| A survey on industrial Internet of Things: A cyber-physical systems perspective H Xu, W Yu, D Griffith, N Golmie Ieee access 6, 78238-78259, 2018 | 650 | 2018 |
| Modeling smart grid applications with co-simulation T Godfrey, S Mullen, DW Griffith, N Golmie, RC Dugan, C Rodine 2010 first IEEE International conference on smart grid communications, 291-296, 2010 | 228 | 2010 |
| Toward integrating distributed energy resources and storage devices in smart grid G Xu, W Yu, D Griffith, N Golmie, P Moulema IEEE internet of things journal 4 (1), 192-204, 2016 | 200 | 2016 |
| Toward edge-based deep learning in industrial Internet of Things F Liang, W Yu, X Liu, D Griffith, N Golmie IEEE Internet of Things Journal 7 (5), 4329-4341, 2020 | 184 | 2020 |
| Ultra-dense networks: Survey of state of the art and future directions W Yu, H Xu, H Zhang, D Griffith, N Golmie 2016 25th international conference on computer communication and networks …, 2016 | 122 | 2016 |
| An integrated detection system against false data injection attacks in the smart grid W Yu, D Griffith, L Ge, S Bhattarai, N Golmie Security and Communication Networks 8 (2), 91-109, 2015 | 101 | 2015 |
| Partially decoupled Volterra filters: formulation and LMS adaptation DW Griffith, GR Arce IEEE transactions on signal processing 45 (6), 1485-1494, 1997 | 93 | 1997 |
| A 1+ 1 protection architecture for optical burst switched networks D Griffith, SK Lee IEEE Journal on Selected Areas in Communications 21 (9), 1384-1398, 2003 | 83 | 2003 |
| Reinforcement learning-based control and networking co-design for industrial internet of things H Xu, X Liu, W Yu, D Griffith, N Golmie IEEE Journal on Selected Areas in Communications 38 (5), 885-898, 2020 | 70 | 2020 |
| A methodology to evaluate wireless technologies for the smart grid M Souryal, C Gentile, D Griffith, D Cypher, N Golmie 2010 first IEEE international conference on smart grid communications, 356-361, 2010 | 59 | 2010 |
| Toward deep transfer learning in industrial internet of things X Liu, W Yu, F Liang, D Griffith, N Golmie IEEE Internet of things journal 8 (15), 12163-12175, 2021 | 57 | 2021 |
| Towards statistical modeling and machine learning based energy usage forecasting in smart grid W Yu, D An, D Griffith, Q Yang, G Xu ACM SIGAPP Applied Computing Review 15 (1), 6-16, 2015 | 54 | 2015 |
| A new call admission control scheme for heterogeneous wireless networks DK Kim, D Griffith, N Golmie IEEE Transactions on Wireless Communications 9 (10), 3000-3005, 2010 | 54 | 2010 |
| A probabilistic call admission control algorithm for WLAN in heterogeneous wireless environment SK Lee, K Kim, K Hong, D Griffith, YH Kim, N Golmie IEEE Transactions on Wireless Communications 8 (4), 1672-1676, 2009 | 53 | 2009 |
| Survey of graph neural networks and applications F Liang, C Qian, W Yu, D Griffith, N Golmie Wireless Communications and Mobile Computing 2022 (1), 9261537, 2022 | 48 | 2022 |
| Performance metrics for IEEE 802.21 media independent handover (MIH) signaling D Griffith, R Rouil, N Golmie Wireless Personal Communications 52, 537-567, 2010 | 45 | 2010 |
| Zero-order statistics: a signal processing framework for very impulsive processes JG Gonzalez, DW Griffith, GR Arce Proceedings of the IEEE Signal Processing Workshop on Higher-Order …, 1997 | 41 | 1997 |
| Centralized cooperative directional spectrum sensing for cognitive radio networks W Na, J Yoon, S Cho, D Griffith, N Golmie IEEE Transactions on Mobile Computing 17 (6), 1260-1274, 2017 | 39 | 2017 |
| Matched myriad filtering for robust communications JG Gonzalez, DW Griffith, GR Arce Proc. of the 1996 CISS, 1996 | 37 | 1996 |
| Towards energy efficiency in ultra dense networks W Yu, H Xu, A Hematian, D Griffith, N Golmie 2016 IEEE 35th International Performance Computing and Communications …, 2016 | 35 | 2016 |
