Dye-Jyun Ma

24 total papers · 567 total citations
17 papers, 424 citations indexed

About

Dye-Jyun Ma is a scholar working on Management Information Systems, Management Science and Operations Research and Electrical and Electronic Engineering. According to data from OpenAlex, Dye-Jyun Ma has authored 17 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Management Information Systems, 6 papers in Management Science and Operations Research and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Dye-Jyun Ma's work include Advanced Queuing Theory Analysis (11 papers), Probability and Risk Models (4 papers) and Healthcare Operations and Scheduling Optimization (3 papers). Dye-Jyun Ma is often cited by papers focused on Advanced Queuing Theory Analysis (11 papers), Probability and Risk Models (4 papers) and Healthcare Operations and Scheduling Optimization (3 papers). Dye-Jyun Ma collaborates with scholars based in United States, Taiwan and Germany. Dye-Jyun Ma's co-authors include Shyh-Chyi Wong, Armand M. Makowski, John S. Baras, Adam Shwartz and Xi‐Ren Cao and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Electron Device Letters and Systems & Control Letters.

In The Last Decade

Dye-Jyun Ma

16 papers receiving 386 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Dye-Jyun Ma	299	118	108	60	45	17	424
Kristen Gardner	105 0.4×	291 2.5×	167 1.5×	37 0.6×	6 0.1×	27	403
Kangsun Lee	61 0.2×	61 0.5×	16 0.1×	26 0.4×	171 3.8×	28	369
Sebastian Werner	280 0.9×	92 0.8×	14 0.1×	29 0.5×	27 0.6×	28	380
Peerapol Tinnakornsrisuphap	235 0.8×	341 2.9×	62 0.6×	23 0.4×	16 0.4×	24	405
Davidson	103 0.3×	166 1.4×	14 0.1×	260 4.3×	6 0.1×	13	458
Björn Landfeldt	108 0.4×	372 3.2×	22 0.2×	88 1.5×	7 0.2×	35	397
Giuseppe Papuzzo	45 0.2×	240 2.0×	11 0.1×	41 0.7×	27 0.6×	26	375
Mike Kishinevsky	159 0.5×	139 1.2×	30 0.3×	285 4.8×	4 0.1×	23	368
W. R. Crowther	94 0.3×	395 3.3×	30 0.3×	244 4.1×	4 0.1×	11	495
Ieee Standards Board	190 0.6×	197 1.7×	5 0.0×	98 1.6×	13 0.3×	24	374

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

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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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