Cheng‐Yan Kao

1.5k citations
66 papers · 954 indexed · h-index 17
Topics
Gene expression and cancer classification (13 papers)Bioinformatics and Genomic Networks (13 papers)Metaheuristic Optimization Algorithms Research (11 papers)

In The Last Decade

Cheng‐Yan Kao

62 papers receiving 882 citations

Peers

Cheng‐Yan Kao
Comparison fields: 5 of 119
  • Molecular Biology 426
  • Artificial Intelligence 211
  • Computational Theory and Mathematics 150
  • Industrial and Manufacturing Engineering 132
  • Computer Networks and Communications 125
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Paola Bertolazzi Italy
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Xuncai Zhang China
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Citations per field
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Citations per year

Countries citing papers authored by Cheng‐Yan Kao

Since Specialization
Citations

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

Fields of papers citing papers by Cheng‐Yan Kao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng‐Yan Kao

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 3
3 22
4 6
5 11
6
Modeling Taiwanese Southern-Min Tone Sandhi Using Rule-Based Methods
0
7 28
8 13
9
Discovering Statistically Significant Clusters by Using Iterative Genetic Algorithms in Gene Expression Data.
1
10 80
11
Ranking Genes for Discriminability on Microarray Data
6
12
Applying Genetic Algorithms To Finding The Optimal Gene Order In Displaying The Microarray Data
11
13 16
14 6
15
A genetic algorithm for traveling salesman problems
21
16
Solving fixed channel assignment problems by an evolutionary approach
2
17
Mining Putative Regulatory Elements in Gene Promoter Regions.
6
18
An evolutionary algorithm to training neural networks for a two-spiral problem
2
19 13
20 12

About Cheng‐Yan Kao

Cheng‐Yan Kao is a scholar working on Computational Theory and Mathematics, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 66 papers that have together received 954 indexed citations. Recurring topics across this work include Gene expression and cancer classification (13 papers), Bioinformatics and Genomic Networks (13 papers) and Metaheuristic Optimization Algorithms Research (11 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (132 citations), Computational Theory and Mathematics (150 citations) and Biological Psychiatry (18 citations). Cheng‐Yan Kao has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Feng‐Tse Lin, Ching‐Chi Hsu, Jinn‐Moon Yang, Jorng‐Tzong Horng, Huai‐Kuang Tsai, Chen‐hsiung Chan, Chi‐Hung Tsai, Han Lin, Chi‐Ying F. Huang and D. Frank Hsu. Their work appears in journals such as Bioinformatics, PLoS ONE and International Journal of Molecular Sciences.

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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