| On positive Harris recurrence of multiclass queueing networks: a unified approach via fluid limit models JG Dai The Annals of Applied Probability 5 (1), 49-77, 1995 | 1136 | 1995 |
| The throughput of data switches with and without speedup JG Dai, B Prabhakar Proceedings IEEE INFOCOM 2000. Conference on Computer Communications …, 2000 | 550 | 2000 |
| Stability and convergence of moments for multiclass queueing networks via fluid limit models JG Dai, SP Meyn IEEE Transactions on Automatic Control 40 (11), 1889-1904, 2002 | 368 | 2002 |
| Empty-car routing in ridesharing systems A Braverman, JG Dai, X Liu, L Ying Operations Research 67 (5), 1437-1452, 2019 | 342 | 2019 |
| Stability and instability of fluid models for reentrant lines JG Dai, G Weiss Mathematics of Operations Research 21 (1), 115-134, 1996 | 312 | 1996 |
| Models and insights for hospital inpatient operations: Time-dependent ED boarding time P Shi, MC Chou, JG Dai, D Ding, J Sim Management Science 62 (1), 1-28, 2016 | 268* | 2016 |
| Maximum pressure policies in stochastic processing networks JG Dai, W Lin Operations Research 53 (2), 197-218, 2005 | 265 | 2005 |
| Reflected Brownian motion in an orthant: numerical methods for steady-state analysis JG Dai, JM Harrison The Annals of Applied Probability 2 (1), 65-86, 1992 | 171 | 1992 |
| A fluid limit model criterion for instability of multiclass queueing networks JG Dai The Annals of Applied Probability 6 (3), 751-757, 1996 | 153 | 1996 |
| Stability of fluid and stochastic processing networks JGJ Dai University of Aarhus. Centre for Mathematical Physics and Stochastics …, 1998 | 139 | 1998 |
| Dynamic Control of N-Systems with Many Servers: Asymptotic Optimality of a Static Priority Policy in Heavy Traffic T Tezcan, JG Dai Operations Research 58 (1), 94-110, 2010 | 135 | 2010 |
| On measuring supplier performance under vendor-managed-inventory programs in capacitated supply chains KS Choi, JG Dai, JS Song Manufacturing & Service Operations Management 6 (1), 53-72, 2004 | 134 | 2004 |
| Inpatient overflow: An approximate dynamic programming approach JG Dai, P Shi Manufacturing & Service Operations Management 21 (4), 894-911, 2019 | 130 | 2019 |
| Berth allocation planning optimization in container terminals J Dai, W Lin, R Moorthy, CP Teo Supply chain analysis: a handbook on the interaction of information, system …, 2008 | 128 | 2008 |
| Asymptotic optimality of maximum pressure policies in stochastic processing networks JG Dai, W Lin | 127 | 2008 |
| Stein’s method for steady-state diffusion approximations of systems A Braverman, JG Dai The Annals of Applied Probability 27 (1), 550-581, 2017 | 118* | 2017 |
| Queueing network controls via deep reinforcement learning JG Dai, M Gluzman Stochastic Systems 12 (1), 30-67, 2022 | 116 | 2022 |
| On the inapproximability of M/G/K: why two moments of job size distribution are not enough V Gupta, M Harchol-Balter, JG Dai, B Zwart Queueing Systems 64 (1), 5-48, 2010 | 116 | 2010 |
| Stein’s method for steady-state diffusion approximations: an introduction through the Erlang-A and Erlang-C models A Braverman, JG Dai, J Feng Stochastic Systems 6 (2), 301-366, 2017 | 108 | 2017 |
| Many-server diffusion limits for G/Ph/n+GI queues JG Dai, S He, T Tezcan | 106 | 2010 |
Anton BravermanKellogg School of Management at Northwestern UniversityVerified email at kellogg.northwestern.edu
