COVID-19 Detection through Transfer Learning using Multimodal Imaging Data Horry, Chakraborty, Paul, Ulhaq, Pradhan, Saha, Shukla IEEE Access, doi: 10.1109/ACCESS.2020.3016780., 2020 | 465 | 2020 |
Big data analytics and application for logistics and supply chain management K Govindan, TCE Cheng, N Mishra, N Shukla Transportation Research Part E: Logistics and Transportation Review 114, 343-349, 2018 | 342 | 2018 |
Social media data analytics to improve supply chain management in food industries A Singh, N Shukla, N Mishra Transportation Research Part E: Logistics and Transportation Reviews, 2018 | 317 | 2018 |
Deep learning approaches applied to remote sensing datasets for road extraction: A state-of-the-art review A Abdollahi, B Pradhan, N Shukla, S Chakraborty, A Alamri Remote Sensing 12 (9), 1444, 2020 | 234 | 2020 |
Barriers to big data analytics in manufacturing supply chains: A case study from Bangladesh MA Moktadir, SM Ali, SK Paul, N Shukla Computers & Industrial Engineering 128, 1063-1075, 2019 | 200 | 2019 |
Extending the supply chain to address sustainability F Taghikhah, A Voinov, N Shukla Journal of cleaner production 229, 652-666, 2019 | 176 | 2019 |
Cloud computing technology: Reducing carbon footprint in beef supply chain A Singh, N Mishra, SI Ali, N Shukla, R Shankar International Journal of Production Economics 164, 462-471, 2015 | 152 | 2015 |
Breast cancer data analysis for survivability studies and prediction N Shukla, M Hagenbuchner, KT Win, J Yang Computer Methods and Programs in Biomedicine, 2018 | 117 | 2018 |
An agent-based model for supply chain recovery in the wake of the COVID-19 pandemic T Rahman, F Taghikhah, SK Paul, N Shukla, R Agarwal Computers & Industrial Engineering 158, 107401, 2021 | 105 | 2021 |
Deep learning and explainable artificial intelligence techniques applied for detecting money laundering–a critical review DV Kute, B Pradhan, N Shukla, A Alamri IEEE access 9, 82300-82317, 2021 | 94 | 2021 |
Integrated modeling of extended agro-food supply chains: A systems approach F Taghikhah, A Voinov, N Shukla, T Filatova, M Anufriev European Journal of Operational Research, 2020 | 92 | 2020 |
X-Ray Image based COVID-19 Detection using Pre-trained Deep Learning Models MJ Horry, S Chakraborty, M Paul, A Ulhaq, B Pradhan, M Saha, N Shukla engrXiv, 2020 | 92 | 2020 |
Genetic-algorithms-based algorithm portfolio for inventory routing problem with stochastic demand N Shukla, MK Tiwari, D Ceglarek International Journal of Production Research 51 (1), 118-137, 2013 | 71 | 2013 |
Shifts in consumer behavior towards organic products: theory-driven data analytics F Taghikhah, A Voinov, N Shukla, T Filatova Journal of Retailing and Consumer Services, 2021 | 70 | 2021 |
Modeling of CO emissions from traffic vehicles using artificial neural networks OS Azeez, B Pradhan, HZM Shafri, N Shukla, CW Lee, HM Rizeei Applied Sciences 9 (2), 313, 2019 | 68 | 2019 |
Supply chain resilience initiatives and strategies: A systematic review T Rahman, SK Paul, N Shukla, R Agarwal, F Taghikhah Computers & Industrial Engineering 170, 108317, 2022 | 66 | 2022 |
Exploring consumer behavior and policy options in organic food adoption: Insights from the Australian wine sector F Taghikhah, A Voinov, N Shukla, T Filatova Environmental Science & Policy 109, Pages 116-124, 2020 | 66 | 2020 |
Sentiment analysis of customer reviews of food delivery services using deep learning and explainable artificial intelligence: Systematic review A Adak, B Pradhan, N Shukla Foods 11 (10), 1500, 2022 | 65 | 2022 |
Half a century of Computer Methods and Programs in Biomedicine: A bibliometric analysis from 1970 - 2017 N Shukla, JM Merigó, T Lammers, L Miranda Computer Methods and Programs in Biomedicine, 2020 | 62 | 2020 |
Sustainable supply chain management and multi-criteria decision-making methods: A systematic review A Paul, N Shukla, SK Paul, A Trianni Sustainability 13 (13), 7104, 2021 | 61 | 2021 |