Katherine Fu

66 papers receiving 1.5k citations

Peers

Katherine Fu
Comparison fields: 5 of 113
  • Management of Technology and Innovation 429
  • Experimental and Cognitive Psychology 535
  • Mechanical Engineering 1.1k
  • Computer Science Applications 107
  • Industrial and Manufacturing Engineering 195
Replace Andy Dong with:
Andy Dong Australia
Thomas J. Howard Denmark
Noé Vargas-Hernández United States
Petra Badke‐Schaub Netherlands
Elies Dekoninck United Kingdom
Christopher McComb United States
Vimal Viswanathan United States
Saeema Ahmed‐Kristensen Denmark
L. H. Shu Canada
Kathryn Jablokow United States
Katherine Fu relative to Andy Dong Australia Andy Dong's profile →
Citations per field
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Andy Dong · 1×
Citations per year

Countries citing papers authored by Katherine Fu

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
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3 20250
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6 20231
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8 20237
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10 20224
11 20221
12 20212
13 20217
14 202012
15 20199
16
LDA v. LSA: A Comparison of Two Computational Text Analysis Tools for the Functional Categorization of Patents
201618
17 20161
18 201531
19 201219
20 20091

About Katherine Fu

Katherine Fu is a scholar working on Management of Technology and Innovation, Architecture, Experimental and Cognitive Psychology, Mechanical Engineering and Industrial and Manufacturing Engineering, having authored 74 papers that have together received 1.6k indexed citations. Recurring topics across this work include Design Education and Practice (40 papers), Product Development and Customization (21 papers), Creativity in Education and Neuroscience (16 papers), Manufacturing Process and Optimization (7 papers), Engineering Education and Curriculum Development (6 papers), Additive Manufacturing and 3D Printing Technologies (6 papers), Additive Manufacturing Materials and Processes (5 papers) and Visual and Cognitive Learning Processes (3 papers). The work is most often cited by research in Management of Technology and Innovation (429 citations), Experimental and Cognitive Psychology (535 citations), Mechanical Engineering (1.1k citations), Computer Science Applications (107 citations) and Industrial and Manufacturing Engineering (195 citations). Katherine Fu has collaborated with scholars based in United States, Singapore and Russia. Frequent co-authors include Kristin L. Wood, Jonathan Cagan, Christian D. Schunn, Kenneth Kotovsky, Maria C. Yang, Joel Chan, Julie Linsey, Dan Jensen, Kevin Otto and Jeremy T. Murphy. Their work appears in journals such as Journal of Mechanical Design, Artificial intelligence for engineering design analysis and manufacturing, Research in Engineering Design, International Journal of STEM Education and Journal of Computing and Information Science in 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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