| Resilience-based post-disaster recovery strategies for road-bridge networks W Zhang, N Wang, C Nicholson Structure and Infrastructure Engineering 13 (11), 1404-1413, 2017 | 235 | 2017 |
| Flow-based vulnerability measures for network component importance: Experimentation with preparedness planning CD Nicholson, K Barker, JE Ramirez-Marquez Reliability Engineering & System Safety 145, 62-73, 2016 | 116 | 2016 |
| Defining resilience analytics for interdependent cyber-physical-social networks K Barker, JH Lambert, CW Zobel, AH Tapia, JE Ramirez-Marquez, ... Sustainable and Resilient Infrastructure 2 (2), 59-67, 2017 | 109 | 2017 |
| Port disruption impact on the maritime supply chain: a literature review V Wendler-Bosco, C Nicholson Sustainable and Resilient Infrastructure 5 (6), 378-394, 2020 | 90 | 2020 |
| Deep convolutional neural networks as a geological image classification tool RP De Lima, A Bonar, DD Coronado, K Marfurt, C Nicholson The Sedimentary Record 17 (2), 4-9, 2019 | 73 | 2019 |
| Petrographic microfacies classification with deep convolutional neural networks RP de Lima, D Duarte, C Nicholson, R Slatt, KJ Marfurt Computers & geosciences 142, 104481, 2020 | 69 | 2020 |
| A multi-criteria decision analysis approach for importance identification and ranking of network components Y Almoghathawi, K Barker, CM Rocco, CD Nicholson Reliability Engineering & System Safety 158, 142-151, 2017 | 65 | 2017 |
| Probabilistic prediction of postdisaster functionality loss of community building portfolios considering utility disruptions W Zhang, P Lin, N Wang, C Nicholson, X Xue Journal of Structural Engineering 144 (4), 04018015, 2018 | 63 | 2018 |
| Quantitative analysis of social media sensitivity to natural disasters SKT Bhavaraju, C Beyney, C Nicholson International journal of disaster risk reduction 39, 101251, 2019 | 56 | 2019 |
| A multi-objective optimization model for retrofit strategies to mitigate direct economic loss and population dislocation W Zhang, C Nicholson Sustainable and Resilient Infrastructure 1 (3-4), 123-136, 2016 | 47 | 2016 |
| A multi-industry economic impact perspective on adaptive capacity planning in a freight transportation network M Darayi, K Barker, CD Nicholson International Journal of Production Economics 208, 356-368, 2019 | 45 | 2019 |
| The uncapacitated time-space fixed-charge network flow problem: an empirical investigation of procedures for arc capacity assignment JL Kennington, CD Nicholson INFORMS Journal on Computing 22 (2), 326-337, 2010 | 33 | 2010 |
| Optimal network flow: A predictive analytics perspective on the fixed-charge network flow problem CD Nicholson, W Zhang Computers & Industrial Engineering 99, 260-268, 2016 | 21 | 2016 |
| A machine learning and clustering-based approach for county-level COVID-19 analysis C Nicholson, L Beattie, M Beattie, T Razzaghi, S Chen Plos one 17 (4), e0267558, 2022 | 20 | 2022 |
| Objective scaling ensemble approach for integer linear programming W Zhang, CD Nicholson Journal of Heuristics 26, 1-19, 2020 | 19 | 2020 |
| Visual analytics for decision-making during pandemics A Reinert, LS Snyder, J Zhao, AS Fox, DF Hougen, C Nicholson, DS Ebert Computing in Science & Engineering 22 (6), 48-59, 2020 | 17 | 2020 |
| Modeling the economic impact of incoming tropical cyclones using machine learning V Wendler-Bosco, C Nicholson Natural Hazards 110 (1), 487-518, 2022 | 12 | 2022 |
| Enhancing bridge performance following earthquakes using Markov decision process W Tao, N Wang, B Ellingwood, C Nicholson Structure and Infrastructure Engineering 17 (1), 62-73, 2021 | 10 | 2021 |
| Prediction-based relaxation solution approach for the fixed charge network flow problem W Zhang, CD Nicholson Computers & Industrial Engineering 99, 106-111, 2016 | 9 | 2016 |
| Feature extraction for heroin-use classification using imbalanced random forest methods M Beattie, C Nicholson Substance Use & Misuse 56 (1), 123-130, 2021 | 8 | 2021 |
Weili ZhangPh.D., University of Oklahoma; Researcher, NISTAdresse e-mail validée de ou.edu