Yi‐Ching Lee

86 papers receiving 1.5k citations

Yi‐Ching Lee's Hit Papers

Measurement of Trust in Automation: A Narrative Review and Reference Guide 2021 · 164 citations
1640+1+3Years since publication50100150

Peers

Yi‐Ching Lee
Comparison fields: 5 of 149
  • Safety, Risk, Reliability and Quality 296
  • Social Psychology 579
  • Transportation 132
  • Automotive Engineering 230
  • Marketing 172
Replace Luís Nunes with:
Luís Nunes Portugal
Alexander Meschtscherjakov Austria
Andrew L. Kun United States
Sherrie-Anne Kaye Australia
Liang Ma China
Duncan P. Brumby United Kingdom
Yvonne Barnard United Kingdom
Mary F. Lesch United States
Philipp Wintersberger Germany
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Citations per year

Countries citing papers authored by Yi‐Ching Lee

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Ching Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013206
2 2011190
3
Measurement of Trust in Automation: A Narrative Review and Reference Guide
Hit paper breakdown →
2021164
4 2007100
5 201880
6 201462
7 201059
8 202152
9 200941
10 200637
11 202133
12 201029
13 201227
14 201826
15 201626
16 202024
17 202321
18 200320
19 202119
20 201516

About Yi‐Ching Lee

Yi‐Ching Lee is a scholar working on Social Psychology, Safety, Risk, Reliability and Quality, Automotive Engineering, Cognitive Neuroscience and Transportation, having authored 92 papers that have together received 1.6k indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (37 papers), Traffic and Road Safety (30 papers), Transportation and Mobility Innovations (9 papers), Vehicle emissions and performance (7 papers), Urban Transport and Accessibility (7 papers), Older Adults Driving Studies (7 papers), Neural and Behavioral Psychology Studies (5 papers) and Injury Epidemiology and Prevention (5 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (296 citations), Social Psychology (579 citations), Transportation (132 citations), Automotive Engineering (230 citations) and Marketing (172 citations). Yi‐Ching Lee has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Suping Chen, Yao-Fen Wang, Chen‐Tsang Tsai, Jessica H. Mirman, Jwu‐Sheng Hu, Ensar Becic, Jason S. McCarley, Flaura K. Winston, John D. Lee and Linda Ng Boyle. Their work appears in journals such as Human Factors The Journal of the Human Factors and Ergonomics Society, Accident Analysis & Prevention, Transportation Research Part F Traffic Psychology and Behaviour, Environmental Research and Human Behavior and Emerging Technologies.

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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