J. G. Dai

6.0k total citations · 1 hit paper
99 papers, 3.4k citations indexed

About

J. G. Dai is a scholar working on Management Information Systems, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, J. G. Dai has authored 99 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Management Information Systems, 32 papers in Computer Networks and Communications and 25 papers in Management Science and Operations Research. Recurrent topics in J. G. Dai's work include Advanced Queuing Theory Analysis (72 papers), Network Traffic and Congestion Control (21 papers) and Advanced Wireless Network Optimization (19 papers). J. G. Dai is often cited by papers focused on Advanced Queuing Theory Analysis (72 papers), Network Traffic and Congestion Control (21 papers) and Advanced Wireless Network Optimization (19 papers). J. G. Dai collaborates with scholars based in United States, China and Hong Kong. J. G. Dai's co-authors include Balaji Prabhakar, Sean Meyn, Pengyi Shi, Tolga Tezcan, Gideon Weiss, Anton Braverman, J. Michael Harrison, Wuqin Lin, Shuangchi He and John H. Vande Vate and has published in prestigious journals such as IEEE Transactions on Automatic Control, Management Science and Operations Research.

In The Last Decade

J. G. Dai

94 papers receiving 3.2k citations

Hit Papers

On Positive Harris Recurrence of Multiclass Queueing Netw... 1995 2026 2005 2015 1995 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. On Positive Harris Recurrence of Multiclass Queueing Networks: A Unified Approach Via Fluid Limit Models
    1995 587 citations J. G. Dai The Annals of Applied Probability profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. G. Dai United States 30 2.2k 1.4k 1.1k 741 366 99 3.4k
Martin I. Reiman United States 32 2.9k 1.3× 1.3k 0.9× 892 0.8× 1.2k 1.6× 520 1.4× 87 3.9k
Uri Yechiali Israel 27 2.5k 1.1× 1.0k 0.7× 829 0.8× 908 1.2× 222 0.6× 145 3.5k
Onno Boxma Netherlands 34 2.8k 1.3× 1.7k 1.2× 1.0k 1.0× 1.5k 2.0× 457 1.2× 305 4.0k
Ger Koole Netherlands 34 2.9k 1.3× 1.9k 1.4× 1.3k 1.2× 933 1.3× 136 0.4× 171 5.2k
Avishai Mandelbaum Israel 31 3.8k 1.8× 1.3k 1.0× 1.3k 1.2× 1.2k 1.7× 309 0.8× 68 5.2k
Shaler Stidham United States 31 2.6k 1.2× 839 0.6× 612 0.6× 884 1.2× 146 0.4× 71 3.3k
Ronald W. Wolff United States 20 2.0k 0.9× 1.2k 0.9× 857 0.8× 898 1.2× 283 0.8× 67 3.0k
Henk Tijms Netherlands 25 1.7k 0.8× 789 0.6× 570 0.5× 834 1.1× 328 0.9× 104 3.1k
V. Ramaswami United States 29 2.7k 1.2× 1.2k 0.8× 712 0.7× 1.3k 1.7× 807 2.2× 64 3.8k
Daniel P. Heyman United States 28 2.1k 1.0× 1.8k 1.3× 970 0.9× 767 1.0× 379 1.0× 85 3.9k

Countries citing papers authored by J. G. Dai

Since Specialization
Citations

This map shows the geographic impact of J. G. Dai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J. G. Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. G. Dai more than expected).

Fields of papers citing papers by J. G. Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. G. Dai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J. G. Dai. The network helps show where J. G. Dai may publish in the future.

Co-authorship network of co-authors of J. G. Dai

This figure shows the co-authorship network connecting the top 25 collaborators of J. G. Dai. A scholar is included among the top collaborators of J. G. Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. G. Dai. J. G. Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jin, Guang, et al.. (2025). Steady-State Convergence of the Continuous-Time Routing System with General Distributions in Heavy Traffic. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 9(1). 1–29.
2.
Jin, Guang, et al.. (2025). Uniform Moment Bounds for Generalized Jackson Networks in Multiscale Heavy Traffic. Mathematics of Operations Research. 51(1). 668–685. 1 indexed citations
3.
4.
Dai, J. G. & J. Michael Harrison. (2020). Processing Networks. Cambridge University Press eBooks. 16 indexed citations
5.
Dai, J. G. & Pengyi Shi. (2019). Recent Modeling and Analytical Advances in Hospital Inpatient Flow Management. Production and Operations Management. 30(6). 1838–1862. 14 indexed citations
6.
Dai, J. G., et al.. (2014). Decomposable stationary distribution of a multidimensional SRBM. Stochastic Processes and their Applications. 125(5). 1799–1820. 1 indexed citations
7.
Dai, J. G. & Shuangchi He. (2013). Many-server queues with customer abandonment: Numerical analysis of their diffusion model. Stochastic Systems. 3(1). 96–146. 3 indexed citations
8.
Dai, J. G., et al.. (2011). Reflecting Brownian motion in two dimensions: Exact asymptotics for the stationary distribution. Stochastic Systems. 1(1). 146–208. 13 indexed citations
9.
Dai, J. G., Shuangchi He, & Tolga Tezcan. (2010). Many-server diffusion limits for G/Ph/n+GI queues. The Annals of Applied Probability. 20(5). 42 indexed citations
10.
Gupta, Varun, J. G. Dai, Mor Harchol‐Balter, & Bert Zwart. (2007). The effect of higher moments of job size distribution on the performance of an M/G/s queueing system. ACM SIGMETRICS Performance Evaluation Review. 35(2). 12–14. 5 indexed citations
11.
Dai, J. G., John J. Hasenbein, & Bara Kim. (2007). Stability of join-the-shortest-queue networks. Queueing Systems. 57(4). 129–145. 13 indexed citations
12.
Li, Shu, et al.. (2006). Cavitation resonance: The phenomenon and unknown. Journal of Hydrodynamics. 18(3). 356–362. 2 indexed citations
13.
Dai, J. G., John J. Hasenbein, & John H. Vande Vate. (2004). Stability and instability of a two-station queueing network. The Annals of Applied Probability. 14(1). 26 indexed citations
14.
Dai, J. G., et al.. (2003). Stabilizing Batch-Processing Networks. Operations Research. 51(1). 123–136. 11 indexed citations
15.
16.
Barnes, Earl, J. G. Dai, Shijie Deng, et al.. (2000). Electronics Manufacturing Service Industry. 1 indexed citations
17.
Dai, J. G., et al.. (1999). A heavy traffic limit theorem for a class of open queueing networks with finite buffers. Queueing Systems. 32(1-3). 5–40. 41 indexed citations
18.
Dai, J. G. & Thomas G. Kurtz. (1995). A multiclass Station with Markovian Feedback in Heavy Traffic. Mathematics of Operations Research. 20(3). 721–742. 23 indexed citations
19.
Dai, J. G., Viên Nguyen, & Martin I. Reiman. (1994). Sequential Bottleneck Decomposition: An Approximation Method for Generalized Jackson Networks. Operations Research. 42(1). 119–136. 24 indexed citations
20.
Dai, J. G. & J. Michael Harrison. (1992). Reflected Brownian Motion in an Orthant: Numerical Methods for Steady-State Analysis. The Annals of Applied Probability. 2(1). 81 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Martin I. Reiman Breakdown of academic impact, for papers by Uri Yechiali Breakdown of academic impact, for papers by Onno Boxma Breakdown of academic impact, for papers by Ger Koole Breakdown of academic impact, for papers by Avishai Mandelbaum Breakdown of academic impact, for papers by Shaler Stidham Breakdown of academic impact, for papers by Ronald W. Wolff Breakdown of academic impact, for papers by Henk Tijms Breakdown of academic impact, for papers by V. Ramaswami Breakdown of academic impact, for papers by Daniel P. Heyman
Rankless by CCL
2026