Ching‐Yao Chan

4.9k total citations
168 papers, 3.4k citations indexed

About

Ching‐Yao Chan is a scholar working on Automotive Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Ching‐Yao Chan has authored 168 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Automotive Engineering, 68 papers in Control and Systems Engineering and 51 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Ching‐Yao Chan's work include Autonomous Vehicle Technology and Safety (69 papers), Traffic control and management (60 papers) and Traffic and Road Safety (45 papers). Ching‐Yao Chan is often cited by papers focused on Autonomous Vehicle Technology and Safety (69 papers), Traffic control and management (60 papers) and Traffic and Road Safety (45 papers). Ching‐Yao Chan collaborates with scholars based in United States, China and Taiwan. Ching‐Yao Chan's co-authors include Pin Wang, Xu Li, Arnaud de La Fortelle, Jian Wang, Lili Lu, Qimin Xu, Wei Wang, Masayoshi Tomizuka, Han-Shue Tan and Cong Zhao and has published in prestigious journals such as Proceedings of the IEEE, IEEE Access and Renewable Energy.

In The Last Decade

Ching‐Yao Chan

159 papers receiving 3.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ching‐Yao Chan United States 32 1.7k 1.3k 745 599 550 168 3.4k
Guofa Li China 35 1.6k 0.9× 898 0.7× 855 1.1× 494 0.8× 452 0.8× 181 4.2k
Bo Cheng China 31 1.8k 1.0× 1.1k 0.9× 514 0.7× 440 0.7× 316 0.6× 73 3.1k
Xiangmo Zhao China 35 2.1k 1.2× 1.8k 1.4× 492 0.7× 370 0.6× 822 1.5× 282 4.7k
Zhigang Xu China 29 1.5k 0.9× 1.1k 0.9× 419 0.6× 177 0.3× 455 0.8× 140 3.1k
Dominique Gruyer France 25 1.9k 1.1× 932 0.7× 310 0.4× 529 0.9× 285 0.5× 137 4.0k
Markus Maurer Germany 22 1.7k 1.0× 778 0.6× 463 0.6× 386 0.6× 164 0.3× 115 2.7k
Sébastien Glaser France 23 1.6k 1.0× 982 0.8× 298 0.4× 306 0.5× 306 0.6× 121 2.8k
Lingxi Li United States 31 892 0.5× 808 0.6× 216 0.3× 478 0.8× 416 0.8× 187 3.1k
Ding Zhao United States 30 1.5k 0.9× 789 0.6× 459 0.6× 996 1.7× 246 0.4× 141 3.1k
Chao Huang China 35 1.7k 1.0× 1.3k 1.1× 258 0.3× 446 0.7× 284 0.5× 194 4.0k

Countries citing papers authored by Ching‐Yao Chan

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Yao Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Yao Chan. 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 Ching‐Yao Chan. The network helps show where Ching‐Yao Chan may publish in the future.

Co-authorship network of co-authors of Ching‐Yao Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Yao Chan. A scholar is included among the top collaborators of Ching‐Yao Chan 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 Ching‐Yao Chan. Ching‐Yao Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
He, Yi, et al.. (2024). Multiple Aerial Videos-Based Long-Distance Vehicle Trajectory Construction With Spatiotemporal Continuity. IEEE Transactions on Intelligent Vehicles. 10(5). 3355–3367. 3 indexed citations
2.
Yang, Biao, et al.. (2024). TPPO: A Novel Trajectory Predictor With Pseudo Oracle. IEEE Transactions on Systems Man and Cybernetics Systems. 54(5). 2846–2859. 15 indexed citations
3.
Zhao, Cong, Yifan Zhu, Yuchuan Du, Feixiong Liao, & Ching‐Yao Chan. (2022). A Novel Direct Trajectory Planning Approach Based on Generative Adversarial Networks and Rapidly-Exploring Random Tree. IEEE Transactions on Intelligent Transportation Systems. 23(10). 17910–17921. 65 indexed citations
4.
Ma, Yanli, et al.. (2022). Multi-Vehicle Interactive Lane-Changing Velocity Change Model Based on Potential Energy Field. Transportation Research Record Journal of the Transportation Research Board. 2676(11). 306–323. 5 indexed citations
5.
Yang, Biao, et al.. (2021). A Novel Graph-Based Trajectory Predictor With Pseudo-Oracle. IEEE Transactions on Neural Networks and Learning Systems. 33(12). 7064–7078. 46 indexed citations
6.
Shi, Tianyu, Pin Wang, Xuxin Cheng, Ching‐Yao Chan, & Ding‐Hsiang Huang. (2019). Driving Decision and Control for Automated Lane Change Behavior based on Deep Reinforcement Learning. 2895–2900. 58 indexed citations
7.
Wang, Pin & Ching‐Yao Chan. (2017). Formulation of deep reinforcement learning architecture toward autonomous driving for on-ramp merge. arXiv (Cornell University). 1–6. 103 indexed citations
8.
Zhang, Weibin, James A Misener, Ching‐Yao Chan, Kun Zhou, & Jingquan Li. (2014). Feasibility Assessment of a Truck Automation Deployment Framework. Transportation Research Board 93rd Annual MeetingTransportation Research Board. 1 indexed citations
9.
Jang, Kitae, et al.. (2013). Operational Performance of High-Occupancy Vehicle (HOV) Facilities: Comparison of Contiguous and Limited Access HOV Lanes in California. Transportation Research Board 92nd Annual MeetingTransportation Research Board. 1 indexed citations
10.
Chan, Ching‐Yao. (2012). Monitoring and Improving Roadway Surface Conditions for Safe Driving Environment and Sustainable Infrastructure. PATH research report. 2 indexed citations
11.
Chan, Ching‐Yao, et al.. (2011). Implementation and Evaluation of Automated Vehicle Occupancy Verification. RePEc: Research Papers in Economics. 3 indexed citations
12.
Chung, Koohong, et al.. (2009). Analysis of Wet Weather Related Collision Concentration Locations: Empirical Assessment of Continuous Risk Profile. eScholarship (California Digital Library). 2 indexed citations
13.
Jang, Kitae, Koohong Chung, David R. Ragland, & Ching‐Yao Chan. (2008). Comparison of collisions on HOV facilities with limited and continuous access during peak hours. Transportation Research Board 87th Annual MeetingTransportation Research Board. 2 indexed citations
14.
Chan, Ching‐Yao. (2002). A System Review of Magnetic Sensing System for Ground Vehicle Control and Guidance. eScholarship (California Digital Library). 18 indexed citations
15.
Chan, Ching‐Yao, et al.. (2001). Safety Assessment of Advanced Vehicle Control and Safety Systems (AVCSS): A Case Study. eScholarship (California Digital Library). 1 indexed citations
16.
Burton, Frances, et al.. (2000). DEVELOP PERFORMANCE SPECIFICATIONS FOR FRONTAL COLLISION WARNING SYSTEM FOR TRANSIT BUSES. 1 indexed citations
17.
Chan, Ching‐Yao. (1997). Collision Analysis Of Vehicle Following Operations By Two-dimensional Simulation Model: Part I - Effects Of Operational Variables. eScholarship (California Digital Library). 2 indexed citations
18.
Chan, Ching‐Yao. (1997). Collision Analysis Of Vehicle Following Operations By Two-dimensional Simulation Model: Part II- Vehicle Trajectories With Follow-up Maneuvers. eScholarship (California Digital Library). 1 indexed citations
19.
Chan, Ching‐Yao, et al.. (1994). THE DEVELOPMENT OF SEA-AIR INTERMODAL TRANSPORTATION: AN ASSESSMENT OF GLOBAL TRENDS. Logistics and transportation review. 30(4). 5 indexed citations
20.
Chan, Ching‐Yao, et al.. (1975). DESIGN OF A FIRE PROOF VEHICLE. NASA STI/Recon Technical Report N. 76. 21356. 1 indexed citations

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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