Ching‐Yao Chan

5.0k citations
168 papers · 3.5k · h-index 32

Impact in

Papers in

Ching‐Yao Chan

161 papers receiving 3.4k citations

Peers

Ching‐Yao Chan
Comparison fields: 5 of 112
  • Automotive Engineering 1.7k
  • Safety, Risk, Reliability and Quality 743
  • Transportation 452
  • Control and Systems Engineering 1.3k
  • Building and Construction 559
Replace Xiangmo Zhao with:
Xiangmo Zhao China
Guofa Li China
Zhigang Xu China
Dominique Gruyer France
Bo Cheng China
Yang Xing Singapore
Chaozhong Wu China
Lingxi Li United States
Sébastien Glaser France
Saiedeh Razavi Canada
Ching‐Yao Chan relative to Xiangmo Zhao China Xiangmo Zhao's profile →
Citations per field
00.5×1.5×
Xiangmo Zhao · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ching‐Yao Chan, 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 Ching‐Yao Chan Line = papers co-authored together Ching‐Yao Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017198
2 2018197
3 2016177
4 2018129
5 2017122
6 2017103
7 202195
8 201882
9 202082
10 201573
11 202270
12 201766
13 201664
14 202060
15 201959
16 202158
17 201657
18 202056
19 201953
20 201751

About Ching‐Yao Chan

Ching‐Yao Chan is a scholar working on Automotive Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Building and Construction and Artificial Intelligence, having authored 168 papers that have together received 3.5k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (68 papers), Traffic control and management (60 papers), Traffic and Road Safety (45 papers), Traffic Prediction and Management Techniques (24 papers), Human-Automation Interaction and Safety (23 papers), Vehicle Dynamics and Control Systems (15 papers), Vehicular Ad Hoc Networks (VANETs) (12 papers) and Video Surveillance and Tracking Methods (12 papers). The work is most often cited by research in Automotive Engineering (1.7k citations), Safety, Risk, Reliability and Quality (743 citations), Transportation (452 citations), Control and Systems Engineering (1.3k citations) and Building and Construction (559 citations). Ching‐Yao Chan has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Pin Wang, Xu Li, Arnaud de La Fortelle, Jian Wang, Lili Lu, Qimin Xu, Wei Wang, Masayoshi Tomizuka, Cong Zhao and Han-Shue Tan. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Sensors, IET Intelligent Transport Systems, IEEE Transactions on Instrumentation and Measurement and Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering.

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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