D.D. Yao

35 papers receiving 630 citations

Peers

D.D. Yao
Comparison fields: 5 of 51
  • Management Information Systems 379
  • Industrial and Manufacturing Engineering 278
  • Computer Networks and Communications 254
  • Management Science and Operations Research 109
  • Computational Theory and Mathematics 122
Replace R. Suri with:
R. Suri United States
Michael A. Zazanis United States
Jacques Resing Netherlands
H. Groenevelt United States
Robert D. Foley United States
Boon Ping Gan Singapore
Toshiharu Hasegawa Japan
Paul J. Kuehn Germany
Hans Daduna Germany
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Citations per field
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Citations per year

Countries citing papers authored by D.D. Yao

Since Specialization
Citations

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

Fields of papers citing papers by D.D. Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.D. Yao. 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 D.D. Yao. The network helps show where D.D. Yao may publish in the future.

Co-authors

The 25 scholars most cited alongside D.D. Yao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D.D. Yao Line = papers co-authored together D.D. Yao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996123
2 200580
3 198671
4 199459
5 199053
6 198949
7 200336
8 200135
9 198926
10 198926
11 199718
12 199917
13 199013
14 199011
15 198710
16 199510
17 20018
18 19967
19 20035
20 19905

About D.D. Yao

D.D. Yao is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering, Computational Theory and Mathematics, Management Science and Operations Research and Computer Networks and Communications, having authored 38 papers that have together received 687 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (21 papers), Petri Nets in System Modeling (11 papers), Scheduling and Optimization Algorithms (10 papers), Simulation Techniques and Applications (6 papers), Probability and Risk Models (5 papers), Stability and Control of Uncertain Systems (4 papers), Manufacturing Process and Optimization (4 papers) and Supply Chain and Inventory Management (4 papers). The work is most often cited by research in Management Information Systems (379 citations), Industrial and Manufacturing Engineering (278 citations), Computer Networks and Communications (254 citations), Management Science and Operations Research (109 citations) and Computational Theory and Mathematics (122 citations). D.D. Yao has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include Daniel P. Connors, G. Feigin, Keith W. Ross, John A. Buzacott, J. George Shanthikumar, Mark S. Squillante, Rakesh Kumar, Torsten Suel, Dan Rubenstein and Micah Adler. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Semiconductor Manufacturing, Annals of Operations Research, IEEE Transactions on Robotics and Automation and Mathematical and Computer Modelling.

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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