Cheng-Yan Kao

511 total citations
14 papers, 382 citations indexed

About

Cheng-Yan Kao is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Cheng-Yan Kao has authored 14 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 2 papers in Artificial Intelligence. Recurrent topics in Cheng-Yan Kao's work include Bioinformatics and Genomic Networks (7 papers), Computational Drug Discovery Methods (3 papers) and Metaheuristic Optimization Algorithms Research (2 papers). Cheng-Yan Kao is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Computational Drug Discovery Methods (3 papers) and Metaheuristic Optimization Algorithms Research (2 papers). Cheng-Yan Kao collaborates with scholars based in Taiwan, United States and Vietnam. Cheng-Yan Kao's co-authors include Chi‐Ying F. Huang, Jinn‐Moon Yang, Jin-Mei Lai, Sheng‐An Lee, Feng‐Sheng Wang, Tzu-Chi Chen, Peter Mu‐Hsin Chang, Chia-Hung Liu, Chun-Nan Hsu and Kuan‐Ting Lin and has published in prestigious journals such as PLoS ONE, Journal of Computational Chemistry and BMC Bioinformatics.

In The Last Decade

Cheng-Yan Kao

14 papers receiving 379 citations

Peers

Cheng-Yan Kao
Comparison fields: 5 of 98
  • Molecular Biology 254
  • Computational Theory and Mathematics 76
  • Cell Biology 41
  • Artificial Intelligence 29
  • Oncology 28
Replace Yufei Xiao with:
Yufei Xiao China
Christina Laufer Germany
Paul McDonagh United States
Saad Haider United States
Antonio Turi Italy
Dieter Galea United Kingdom
Pemra Özbek Türkiye
María Elena Ochagavia Cuba
B.C. ORCUTT United States
Daniela Wieser United Kingdom
Yufei Xiao China View profile →
Citations per field, relative to Cheng-Yan Kao
Cheng-Yan Kao · 1×
Citations per year, relative to Cheng-Yan Kao
Cheng-Yan Kao · 1×

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

14 of 14 papers shown
# Work Indexed citations
1 21
2 20
3 1
4 18
5 27
6 61
7 22
8 39
9 10
10 85
11 17
12 4
13 28
14 29

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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