Cheng‐Hong Yang
Impact in
- Artificial Intelligence top 1%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Molecular Biology top 5%
- Gene expression and cancer classification
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
Papers in
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- Gene expression and cancer classification 44
- RNA and protein synthesis mechanisms 28
- Machine Learning in Bioinformatics 21
- Bioinformatics and Genomic Networks 19
- Genomics and Phylogenetic Studies 17
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- Evolutionary Algorithms and Applications 22
- Metaheuristic Optimization Algorithms Research 20
- Co-authors
- Li‐Yeh Chuang (185 shared papers)Hsueh‐Wei Chang (73 shared papers)Yu‐Da Lin (53 shared papers)Yu‐Huei Cheng (38 shared papers)Sheng-Wei Tsai (6 shared papers)Cheng‐San Yang (21 shared papers)Cheng‐Huei Yang (19 shared papers)Jyh‐Ferng Yang (6 shared papers)
In The Last Decade
Cheng‐Hong Yang
240 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 185
- Artificial Intelligence 1.3k
- Molecular Biology 1.4k
- Biochemistry 116
- Computer Vision and Pattern Recognition 389
- Computational Theory and Mathematics 281
Countries citing papers authored by Cheng‐Hong Yang
This map shows the geographic impact of Cheng‐Hong Yang'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‐Hong Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng‐Hong Yang more than expected).
Fields of papers citing papers by Cheng‐Hong Yang
This network shows the impact of papers produced by Cheng‐Hong Yang. 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‐Hong Yang. The network helps show where Cheng‐Hong Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheng‐Hong Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 246 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 433 | |
| 2 | 2009 | 184 | |
| 3 | 2011 | 183 | |
| 4 | 2016 | 177 | |
| 5 | 2011 | 116 | |
| 6 | 2012 | 113 | |
| 7 | 2007 | 113 | |
| 8 | 2015 | 89 | |
| 9 | 2022 | 87 | |
| 10 | IG-GA: A Hybrid Filter/Wrapper Method for Feature Selection of Microarray Data | 2010 | 78 |
| 11 | 2011 | 77 | |
| 12 | 2010 | 67 | |
| 13 | 2009 | 65 | |
| 14 | 2011 | 64 | |
| 15 | 2013 | 58 | |
| 16 | 2011 | 52 | |
| 17 | 2020 | 45 | |
| 18 | 2013 | 45 | |
| 19 | 2012 | 44 | |
| 20 | 2006 | 41 |
About Cheng‐Hong Yang
Cheng‐Hong Yang is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Human-Computer Interaction and Biomedical Engineering, having authored 246 papers that have together received 4.5k indexed citations. Recurring topics across this work include Gene expression and cancer classification (44 papers), RNA and protein synthesis mechanisms (28 papers), Genetic Associations and Epidemiology (25 papers), Evolutionary Algorithms and Applications (22 papers), Machine Learning in Bioinformatics (21 papers), Metaheuristic Optimization Algorithms Research (20 papers), Bioinformatics and Genomic Networks (19 papers) and Genomics and Phylogenetic Studies (17 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Molecular Biology (1.4k citations), Biochemistry (116 citations), Computer Vision and Pattern Recognition (389 citations) and Computational Theory and Mathematics (281 citations). Cheng‐Hong Yang has collaborated with scholars based in Taiwan, Yemen and China. Frequent co-authors include Li‐Yeh Chuang, Hsueh‐Wei Chang, Yu‐Da Lin, Yu‐Huei Cheng, Sheng-Wei Tsai, Cheng‐San Yang, Cheng‐Huei Yang, Jyh‐Ferng Yang, Kuo‐Chuan Wu and Chih-Hsien Wu. Their work appears in journals such as IEEE Access, PLoS ONE, BioMed Research International, OMICS A Journal of Integrative Biology and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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.