation: A Comprehensive Review 2024 ·IEEE Transactions on Intelligent Vehicles ·Di Chen, Meixin Zhu, Hao Yang, Xuesong Wang, Yinhai Wang	20
5	Improving Car-Following Control in Mixed Traffic: A Deep Reinforcement Learning Framework with Aggregated Human-Driven Vehicles 2024 ·(unknown), (unknown), (unknown), Meixin Zhu, Xinhu Zheng, Yinhai Wang	1
6	Cooperative multi-camera vehicle tracking and traffic surveillance with edge artificial intelligence and representation learning 2023 ·Transportation Research Part C Emerging Technologies ·Hao Yang, Jiarui Cai, Chenxi Liu, Ruimin Ke, Yinhai Wang	40
7	Integrating the traffic science with representation learning for city-wide network congestion prediction 2023 ·Information Fusion ·Wenqing Zheng, Hao Yang, Jiarui Cai, Peihao Wang, (unknown), Simon S. Du, Yinhai Wang, Zhangyang Wang	14
8	The Smartphone-Based Person Travel Survey System: Data Collection, Trip Extraction, and Travel Mode Detection 2022 ·IEEE Transactions on Intelligent Transportation Systems ·(unknown), (unknown), Quan Yuan, Chao Yang, (unknown), Yinhai Wang	11
9	Saturation Flow Rate at the Work Zone–Straddled Intersections with Interweaving Movements: Lane-Based Modeling Study 2022 ·Journal of Transportation Engineering Part A Systems ·(unknown), (unknown), (unknown), (unknown), Yinhai Wang, Jian Sun	1
10	Combining Individual Travel Preferences Into Destination Prediction: A Multi-Module Deep Learning Network 2021 ·IEEE Transactions on Intelligent Transportation Systems ·Jian Liang, Jinjun Tang, Fang Liu, Yinhai Wang	5
11	Multimodal Traffic Speed Monitoring: A Real-Time System Based on Passive Wi-Fi and Bluetooth Sensing Technology 2021 ·IEEE Internet of Things Journal ·Ziyuan Pu, Zhiyong Cui, Jinjun Tang, (unknown), Yinhai Wang	36
12	A Mixed Path Size Logit-Based Taxi Customer-Search Model Considering Spatio-Temporal Factors in Route Choice 2019 ·IEEE Transactions on Intelligent Transportation Systems ·Jinjun Tang, Yiwei Wang, Wei Hao, Fang Liu, Helai Huang, Yinhai Wang	31
13	Comparative Analysis of the Reported Animal-Vehicle Collisions Data and Carcass Removal Data for Hotspot Identification 2019 ·Journal of Advanced Transportation ·(unknown), Yajie Zou, Lingtao Wu, (unknown), Yinhai Wang, Muhammad Ijaz, Yichuan Peng	9
14	Developing a Clustering-Based Empirical Bayes Analysis Method for Hotspot Identification 2017 ·Journal of Advanced Transportation ·Yajie Zou, (unknown), John D. Ash, Ziqiang Zeng, Yinhai Wang, (unknown), Yichuan Peng	3
15	Analyzing the Impact of Grade on Fuel Consumption for the National Interstate Highway System 2016 ·Transportation Research Board 95th Annual MeetingTransportation Research Board ·(unknown), Benjamin D. Wright, (unknown), Yinhai Wang, Ziyuan Pu	4
16	A driving force model for non-strict priority crossing behaviors of right-turn drivers 2015 ·Transportation Research Part B Methodological ·(unknown), Wanjing Ma, (unknown), Yinhai Wang	20
17	Readily Implementable Signal Phasing Schemes for Diverging Diamond Interchanges 2015 ·Transportation Research Board 94th Annual MeetingTransportation Research Board ·Zong Tian, Hao Xu, (unknown), Michael Kyte, Yinhai Wang	5
18	Pedestrian Travel Pattern Discovery Using Mobile Bluetooth Sensors 2012 ·Transportation Research Board 91st Annual MeetingTransportation Research Board ·(unknown), Yinhai Wang	9
19	An Analytical Framework for Managed Lane Facility Performance Evaluation 2012 ·ITE journal ·Xiaoyue Cathy Liu, Yinhai Wang, Bastian J. Schroeder, Nagui M. Rouphail	2
20	Development of an Advanced Loop Event Data Analyzer (ALEDA) System for Dual-Loop Detector Malfunction Detection and Investigation 2005 ·(unknown), Yinhai Wang, N L Nihan	5

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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