Tzu-Hsien Yang

669 total citations
32 papers, 445 citations indexed

About

Tzu-Hsien Yang is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Cancer Research. According to data from OpenAlex, Tzu-Hsien Yang has authored 32 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 4 papers in Electrical and Electronic Engineering and 4 papers in Cancer Research. Recurrent topics in Tzu-Hsien Yang's work include RNA and protein synthesis mechanisms (9 papers), Genomics and Chromatin Dynamics (8 papers) and Bioinformatics and Genomic Networks (7 papers). Tzu-Hsien Yang is often cited by papers focused on RNA and protein synthesis mechanisms (9 papers), Genomics and Chromatin Dynamics (8 papers) and Bioinformatics and Genomic Networks (7 papers). Tzu-Hsien Yang collaborates with scholars based in Taiwan, United States and India. Tzu-Hsien Yang's co-authors include Charles DeLisi, Jui‐Hung Hung, Z. Hu, Zhiping Weng, Wei Wu, Wei-Sheng Wu, Chung‐Yu Wang, Yu‐Chao Wang, Wei Wu and Yan Yuan Tseng and has published in prestigious journals such as PLoS ONE, ACS Applied Materials & Interfaces and Electrochimica Acta.

In The Last Decade

Tzu-Hsien Yang

27 papers receiving 442 citations

Peers

Tzu-Hsien Yang
Tzu-Hsien Yang
Citations per year, relative to Tzu-Hsien Yang Tzu-Hsien Yang (= 1×) peers Paolo Maietta

Countries citing papers authored by Tzu-Hsien Yang

Since Specialization
Citations

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

Fields of papers citing papers by Tzu-Hsien Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tzu-Hsien 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 Tzu-Hsien Yang. The network helps show where Tzu-Hsien Yang may publish in the future.

Co-authorship network of co-authors of Tzu-Hsien Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Tzu-Hsien Yang. A scholar is included among the top collaborators of Tzu-Hsien Yang 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 Tzu-Hsien Yang. Tzu-Hsien Yang 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
1.
Yang, Tzu-Hsien, Ying‐Hsien Huang, Kuang‐Den Chen, et al.. (2025). Identifying the risk of Kawasaki disease based solely on routine blood test features through novel construction of machine learning models. Computational and Structural Biotechnology Journal. 27. 2832–2842.
4.
Yang, Tzu-Hsien. (2024). DEBFold: Computational Identification of RNA Secondary Structures for Sequences across Structural Families Using Deep Learning. Journal of Chemical Information and Modeling. 64(9). 3756–3766.
5.
Yang, Tzu-Hsien, et al.. (2024). Redox-active cerium-based metal–organic layers coordinated on carbon nanotubes as materials for supercapacitors. APL Materials. 12(3). 2 indexed citations
7.
Yang, Tzu-Hsien, et al.. (2023). Identifying Human miRNA Target Sites via Learning the Interaction Patterns between miRNA and mRNA Segments. Journal of Chemical Information and Modeling. 64(7). 2445–2453. 4 indexed citations
9.
Yang, Tzu-Hsien, Chia‐Wei Hsu, Yanxiang Wang, et al.. (2022). YMLA: A comparative platform to carry out functional enrichment analysis for multiple gene lists in yeast. Computers in Biology and Medicine. 151(Pt B). 106314–106314.
10.
Yang, Tzu-Hsien, et al.. (2022). CFA: An explainable deep learning model for annotating the transcriptional roles of cis-regulatory modules based on epigenetic codes. Computers in Biology and Medicine. 152. 106375–106375. 7 indexed citations
11.
Yang, Tzu-Hsien, et al.. (2022). YTLR: Extracting yeast transcription factor-gene associations from the literature using automated literature readers. Computational and Structural Biotechnology Journal. 20. 4636–4644. 4 indexed citations
12.
Yang, Tzu-Hsien, et al.. (2022). SSRTool: A web tool for evaluating RNA secondary structure predictions based on species-specific functional interpretability. Computational and Structural Biotechnology Journal. 20. 2473–2483. 6 indexed citations
13.
Wu, Wei-Sheng, Tzu-Hsien Yang, Kuang‐Den Chen, et al.. (2022). KDmarkers: A biomarker database for investigating epigenetic methylation and gene expression levels in Kawasaki disease. Computational and Structural Biotechnology Journal. 20. 1295–1305. 4 indexed citations
14.
Yang, Tzu-Hsien, et al.. (2021). Human IRES Atlas: an integrative platform for studying IRES-driven translational regulation in humans. Database. 2021. 33 indexed citations
15.
Yang, Tzu-Hsien. (2021). An Aggregation Method to Identify the RNA Meta-Stable Secondary Structure and its Functionally Interpretable Structure Ensemble. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(1). 75–86. 10 indexed citations
16.
Yang, Tzu-Hsien, et al.. (2021). regCNN: identifying Drosophila genome-wide cis-regulatory modules via integrating the local patterns in epigenetic marks and transcription factor binding motifs. Computational and Structural Biotechnology Journal. 20. 296–308. 12 indexed citations
17.
Yang, Tzu-Hsien, et al.. (2021). Cancer DEIso: An integrative analysis platform for investigating differentially expressed gene-level and isoform-level human cancer markers. Computational and Structural Biotechnology Journal. 19. 5149–5159. 5 indexed citations
18.
Yang, Tzu-Hsien, et al.. (2014). YTRP: a repository for yeast transcriptional regulatory pathways. Database. 2014(0). bau014–bau014. 18 indexed citations
19.
Yang, Tzu-Hsien, et al.. (2013). Identifying Functional Transcription Factor Binding Sites in Yeast by Considering Their Positional Preference in the Promoters. PLoS ONE. 8(12). e83791–e83791. 2 indexed citations
20.
Hung, Jui‐Hung, Tzu-Hsien Yang, Z. Hu, Zhiping Weng, & Charles DeLisi. (2011). Gene set enrichment analysis: performance evaluation and usage guidelines. Briefings in Bioinformatics. 13(3). 281–291. 182 indexed citations

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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