Bin Dai

4.1k citations

215 papers · 2.7k indexed · 1 hit paper · h-index 26

Impact in

Automotive Engineering top 1%
- Autonomous Vehicle Technology and Safety
Computer Vision and Pattern Recognition top 1%
- Robotic Path Planning Algorithms
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods

Papers in ⓘ

Automotive Engineering 52
- Autonomous Vehicle Technology and Safety 48
Computer Vision and Pattern Recognition 88
- Robotic Path Planning Algorithms 22
- Advanced Neural Network Applications 21
- Video Surveillance and Tracking Methods 21
- Advanced Vision and Imaging 21

Co-authors: Daxue Liu (23 shared papers)Tao Wu (26 shared papers)Liang Xiao (28 shared papers)Ruili Wang (7 shared papers)Tongtong Chen (15 shared papers)Xin Xu (11 shared papers)Yiming Nie (25 shared papers)Yuqiang Fang (8 shared papers)
Journals: Journal of Network and Computer Applications (4 papers)IEEE Transactions on Intelligent Vehicles (4 papers)IEEE Transactions on Intelligent Transportation Systems (4 papers)Information Sciences (3 papers)Electronics (3 papers)
Partner nations: China United States Australia

In The Last Decade

Bin Dai

199 papers receiving 2.6k citations

Hit Papers

align trajectories log scale

Deep Reinforcement Learning: A Survey 2022 · 340 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2022 IEEE Transactions on Neural Networks and Learning Systems

Peers

Countries citing papers authored by Bin Dai

Since Specialization

Citations

This map shows the geographic impact of Bin Dai'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 Bin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Dai more than expected).

Fields of papers citing papers by Bin Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bin Dai. 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 Bin Dai. The network helps show where Bin Dai may publish in the future.

Co-authors

The 25 scholars most cited alongside Bin Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bin Dai Line = papers co-authored together Bin Dai links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 215 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Deep Reinforcement Learning: A Survey IEEE Transactions on Neural Networks and Learning Systems ·Xu Wang, Sen Wang, Xingxing Liang, Dawei Zhao, Jincai Huang, Xin Xu, Bin Dai, Qiguang Miao Hit paper breakdown →	2022	340
2	An improved A-Star based path planning algorithm for autonomous land vehicles International Journal of Advanced Robotic Systems ·Erke Shang, Bin Dai, Yiming Nie, Zhu Qi, Xiao Liang, Dawei Zhao	2020	158
3	Hybrid conditional random field based camera-LIDAR fusion for road detection Information Sciences ·Liang Xiao, Ruili Wang, Bin Dai, Yuqiang Fang, Daxue Liu, Tao Wu	2017	128
4	Gaussian-Process-Based Real-Time Ground Segmentation for Autonomous Land Vehicles Journal of Intelligent & Robotic Systems ·Tongtong Chen, Bin Dai, Ruili Wang, Daxue Liu	2013	107
5	CRF based road detection with multi-sensor fusion Liang Xiao, Bin Dai, Daxue Liu, Tingbo Hu, Tao Wu	2015	83
6	Using Random Forest Algorithm for Breast Cancer Diagnosis Bin Dai, Rung-Ching Chen, Shunzhi Zhu, Weiwei Zhang	2018	63
7	MCl_x (M = Hg, Au, Ru; x = 2, 3) catalyzed hydrochlorination of acetylene — A density functional theory study Canadian Journal of Chemistry ·Mingyuan Zhu, Lihua Kang, Yan Su, S.Y Zhang, Bin Dai	2013	61
8	A Dynamic Bayesian Network for Vehicle Maneuver Prediction in Highway Driving Scenarios: Framework and Verification Electronics ·Junxiang Li, Bin Dai, Xiaohui Li, Xin Xu, Daxue Liu	2019	60
9	Likelihood-Field-Model-Based Dynamic Vehicle Detection and Tracking for Self-Driving IEEE Transactions on Intelligent Transportation Systems ·Tongtong Chen, Ruili Wang, Bin Dai, Daxue Liu, Jinze Song	2016	49
10	Early to Middle Holocene sea level fluctuation, coastal progradation and the Neolithic occupation in the Yaojiang Valley of southern Hangzhou Bay, Eastern China Quaternary Science Reviews ·Yan Liu, Qianli Sun, Daidu Fan, Bin Dai, Fuwei Ma, Lichen Xu, Jing Chen, Zhongyuan Chen	2018	47
11	Bandwidth-aware energy efficient flow scheduling with SDN in data center networks Future Generation Computer Systems ·Xu Guan, Bin Dai, Benxiong Huang, Jun Yang, Sheng Wen	2016	47
12	Multivariate geostatistical analyses of heavy metals in soils: Spatial multi-scale variations in Wulian, Eastern China Ecotoxicology and Environmental Safety ·Jianshu Lv, Yang Liu, Zulu Zhang, Bin Dai	2014	46
13	Multi-Object Tracking with Correlation Filter for Autonomous Vehicle Sensors ·Dawei Zhao, Hao Fu, Liang Xiao, Tao Wu, Bin Dai	2018	44
14	Survey of network coding-aware routing protocols in wireless networks Journal of Network and Computer Applications ·Muhammad Azhar Iqbal, Bin Dai, Benxiong Huang, Ahmed Hassan M. Hassan, Shui Yu	2011	41
15	Graph-Based Learning via Auto-Grouped Sparse Regularization and Kernelized Extension IEEE Transactions on Knowledge and Data Engineering ·Yuqiang Fang, Ruili Wang, Bin Dai, Xindong Wu	2014	39
16	ORFD: A Dataset and Benchmark for Off-Road Freespace Detection 2022 International Conference on Robotics and Automation (ICRA) ·Chen Min, Wei Jiang, Dawei Zhao, Jiaolong Xu, Liang Xiao, Yiming Nie, Bin Dai	2022	38
17	Monocular Road Detection Using Structured Random Forest International Journal of Advanced Robotic Systems ·Liang Xiao, Bin Dai, Daxue Liu, Dawei Zhao, Tao Wu	2016	36
18	An improved moving target detecting and tracking based on Optical Flow technique and Kalman filter Yuqiang Fang, Bin Dai	2009	34
19	YAMR ACM SIGCOMM Computer Communication Review ·Igor Ganichev, Bin Dai, P. Brighten Godfrey, Scott Shenker	2010	34
20	Velodyne-based curb detection up to 50 meters away Tongtong Chen, Bin Dai, Daxue Liu, Jinze Song, Zhao Liu	2015	33

About Bin Dai

Bin Dai is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition, Instrumentation, Aerospace Engineering and Environmental Engineering, having authored 215 papers that have together received 2.7k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (48 papers), Robotics and Sensor-Based Localization (40 papers), Robotic Path Planning Algorithms (22 papers), Advanced Neural Network Applications (21 papers), Video Surveillance and Tracking Methods (21 papers), Remote Sensing and LiDAR Applications (21 papers), Advanced Vision and Imaging (21 papers) and Cooperative Communication and Network Coding (17 papers). The work is most often cited by research in Automotive Engineering (663 citations), Computer Vision and Pattern Recognition (1.1k citations), Environmental Engineering (411 citations), Geology (142 citations) and Instrumentation (74 citations). Bin Dai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Daxue Liu, Tao Wu, Liang Xiao, Ruili Wang, Tongtong Chen, Xin Xu, Yiming Nie, Yuqiang Fang, Dawei Zhao and Xu Wang. Their work appears in journals such as Journal of Network and Computer Applications, IEEE Transactions on Intelligent Vehicles, IEEE Transactions on Intelligent Transportation Systems, Information Sciences and Electronics.

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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