Yi‐Ching Lee

2.2k total citations · 1 hit paper
90 papers, 1.5k citations indexed

About

Yi‐Ching Lee is a scholar working on Social Psychology, Safety, Risk, Reliability and Quality and Automotive Engineering. According to data from OpenAlex, Yi‐Ching Lee has authored 90 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Social Psychology, 32 papers in Safety, Risk, Reliability and Quality and 20 papers in Automotive Engineering. Recurrent topics in Yi‐Ching Lee's work include Human-Automation Interaction and Safety (40 papers), Traffic and Road Safety (32 papers) and Transportation and Mobility Innovations (10 papers). Yi‐Ching Lee is often cited by papers focused on Human-Automation Interaction and Safety (40 papers), Traffic and Road Safety (32 papers) and Transportation and Mobility Innovations (10 papers). Yi‐Ching Lee collaborates with scholars based in United States, Taiwan and Australia. Yi‐Ching Lee's co-authors include Yao-Fen Wang, Chen‐Tsang Tsai, Suping Chen, Jason S. McCarley, Ensar Becic, Jwu‐Sheng Hu, John D. Lee, Jessica H. Mirman, Linda Ng Boyle and Flaura K. Winston and has published in prestigious journals such as Journal of Neuroscience, International Journal of Molecular Sciences and Expert Systems with Applications.

In The Last Decade

Yi‐Ching Lee

84 papers receiving 1.4k citations

Hit Papers

Measurement of Trust in Automation: A Narrative Review an... 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi‐Ching Lee United States 18 598 346 250 226 175 90 1.5k
Tingru Zhang China 24 1.1k 1.9× 704 2.0× 149 0.6× 779 3.4× 241 1.4× 62 2.7k
Nicole van Nes Netherlands 15 299 0.5× 311 0.9× 82 0.3× 164 0.7× 120 0.7× 56 1.0k
Kris Brijs Belgium 27 704 1.2× 1.1k 3.2× 132 0.5× 257 1.1× 191 1.1× 122 1.9k
Sherrie-Anne Kaye Australia 21 662 1.1× 509 1.5× 51 0.2× 471 2.1× 109 0.6× 76 1.8k
Liang Ma China 19 549 0.9× 183 0.5× 76 0.3× 115 0.5× 44 0.3× 73 1.5k
Esko Lehtonen Finland 19 521 0.9× 362 1.0× 121 0.5× 276 1.2× 52 0.3× 47 972
Rubén Daniel Ledesma Argentina 23 366 0.6× 439 1.3× 82 0.3× 72 0.3× 37 0.2× 105 1.8k
Mary F. Lesch United States 25 1.2k 2.0× 749 2.2× 980 3.9× 298 1.3× 81 0.5× 55 2.9k
Yvonne Barnard United Kingdom 14 384 0.6× 269 0.8× 54 0.2× 239 1.1× 71 0.4× 46 1.3k

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-authorship network of co-authors of Yi‐Ching Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Ching Lee. A scholar is included among the top collaborators of Yi‐Ching Lee 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 Yi‐Ching Lee. Yi‐Ching Lee 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
2.
Luckett, Tim, et al.. (2024). Management of pain in cancer patients— lessons from practices during the COVID-19: a qualitative study of cancer care providers’ perspectives. BMC Health Services Research. 24(1). 232–232. 2 indexed citations
3.
Lee, Yi‐Ching, et al.. (2023). Impact of Monitoring Requests on Publics’ Assignment of Blame and Praise towards ADS Level 3 Vehicles. Human Behavior and Emerging Technologies. 2023. 1–14. 1 indexed citations
4.
Lee, Yi‐Ching, et al.. (2023). Gender Differences in Responsibility Assignment Towards Level 3-ADS Vehicles. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 67(1). 1757–1762. 1 indexed citations
5.
Lee, Yi‐Ching, et al.. (2023). First Time Use of an Autonomous Food Delivery Robot: Effects of Affect and Delivery Scenarios. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 67(1). 471–476. 1 indexed citations
6.
Lee, Yi‐Ching, et al.. (2023). A Framework of Vehicle-Human Communication Features at Traffic Intersections to Enhance Trust and Situation Awareness. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 67(1). 1154–1160.
7.
Lee, Yi‐Ching, et al.. (2021). User Experience and Analysis of an Autonomous Shuttle Service. 370–377. 2 indexed citations
8.
Krall, Jenna R., et al.. (2021). Commuter types identified using clustering and their associations with source-specific PM2.5. Environmental Research. 200. 111419–111419. 4 indexed citations
9.
Lin, Hwai‐Ting, et al.. (2021). Effects of Prenatal Phthalate Exposure and Childhood Exercise on Maternal Behaviors in Female Rats at Postpartum: A Role of Oxtr Methylation in the Hypothalamus. International Journal of Molecular Sciences. 22(18). 9847–9847. 5 indexed citations
10.
Lee, Yi‐Ching, et al.. (2021). User Experience and Analysis of an Autonomous Shuttle Service. 370–377. 1 indexed citations
11.
Lee, Yi‐Ching, et al.. (2020). Are parents ready to use autonomous vehicles to transport children? Concerns and safety features. Journal of Safety Research. 72. 287–297. 23 indexed citations
12.
Krall, Jenna R., et al.. (2020). Estimating exposure to traffic-related PM2.5 for women commuters using vehicle and personal monitoring. Environmental Research. 187. 109644–109644. 7 indexed citations
13.
González, Avelino J., et al.. (2018). Machine Learning from Observation to Detect Abnormal Driving Behavior in Humans.. Journal of International Crisis and Risk Communication Research. 152–157. 2 indexed citations
14.
Lee, Yi‐Ching, et al.. (2018). Design of an experimental protocol to examine medication non-adherence among young drivers diagnosed with ADHD: A driving simulator study. Contemporary Clinical Trials Communications. 11. 149–155. 6 indexed citations
15.
Ontañón, Santiago, Yi‐Ching Lee, Sam Snodgrass, Flaura K. Winston, & Avelino J. González. (2017). Learning to Predict Driver Behavior from Observation.. Journal of International Crisis and Risk Communication Research. 7 indexed citations
16.
Romer, Dan, Yi‐Ching Lee, Catherine C. McDonald, & Flaura K. Winston. (2014). Adolescence, Attention Allocation, and Driving Safety. Journal of Adolescent Health. 54(5). S6–S15. 59 indexed citations
17.
Lee, Yi‐Ching, et al.. (2014). The prevalence of ocular diseases in primary and junior high school students on Orchid Island. Tzu Chi Medical Journal. 26(4). 166–169. 2 indexed citations
18.
McDonald, Catherine C., et al.. (2013). Evaluation of Unintended Training Effects from Collision Scenarios in a Simulated Assessment for Young Novice Drivers. Transportation Research Board 92nd Annual MeetingTransportation Research Board. 1 indexed citations
20.
Wang, Dean‐Chuan, Shun-Sheng Chen, Yi‐Ching Lee, & Tsan‐Ju Chen. (2006). Amyloid-β at sublethal level impairs BDNF-induced arc expression in cortical neurons. Neuroscience Letters. 398(1-2). 78–82. 37 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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