J. G. Dai
- Management Information Systems top 0.1%
- Advanced Queuing Theory Analysis 72
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- Network Traffic and Congestion Control 21
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- Probability and Risk Models 16
- Emergency Medical Services top 0.5%
- Healthcare Operations and Scheduling Optimization 10
- Statistics and Probability top 1%
- Random Matrices and Applications 13
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- Advanced Wireless Network Optimization 19
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- Stochastic processes and financial applications 16
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- Scheduling and Optimization Algorithms 11
J. G. Dai
94 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Management Information Systems 2.2k
- Computer Networks and Communications 1.4k
- Management Science and Operations Research 741
- Emergency Medical Services 345
- Statistics and Probability 366
Countries citing papers authored by J. G. Dai
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
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
The 25 scholars most cited alongside J. G. Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2021 | 0 | |
| 4 | 2020 | 16 | |
| 5 | 2019 | 14 | |
| 6 | 2014 | 1 | |
| 7 | 2013 | 3 | |
| 8 | 2011 | 13 | |
| 9 | 2010 | 42 | |
| 10 | 2007 | 5 | |
| 11 | 2007 | 13 | |
| 12 | 2006 | 2 | |
| 13 | 2004 | 26 | |
| 14 | 2003 | 11 | |
| 15 | 2002 | 27 | |
| 16 | Electronics Manufacturing Service Industry | 2000 | 1 |
| 17 | 1999 | 41 | |
| 18 | 1995 | 23 | |
| 19 | 1994 | 24 | |
| 20 | 1992 | 81 |
About J. G. Dai
J. G. Dai is a scholar working on Management Information Systems, Management Science and Operations Research and Statistics and Probability, having authored 99 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (72 papers), Network Traffic and Congestion Control (21 papers), Advanced Wireless Network Optimization (19 papers), Probability and Risk Models (16 papers), Stochastic processes and financial applications (16 papers), Random Matrices and Applications (13 papers), Scheduling and Optimization Algorithms (11 papers) and Healthcare Operations and Scheduling Optimization (10 papers). The work is most often cited by research in Management Information Systems (2.2k citations), Computer Networks and Communications (1.4k citations) and Management Science and Operations Research (741 citations). J. G. Dai has collaborated with scholars based in United States, China and Hong Kong. Frequent 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. Their work appears in journals such as Stochastic Systems, Queueing Systems, Operations Research, The Annals of Applied Probability and Mathematics of Operations Research.
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.