| Methods and models in process safety and risk management: Past, present and future F Khan, S Rathnayaka, S Ahmed Process safety and environmental protection 98, 116-147, 2015 | 593 | 2015 |
| A data-driven Bayesian network learning method for process fault diagnosis MT Amin, F Khan, S Ahmed, S Imtiaz Process Safety and Environmental Protection 150, 110-122, 2021 | 143 | 2021 |
| Parameter and delay estimation of continuous-time models using a linear filter S Ahmed, B Huang, SL Shah Journal of Process Control 16 (4), 323-331, 2006 | 143 | 2006 |
| A bibliometric review and analysis of data-driven fault detection and diagnosis methods for process systems M Alauddin, F Khan, S Imtiaz, S Ahmed Industrial & Engineering Chemistry Research 57 (32), 10719-10735, 2018 | 142 | 2018 |
| Novel identification method from step response S Ahmed, B Huang, SL Shah Control Engineering Practice 15 (5), 545-556, 2007 | 123 | 2007 |
| An analysis of process fault diagnosis methods from safety perspectives R Arunthavanathan, F Khan, S Ahmed, S Imtiaz Computers & Chemical Engineering 145, 107197, 2021 | 106 | 2021 |
| Dynamic hazard identification and scenario mapping using Bayesian network P Xin, F Khan, S Ahmed Process Safety and Environmental Protection 105, 143-155, 2017 | 101 | 2017 |
| A deep learning model for process fault prognosis R Arunthavanathan, F Khan, S Ahmed, S Imtiaz Process Safety and Environmental Protection 154, 467-479, 2021 | 99 | 2021 |
| Dynamic domino effect risk assessment using Petri-nets MZ Kamil, M Taleb-Berrouane, F Khan, S Ahmed Process Safety and Environmental Protection 124, 308-316, 2019 | 98 | 2019 |
| LNG pool fire simulation for domino effect analysis MM Jujuly, A Rahman, S Ahmed, F Khan Reliability Engineering & System Safety 143, 19-29, 2015 | 94 | 2015 |
| A risk-based shutdown inspection and maintenance interval estimation considering human error A Hameed, F Khan, S Ahmed Process Safety and Environmental Protection 100, 9-21, 2016 | 82 | 2016 |
| Identification from step responses with transient initial conditions S Ahmed, B Huang, SL Shah Journal of Process Control 18 (2), 121-130, 2008 | 81 | 2008 |
| Risk-based fault detection and diagnosis for nonlinear and non-Gaussian process systems using R-vine copula MT Amin, F Khan, S Ahmed, S Imtiaz Process Safety and Environmental Protection 150, 123-136, 2021 | 71 | 2021 |
| Log data-driven model and feature ranking for water saturation prediction using machine learning approach MI Miah, S Zendehboudi, S Ahmed Journal of Petroleum Science and Engineering 194, 107291, 2020 | 70 | 2020 |
| Fault detection and diagnosis in process system using artificial intelligence-based cognitive technique R Arunthavanathan, F Khan, S Ahmed, S Imtiaz, R Rusli Computers & Chemical Engineering, 106697, 2020 | 70 | 2020 |
| A novel data‐driven methodology for fault detection and dynamic risk assessment MT Amin, F Khan, S Ahmed, S Imtiaz The Canadian Journal of Chemical Engineering 98 (11), 2397-2416, 2020 | 69 | 2020 |
| Operational risk assessment model for marine vessels A Aziz, S Ahmed, F Khan, C Stack, A Lind Reliability Engineering & System Safety 185, 348-361, 2019 | 68 | 2019 |
| An ontology-based methodology for hazard identification and causation analysis A Aziz, S Ahmed, FI Khan Process Safety and Environmental Protection 123, 87-98, 2019 | 65 | 2019 |
| Machine learning approach to model rock strength: prediction and variable selection with aid of log data MI Miah, S Ahmed, S Zendehboudi, S Butt Rock Mechanics and Rock Engineering 53, 4691-4715, 2020 | 61 | 2020 |
| Multivariate probabilistic safety analysis of process facilities using the Copula Bayesian Network model SJ Hashemi, F Khan, S Ahmed Computers & Chemical Engineering 93, 128-142, 2016 | 60 | 2016 |
Faisal KhanTexas A&M University在 tamu.edu 的电子邮件经过验证
