Chen‐Hsiang Yeang

1.2k total citations
37 papers, 762 citations indexed

About

Chen‐Hsiang Yeang is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Chen‐Hsiang Yeang has authored 37 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 6 papers in Artificial Intelligence and 5 papers in Genetics. Recurrent topics in Chen‐Hsiang Yeang's work include Bioinformatics and Genomic Networks (12 papers), Gene Regulatory Network Analysis (9 papers) and Genomics and Chromatin Dynamics (7 papers). Chen‐Hsiang Yeang is often cited by papers focused on Bioinformatics and Genomic Networks (12 papers), Gene Regulatory Network Analysis (9 papers) and Genomics and Chromatin Dynamics (7 papers). Chen‐Hsiang Yeang collaborates with scholars based in Taiwan, United States and Japan. Chen‐Hsiang Yeang's co-authors include Tommi Jaakkola, Trey Ideker, Pablo Tamayo, Eric S. Lander, Jill P. Mesirov, Sridhar Ramaswamy, Michael Reich, Sayan Mukherjee, Ryan Rifkin and Todd Golub and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Chen‐Hsiang Yeang

35 papers receiving 733 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chen‐Hsiang Yeang Taiwan 13 615 82 65 61 48 37 762
Jörg Ackermann Germany 15 588 1.0× 39 0.5× 55 0.8× 35 0.6× 29 0.6× 50 812
Ke Yuan China 13 254 0.4× 68 0.8× 94 1.4× 162 2.7× 87 1.8× 52 615
Maria Secrier United Kingdom 12 492 0.8× 47 0.6× 60 0.9× 98 1.6× 102 2.1× 27 842
Lorin Crawford United States 14 304 0.5× 175 2.1× 33 0.5× 58 1.0× 74 1.5× 39 599
Jesse Paquette United States 11 350 0.6× 36 0.4× 58 0.9× 147 2.4× 111 2.3× 13 719
Jianing Xi China 15 340 0.6× 77 0.9× 139 2.1× 141 2.3× 23 0.5× 31 538
Aleksandar Stojmirović United States 11 361 0.6× 140 1.7× 63 1.0× 50 0.8× 65 1.4× 25 675
Francis D. Gibbons United States 10 533 0.9× 40 0.5× 91 1.4× 18 0.3× 18 0.4× 19 685
Christina K. Yung United States 11 459 0.7× 107 1.3× 22 0.3× 239 3.9× 86 1.8× 15 682
Takeyuki Tamura Japan 16 510 0.8× 151 1.8× 50 0.8× 37 0.6× 71 1.5× 73 774

Countries citing papers authored by Chen‐Hsiang Yeang

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Hsiang Yeang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen‐Hsiang Yeang. 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 Chen‐Hsiang Yeang. The network helps show where Chen‐Hsiang Yeang may publish in the future.

Co-authorship network of co-authors of Chen‐Hsiang Yeang

This figure shows the co-authorship network connecting the top 25 collaborators of Chen‐Hsiang Yeang. A scholar is included among the top collaborators of Chen‐Hsiang Yeang 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 Chen‐Hsiang Yeang. Chen‐Hsiang Yeang 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.
McCoy, Matthew, Chen‐Hsiang Yeang, Stanley Tam, et al.. (2025). Generalized Evolutionary Classifier for Evolutionary Guided Precision Medicine. JCO Precision Oncology. 9(9). e2300714–e2300714. 1 indexed citations
2.
Yeh, Chi‐Wei, Shuting Lin, Wei-Chieh Huang, et al.. (2024). Altered assembly paths mitigate interference among paralogous complexes. Nature Communications. 15(1). 7169–7169. 1 indexed citations
3.
Yen, Hsueh-Chi S., et al.. (2022). Cooperative stability renders protein complex formation more robust and controllable. Scientific Reports. 12(1). 10490–10490. 6 indexed citations
4.
Sintupisut, Nardnisa, et al.. (2022). An integrated analysis of the cancer genome atlas data discovers a hierarchical association structure across thirty three cancer types. SHILAP Revista de lepidopterología. 1(12). e0000151–e0000151. 2 indexed citations
5.
Chen, Yanbin, et al.. (2021). Genotypes of informative loci from 1000 Genomes data allude evolution and mixing of human populations. Scientific Reports. 11(1). 17741–17741. 1 indexed citations
6.
Akhmetzhanov, Andrei R., Jong Wook Kim, Ryan J. Sullivan, et al.. (2019). Modelling bistable tumour population dynamics to design effective treatment strategies. Journal of Theoretical Biology. 474. 88–102. 20 indexed citations
7.
Yeang, Chen‐Hsiang, et al.. (2018). Explaining cancer type specific mutations with transcriptomic and epigenomic features in normal tissues. Scientific Reports. 8(1). 11456–11456. 10 indexed citations
8.
Chen, Yen‐Fu, et al.. (2017). A quantitative model for the rate-limiting process of UGA alternative assignments to stop and selenocysteine codons. PLoS Computational Biology. 13(2). e1005367–e1005367. 4 indexed citations
9.
Chou, Shen‐Ju, et al.. (2016). Analysis of spatial-temporal gene expression patterns reveals dynamics and regionalization in developing mouse brain. Scientific Reports. 6(1). 19274–19274. 19 indexed citations
10.
Lin, I‐Ying, Feng‐Lan Chiu, Chen‐Hsiang Yeang, et al.. (2014). Suppression of the SOX2 Neural Effector Gene by PRDM1 Promotes Human Germ Cell Fate in Embryonic Stem Cells. Stem Cell Reports. 2(2). 189–204. 42 indexed citations
11.
Sintupisut, Nardnisa, Pei-Ling Liu, & Chen‐Hsiang Yeang. (2013). An integrative characterization of recurrent molecular aberrations in glioblastoma genomes. Nucleic Acids Research. 41(19). 8803–8821. 34 indexed citations
12.
Yeang, Chen‐Hsiang. (2010). Exact loopy belief propagation on Euler graphs. International Conference on Artificial Intelligence. 471–477. 1 indexed citations
13.
Yeang, Chen‐Hsiang. (2010). Integration of Metabolic Reactions and Gene Regulation. Molecular Biotechnology. 47(1). 70–82. 7 indexed citations
14.
Yeang, Chen‐Hsiang & Nils A. Baas. (2009). Evolution of Domain Compositions in the Metabolic Networks of Human and Escherichia Coli.. 578–584. 1 indexed citations
15.
Yeang, Chen‐Hsiang. (2009). Integration of Metabolic Reactions and Gene Regulation. Methods in molecular biology. 553. 265–285. 1 indexed citations
16.
Yeang, Chen‐Hsiang. (2008). Identifying Coevolving Partners from Paralogous Gene Families. Evolutionary Bioinformatics. 4. 97–107. 4 indexed citations
17.
Yeang, Chen‐Hsiang, et al.. (2007). Detecting the Coevolution of Biosequences—An Example of RNA Interaction Prediction. Molecular Biology and Evolution. 24(9). 2119–2131. 24 indexed citations
18.
Yeang, Chen‐Hsiang & Martin Vingron. (2006). A joint model of regulatory and metabolic networks. BMC Bioinformatics. 7(1). 332–332. 35 indexed citations
19.
Yeang, Chen‐Hsiang, H. Craig Mak, Scott McCuine, et al.. (2005). Validation and refinement of gene-regulatory pathways on a network of physical interactions. Genome biology. 6(7). R62–R62. 64 indexed citations
20.
Yeang, Chen‐Hsiang & Tommi Jaakkola. (2005). TIME SERIES ANALYSIS OF GENE EXPRESSION AND LOCATION DATA. International Journal of Artificial Intelligence Tools. 14(5). 755–769. 3 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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