Leah Chong

421 total citations
15 papers, 251 citations indexed

About

Leah Chong is a scholar working on Social Psychology, Mechanical Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Leah Chong has authored 15 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Social Psychology, 6 papers in Mechanical Engineering and 4 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Leah Chong's work include Human-Automation Interaction and Safety (7 papers), Design Education and Practice (6 papers) and Technology Assessment and Management (4 papers). Leah Chong is often cited by papers focused on Human-Automation Interaction and Safety (7 papers), Design Education and Practice (6 papers) and Technology Assessment and Management (4 papers). Leah Chong collaborates with scholars based in United States, Netherlands and Hong Kong. Leah Chong's co-authors include Jonathan Cagan, Kenneth Kotovsky, Guanglu Zhang, Kosa Goucher-Lambert, Maria C. Yang, Faez Ahmed, Steven P. Dow, Qihao Zhu, Jianxi Luo and Mo Hu and has published in prestigious journals such as Computers in Human Behavior, Journal of Mechanical Design and International Journal of Human-Computer Interaction.

In The Last Decade

Leah Chong

14 papers receiving 247 citations

Peers

Leah Chong

SPS

Qian Pan United States

Sonja Kristine Ötting Germany

Christopher Flathmann United States

Katy Ilonka Gero United States

Deniz İren Netherlands

Dan Conway United States

Maaike Harbers Netherlands

Erica Palmerini Italy

Rudy Boonekamp Netherlands

EunJeong Cheon United States

Qian Pan United States

Leah Chong

152 ×1.6

73 ×0.9

98 ×1.2

22 ×0.6

30 ×1.2

SPS

Citations per year, relative to Leah Chong Leah Chong (= 1×) peers Qian Pan

Countries citing papers authored by Leah Chong

Since Specialization

Citations

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

Fields of papers citing papers by Leah Chong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leah Chong

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

All Works

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15 of 15 papers shown

Chong, Leah, et al.. (2025). Prompting for products: investigating design space exploration strategies for text-to-image generative models. Design Science. 11. 3 indexed citations

Chong, Leah, et al.. (2024). The effect of targeting both quantitative and qualitative objectives in generative design tools on the design outcomes. Research in Engineering Design. 35(4). 409–425. 1 indexed citations

Chong, Leah, et al.. (2024). CAD-Prompted Generative Models: A Pathway to Feasible and Novel Engineering Designs. 2 indexed citations

Zhu, Qihao, Leah Chong, Maria C. Yang, & Jianxi Luo. (2024). Reading Users’ Minds from What They Say: An Investigation into LLM-based Empathic Mental Inference. 5 indexed citations

Hu, Mo, Guanglu Zhang, Leah Chong, Jonathan Cagan, & Kosa Goucher-Lambert. (2024). How Being Outvoted by AI Teammates Impacts Human-AI Collaboration. International Journal of Human-Computer Interaction. 1–18. 5 indexed citations

Chong, Leah, Kenneth Kotovsky, & Jonathan Cagan. (2024). Human Designers' Dynamic Confidence and Decision-Making When Working With More Than One Artificial Intelligence. Journal of Mechanical Design. 146(8). 6 indexed citations

Zhu, Qihao, Leah Chong, Maria C. Yang, & Jianxi Luo. (2024). Reading Users' Minds With Large Language Models: Mental Inference for Artificial Empathy in Design. Journal of Mechanical Design. 147(6).

Chong, Leah & Maria C. Yang. (2023). AI VS. HUMAN: THE PUBLIC'S PERCEPTIONS OF THE DESIGN ABILITIES OF ARTIFICIAL INTELLIGENCE. Proceedings of the Design Society. 3. 495–504. 5 indexed citations

Chong, Leah, Guanglu Zhang, Kosa Goucher-Lambert, Kenneth Kotovsky, & Jonathan Cagan. (2023). Data on human decision, feedback, and confidence during an artificial intelligence-assisted decision-making task. Data in Brief. 46. 108884–108884. 3 indexed citations

10.

Yang, Maria C., et al.. (2023). Form Attributes to Measure and Understand Aesthetic Preferences. 1 indexed citations

11.

Chong, Leah, et al.. (2022). Collaborative Design Decision-Making With Artificial Intelligence: Exploring the Evolution and Impact of Human Confidence in AI and in Themselves. 4 indexed citations

12.

Chong, Leah, et al.. (2022). The Evolution and Impact of Human Confidence in Artificial Intelligence and in Themselves on AI-Assisted Decision-Making in Design. Journal of Mechanical Design. 145(3). 20 indexed citations

13.

Chong, Leah, Kenneth Kotovsky, & Jonathan Cagan. (2022). Are Confident Designers Good Teammates to Artificial Intelligence?: A Study of Self-Confidence, Competence, and Collaborative Performance. Proceedings of the Design Society. 2. 1531–1540. 3 indexed citations

14.

Zhang, Guanglu, Leah Chong, Kenneth Kotovsky, & Jonathan Cagan. (2022). Trust in an AI versus a Human teammate: The effects of teammate identity and performance on Human-AI cooperation. Computers in Human Behavior. 139. 107536–107536. 64 indexed citations

15.

Chong, Leah, Guanglu Zhang, Kosa Goucher-Lambert, Kenneth Kotovsky, & Jonathan Cagan. (2021). Human confidence in artificial intelligence and in themselves: The evolution and impact of confidence on adoption of AI advice. Computers in Human Behavior. 127. 107018–107018. 129 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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