Ming‐Yang Kao

3.5k citations
92 papers · 1.6k indexed · h-index 23

Ming‐Yang Kao

87 papers receiving 1.5k citations

Peers

Ming‐Yang Kao
Comparison fields: 5 of 101
  • Computer Networks and Communications 774
  • Computational Theory and Mathematics 418
  • Signal Processing 258
  • Computer Graphics and Computer-Aided Design 70
  • Artificial Intelligence 502
Replace Daniel S. Hirschberg with:
Daniel S. Hirschberg United States
Daniel P. Miranker United States
David W. Matula United States
Patric R. J. Östergård Finland
D. S. Hirschberg United States
Andrzej Proskurowski United States
Yehoshua Perl United States
M. Vento Italy
J. R. Ullmann United Kingdom
Yossi Shiloach Israel
Ming‐Yang Kao relative to Daniel S. Hirschberg United States Daniel S. Hirschberg's profile →
Citations per field
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Daniel S. Hirschberg · 1×
Citations per year

Countries citing papers authored by Ming‐Yang Kao

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Yang Kao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Yang Kao. 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 Ming‐Yang Kao. The network helps show where Ming‐Yang Kao may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ming‐Yang Kao, 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 Ming‐Yang Kao Line = papers co-authored together Ming‐Yang Kao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20154
2 20131
3 20096
4 20092
5 200521
6 200515
7 200566
8 200423
9
Fast Algorithms for Finding Maximum-Density Segments of a Sequence with Applications to Bioinformatics
20020
10 200235
11 20011
12 20011
13 200010
14 20004
15
Nonplanar topological inference and political-map graphs
19996
16
Recovering evolutionary trees through harmonic greedy triplets
199911
17 19985
18
Online Perfect Matching and Mobile Computing
19951
19 199411
20 199340

About Ming‐Yang Kao

Ming‐Yang Kao is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Computer Graphics and Computer-Aided Design, Artificial Intelligence and Management Science and Operations Research, having authored 92 papers that have together received 1.6k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (25 papers), Algorithms and Data Compression (25 papers), Advanced Graph Theory Research (19 papers), Optimization and Search Problems (17 papers), DNA and Biological Computing (9 papers), Auction Theory and Applications (8 papers), Genomics and Phylogenetic Studies (7 papers) and Interconnection Networks and Systems (6 papers). The work is most often cited by research in Computer Networks and Communications (774 citations), Computational Theory and Mathematics (418 citations), Signal Processing (258 citations), Computer Graphics and Computer-Aided Design (70 citations) and Artificial Intelligence (502 citations). Ming‐Yang Kao has collaborated with scholars based in United States, Taiwan and Hong Kong. Frequent co-authors include Stephen R. Tate, Robert Schweller, A. John Rush, Chen Yan, Ting Chen, George M. Church, Zhichun Li, John H. Reif, Hsueh-I Lu and Ching‐Tien Ho. Their work appears in journals such as SIAM Journal on Computing, SIAM Journal on Discrete Mathematics, Journal of Computational Biology, Journal of Computer and System Sciences and Journal of Combinatorial Optimization.

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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