| Industry 5.0: A survey on enabling technologies and potential applications PKR Maddikunta, QV Pham, B Prabadevi, N Deepa, K Dev, TR Gadekallu, ... Journal of Industrial Information Integration 26, 100257, 2022 | 949 | 2022 |
| A survey on blockchain for big data: Approaches, opportunities, and future directions N Deepa, QV Pham, DC Nguyen, S Bhattacharya, B Prabadevi, ... Future Generation Computer Systems 131, 209-226, 2022 | 450 | 2022 |
| Sensors driven AI-based agriculture recommendation model for assessing land suitability DR Vincent, N Deepa, D Elavarasan, K Srinivasan, SH Chauhdary, ... Sensors 19 (17), 3667, 2019 | 177 | 2019 |
| An AI-based intelligent system for healthcare analysis using Ridge-Adaline Stochastic Gradient Descent Classifier N Deepa, B Prabadevi, PK Maddikunta, TR Gadekallu, T Baker, MA Khan, ... The Journal of Supercomputing 77, 1998-2017, 2021 | 137 | 2021 |
| Blockchain for edge of things: Applications, opportunities, and challenges TR Gadekallu, QV Pham, DC Nguyen, PKR Maddikunta, N Deepa, ... IEEE Internet of Things Journal 9 (2), 964-988, 2021 | 125 | 2021 |
| Predictive model for battery life in IoT networks PK Reddy Maddikunta, G Srivastava, T Reddy Gadekallu, N Deepa, ... IET Intelligent Transport Systems 14 (11), 1388-1395, 2020 | 85 | 2020 |
| Comparative analysis of machine learning algorithms for prediction of smart grid stability† AK Bashir, S Khan, B Prabadevi, N Deepa, WS Alnumay, TR Gadekallu, ... International Transactions on Electrical Energy Systems 31 (9), e12706, 2021 | 61 | 2021 |
| Toward blockchain for edge-of-things: a new paradigm, opportunities, and future directions B Prabadevi, N Deepa, QV Pham, DC Nguyen, T Reddy, PN Pathirana, ... IEEE Internet of Things Magazine 4 (2), 102-108, 2021 | 49 | 2021 |
| Multiclass model for agriculture development using multivariate statistical method N Deepa, MZ Khan, B Prabadevi, DRV PM, PKR Maddikunta, ... IEEE Access 8, 183749-183758, 2020 | 47 | 2020 |
| Detecting COVID-19-related fake news using feature extraction S Khan, S Hakak, N Deepa, B Prabadevi, K Dev, S Trelova Frontiers in Public Health 9, 788074, 2022 | 41 | 2022 |
| Decision-making tool for crop selection for agriculture development N Deepa, K Ganesan Neural Computing and Applications 31, 1215-1225, 2019 | 41 | 2019 |
| Multi-class classification using hybrid soft decision model for agriculture crop selection N Deepa, K Ganesan Neural Computing and Applications 30, 1025-1038, 2018 | 41 | 2018 |
| Realizing sustainable development via modified integrated weighting MCDM model for ranking agrarian dataset N Deepa, K Ganesan, K Srinivasan, CY Chang Sustainability 11 (21), 6060, 2019 | 38 | 2019 |
| An ensemble model for intrusion detection in the internet of softwarized things G Srivastava, N Deepa, B Prabadevi, PK Reddy M Adjunct proceedings of the 2021 international conference on distributed …, 2021 | 31 | 2021 |
| Quality assessment of tire shearography images via ensemble hybrid faster region-based ConvNets CY Chang, K Srinivasan, WC Wang, GP Ganapathy, DR Vincent, ... Electronics 9 (1), 45, 2019 | 27 | 2019 |
| Deep learning for intelligent demand response and smart grids: A comprehensive survey QV Pham, M Liyanage, N Deepa, M VVSS, S Reddy, PKR Maddikunta, ... arXiv preprint arXiv:2101.08013, 2021 | 25 | 2021 |
| Hybrid rough fuzzy soft classifier based multi-class classification model for agriculture crop selection N Deepa, K Ganesan Soft computing 23, 10793-10809, 2019 | 24 | 2019 |
| Predictive mathematical model for solving multi-criteria decision-making problems N Deepa, K Ganesan, B Sethuramasamyraja Neural Computing and Applications 31, 6733-6746, 2019 | 23 | 2019 |
| Analysis of machine learning algorithms on cancer dataset B Prabadevi, N Deepa, LB Krithika, V Vinod 2020 international conference on emerging trends in information technology …, 2020 | 20 | 2020 |
| An efficient ensemble vtopes multi-criteria decision-making model for sustainable sugarcane farms N Deepa, SK N, K Srinivasan, CY Chang, AK Bashir Sustainability 11 (16), 4288, 2019 | 18 | 2019 |
