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Zhenghui Sha
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Cited by
Cited by
Year
Behavioral Experimentation and Game Theory in Engineering Systems Design
Z Sha, K Kannan, J Panchal
Journal of Mechanical Design, 2015
542015
A computer-aided design based research platform for design thinking studies
MH Rahman, C Schimpf, C Xie, Z Sha
Journal of Mechanical Design 141 (12), 121102, 2019
46*2019
Understanding design decisions under competition using games with information acquisition and a behavioral experiment
JH Panchal, Z Sha, KN Kannan
Journal of Mechanical Design 139 (9), 091402, 2017
382017
Forecasting Technological Impacts on Customers’ Co-consideration Behaviors: A Data-driven Network Analysis Approach
M Wang, Z Sha, Y Huang, N Contractor, Y Fu, W Chen
42nd ASME Design Automation Conference (DAC), 2016
342016
Human-centered generative design framework: an early design framework to support concept creation and evaluation
HO Demirel, MH Goldstein, X Li, Z Sha
International Journal of Human–Computer Interaction 40 (4), 933-944, 2024
332024
Predicting sequential design decisions using the function-behavior-structure design process model and recurrent neural networks
MH Rahman, C Xie, Z Sha
Journal of Mechanical Design 143 (8), 081706, 2021
322021
A Network‐Based Approach to Modeling and Predicting Product Coconsideration Relations
Z Sha, Y Huang, JS Fu, M Wang, Y Fu, N Contractor, W Chen
Complexity 2018 (1), 2753638, 2018
312018
Predicting product co-consideration and market competitions for technology-driven product design: a network-based approach
M Wang, Z Sha, Y Huang, N Contractor, Y Fu, W Chen
Design Science 4, e9, 2018
282018
Mechanical strength of chunk-based printed parts for cooperative 3D printing
L Poudel, Z Sha, W Zhou
Procedia Manufacturing 26, 962-972, 2018
272018
Data-driven predictive modeling of tensile behavior of parts fabricated by cooperative 3d printing
Z Zhang, L Poudel, Z Sha, W Zhou, D Wu
Journal of Computing and Information Science in Engineering 20 (2), 021002, 2020
262020
Estimating Local Decision-Making Behavior in Complex Evolutionary Systems
Z Sha, JH Panchal
Journal of Mechanical Design 136 (061003), 1 - 11, 2014
262014
Towards the design of complex evolving networks with high robustness and resilience
Z Sha, JH Panchal
Procedia Computer Science 16, 522-531, 2013
252013
Predicting human design decisions with deep recurrent neural network combining static and dynamic data
MH Rahman, S Yuan, C Xie, Z Sha
Design Science 6, e15, 2020
242020
Modeling Customer Choice Preferences in Engineering Design Using Bipartite Network Analysis
J Fu, Z Sha, Y Huang, M Wang, Y Fu, N Contractor, W Chen
2017 ASME International Design Engineering Technical Conferences & Computers …, 2017
24*2017
Resource-constrained scheduling for multi-robot cooperative three-dimensional printing
L Poudel, W Zhou, Z Sha
Journal of Mechanical Design 143 (7), 072002, 2021
232021
Analyzing Participant Behaviors in Design Crowdsourcing Contests using Game Theoretic Models and Field Data
AM Chaudhari, Z Sha, JH Panchal
Journal of Mechanical Design, 2018
22*2018
Developing Competencies for the 21st Century Engineer
B Hawthorne, Z Sha, JH Panchal, F Mistree
International Design Engineering Technical Conferences and Computers and …, 2012
222012
Modeling airlines’ decisions on city-pair route selection using discrete choice models
Z Sha, K Moolchandani, JH Panchal, DA DeLaurentis
Journal of Air Transportation 24 (3), 63-73, 2016
202016
A generative approach for scheduling multi-robot cooperative three-dimensional printing
L Poudel, W Zhou, Z Sha
Journal of Computing and Information Science in Engineering 20 (6), 061011, 2020
182020
Toward swarm manufacturing: architecting a cooperative 3D printing system
L Poudel, LG Marques, RA Williams, Z Hyden, P Guerra, OL Fowler, ...
Journal of Manufacturing Science and Engineering 144 (8), 081004, 2022
172022
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