Dye-Jyun Ma

567 citations
17 papers · 425 indexed · h-index 7
Topics
Advanced Queuing Theory Analysis (11 papers)Probability and Risk Models (4 papers)Healthcare Operations and Scheduling Optimization (3 papers)

In The Last Decade

Dye-Jyun Ma

16 papers receiving 387 citations

Peers

Dye-Jyun Ma
Comparison fields: 5 of 39
  • Electrical and Electronic Engineering 300
  • Computer Networks and Communications 119
  • Management Information Systems 108
  • Hardware and Architecture 60
  • Biomedical Engineering 45
Replace R. Ramanarayanan with:
R. Ramanarayanan India
Tony T. Lee China
Olga Semenova Russia
J.L. van den Berg Netherlands
P.F. Chimento United States
B.D. McCredie United States
D. Everitt Australia
Peerapol Tinnakornsrisuphap United States
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Ramesh Nagarajan United States
Dye-Jyun Ma relative to R. Ramanarayanan India R. Ramanarayanan's profile →
Citations per field
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R. Ramanarayanan · 1×
Citations per year

Countries citing papers authored by Dye-Jyun Ma

Since Specialization
Citations

This map shows the geographic impact of Dye-Jyun Ma'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 Dye-Jyun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dye-Jyun Ma more than expected).

Fields of papers citing papers by Dye-Jyun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dye-Jyun Ma. 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 Dye-Jyun Ma. The network helps show where Dye-Jyun Ma may publish in the future.

Co-authorship network of co-authors of Dye-Jyun Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Dye-Jyun Ma. A scholar is included among the top collaborators of Dye-Jyun Ma 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 Dye-Jyun Ma. Dye-Jyun Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 3
3 1
4 191
5 38
6 1
7 15
8 2
9 2
10 19
11 2
12
A Simple Problem of Flow Control I: Optimality Results.
2
13
A Simple Problem of Flow Control II: Implementation of Threshold Policies via Stochastic Approximations.
3
14 1
15 6
16 45
17 93

About Dye-Jyun Ma

Dye-Jyun Ma is a scholar working on Management Information Systems, Management Science and Operations Research and Emergency Medical Services, having authored 17 papers that have together received 425 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (11 papers), Probability and Risk Models (4 papers) and Healthcare Operations and Scheduling Optimization (3 papers). The work is most often cited by research in Management Information Systems (108 citations), Hardware and Architecture (60 citations) and Computer Networks and Communications (119 citations). Dye-Jyun Ma has collaborated with scholars based in United States, Taiwan and Israel. Frequent co-authors include Shyh-Chyi Wong, Armand M. Makowski, John S. Baras, Adam Shwartz and Xi‐Ren Cao. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Electron Device Letters and Systems & Control Letters.

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.

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