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Zhenyu Cheryl Qian

Researcher at Purdue University

Publications -  41
Citations -  160

Zhenyu Cheryl Qian is an academic researcher from Purdue University. The author has contributed to research in topics: Visualization & Visual analytics. The author has an hindex of 6, co-authored 39 publications receiving 120 citations. Previous affiliations of Zhenyu Cheryl Qian include Simon Fraser University.

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Dissertation

Design patterns: augmenting design practice in parametric CAD systems

TL;DR: It is hypothesize that a designer's learning and working process in parametric modeling applications can be well modeled by patterns, and making such patterns explicit can result in improved expert work practices, better learning material and support for collaborative design inparametric design environments.
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Visualizing Rank Time Series of Wikipedia Top-Viewed Pages

TL;DR: The WikiTopReader system as mentioned in this paper, a reader of Wikipedia page rank, lets users explore connections among top-viewed pages by connecting page-rank behaviors with page-link relations.
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Effects of perception of head-up display on the driving safety of experienced and inexperienced drivers

TL;DR: Based on the study, an optimized design strategy for the HUD interface is provided and it is suggested the HUD design should give special consideration for inexperienced drivers.
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Design Thinking Driven Interdisciplinary Entrepreneurship. A Case Study of College Students Business Plan Competition

TL;DR: In this paper, the authors present a case study of college students' business plan competition at the 13th International Conference of the European Academy of Design, Dundee, 10-12th April 2019, edited by Louise Valentine, Joanna Bletcher and Leon Cruickshank.
Journal ArticleDOI

MetricsVis: A Visual Analytics System for Evaluating Employee Performance in Public Safety Agencies

TL;DR: MetricsVis as discussed by the authors is a visual analytics system composed of multiple coordinated views to support the dynamic evaluation and comparison of individual, team, and organizational performance in public safety organizations, and provides four primary visual components to expedite performance evaluation: a priority adjustment view to support direct manipulation on evaluation metrics; a reorderable performance matrix to demonstrate the details of individual employees; a group performance view that highlights aggregate performance and individual contributions for each group; and a projection view illustrating employees with similar specialties to facilitate shift assignments and training.