| A comprehensive review of digital twin—part 1: modeling and twinning enabling technologies A Thelen, X Zhang, O Fink, Y Lu, S Ghosh, BD Youn, MD Todd, ... Structural and Multidisciplinary Optimization 65 (12), 354, 2022 | 260 | 2022 |
| Identifying influential nodes in weighted networks based on evidence theory D Wei, X Deng, X Zhang, Y Deng, S Mahadevan Physica A: Statistical Mechanics and its Applications 392 (10), 2564-2575, 2013 | 258 | 2013 |
| An evidential DEMATEL method to identify critical success factors in emergency management Y Li, Y Hu, X Zhang, Y Deng, S Mahadevan Applied Soft Computing 22, 504-510, 2014 | 232 | 2014 |
| Bayesian neural networks for flight trajectory prediction and safety assessment X Zhang, S Mahadevan Decision Support Systems 131, 113246, 2020 | 191 | 2020 |
| Ensemble machine learning models for aviation incident risk prediction X Zhang, S Mahadevan Decision Support Systems 116, 48-63, 2019 | 188 | 2019 |
| Resilience-Based Network Design Under Uncertainty X Zhang, S Mahadevan, S Sankararaman, K Goebel Reliability Engineering & System Safety 169, 364-379, 2018 | 167 | 2018 |
| Bayesian network modeling of accident investigation reports for aviation safety assessment X Zhang, S Mahadevan Reliability Engineering & System Safety, 107371, 2021 | 159 | 2021 |
| Route selection for emergency logistics management: A bio-inspired algorithm X Zhang, Z Zhang, Y Zhang, D Wei, Y Deng Safety Science 54, 87-91, 2013 | 146 | 2013 |
| A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives A Thelen, X Zhang, O Fink, Y Lu, S Ghosh, BD Youn, MD Todd, ... Structural and Multidisciplinary Optimization 66 (1), 1-43, 2023 | 121 | 2023 |
| Reliability analysis with linguistic data: An evidential network approach X Zhang, S Mahadevan, X Deng Reliability Engineering & System Safety 162, 111-121, 2017 | 119 | 2017 |
| Solving 0-1 knapsack problems based on amoeboid organism algorithm X Zhang, S Huang, Y Hu, Y Zhang, S Mahadevan, Y Deng Applied Mathematics and Computation 219 (19), 9959-9970, 2013 | 118 | 2013 |
| Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial V Nemani, L Biggio, X Huan, Z Hu, O Fink, A Tran, Y Wang, X Zhang, ... Mechanical Systems and Signal Processing 205, 110796, 2023 | 117 | 2023 |
| IFSJSP: a novel methodology for the job-shop scheduling problem based on intuitionistic fuzzy sets X Zhang, Y Deng, FTS Chan, P Xu, S Mahadevan, Y Hu International Journal of Production Research 51 (17), 5100-5119, 2013 | 100 | 2013 |
| A bio-inspired methodology of identifying influential nodes in complex networks C Gao, X Lan, X Zhang, Y Deng PloS one 8 (6), e66732, 2013 | 86 | 2013 |
| Aircraft re-routing optimization and performance assessment under uncertainty X Zhang, S Mahadevan Decision Support Systems 96, 67-82, 2017 | 85 | 2017 |
| Supplier selection based on evidence theory and analytic network process X Zhang, Y Deng, FTS Chan, A Adamatzky, S Mahadevan Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2016 | 83 | 2016 |
| Sequential deep learning from NTSB reports for aviation safety prognosis X Zhang, P Srinivasan, S Mahadevan Safety Science 142, 105390, 2021 | 73 | 2021 |
| Towards risk-aware artificial intelligence and machine learning systems: An overview X Zhang, FTS Chan, C Yan, I Bose Decision Support Systems 159, 113800, 2022 | 68 | 2022 |
| A modified multi-criterion optimization genetic algorithm for order distribution in collaborative supply chain H Zhang, Y Deng, FTS Chan, X Zhang Applied Mathematical Modelling 37 (14-15), 7855-7864, 2013 | 65 | 2013 |
| Explainable machine learning in image classification models: An uncertainty quantification perspective X Zhang, FTS Chan, S Mahadevan Knowledge-Based Systems 243, 108418, 2022 | 64 | 2022 |
Sankaran MahadevanJohn R. Murray Sr. Professor of EngineeringVerified email at vanderbilt.edu
