Yu‐Da Lin

1.1k total citations
66 papers, 796 citations indexed

About

Yu‐Da Lin is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Yu‐Da Lin has authored 66 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 28 papers in Genetics and 9 papers in Artificial Intelligence. Recurrent topics in Yu‐Da Lin's work include Genetic Associations and Epidemiology (25 papers), Gene expression and cancer classification (23 papers) and Bioinformatics and Genomic Networks (12 papers). Yu‐Da Lin is often cited by papers focused on Genetic Associations and Epidemiology (25 papers), Gene expression and cancer classification (23 papers) and Bioinformatics and Genomic Networks (12 papers). Yu‐Da Lin collaborates with scholars based in Taiwan, Czechia and Yemen. Yu‐Da Lin's co-authors include Cheng‐Hong Yang, Li‐Yeh Chuang, Hsueh‐Wei Chang, Sin‐Hua Moi, Ming‐Feng Hou, Jin‐Bor Chen, Yu‐Huei Cheng, Li-Yeh Chuang, Ben‐Chung Cheng and Wen‐Chin Lee and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Yu‐Da Lin

66 papers receiving 771 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu‐Da Lin Taiwan 18 405 239 159 71 51 66 796
Marco Antoniotti Italy 17 482 1.2× 98 0.4× 122 0.8× 211 3.0× 79 1.5× 78 888
Sven Laur Estonia 11 509 1.3× 70 0.3× 310 1.9× 246 3.5× 72 1.4× 27 1.1k
Heng Pan United States 17 516 1.3× 86 0.4× 93 0.6× 125 1.8× 155 3.0× 36 1.2k
Arda Halu United States 16 427 1.1× 63 0.3× 61 0.4× 84 1.2× 114 2.2× 29 1.2k
Mingon Kang United States 17 457 1.1× 69 0.3× 246 1.5× 118 1.7× 55 1.1× 68 984
Ying Wu China 15 193 0.5× 57 0.2× 157 1.0× 94 1.3× 67 1.3× 84 1.0k
Benjamin J. Keller United States 13 176 0.4× 76 0.3× 192 1.2× 18 0.3× 16 0.3× 24 916
Ravi Madduri United States 21 260 0.6× 104 0.4× 231 1.5× 75 1.1× 25 0.5× 78 1.2k
Stijn Meganck Belgium 10 596 1.5× 48 0.2× 317 2.0× 118 1.7× 69 1.4× 25 1.1k
Hokeun Sun South Korea 16 268 0.7× 84 0.4× 47 0.3× 105 1.5× 33 0.6× 37 751

Countries citing papers authored by Yu‐Da Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Da Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Da Lin. 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 Yu‐Da Lin. The network helps show where Yu‐Da Lin may publish in the future.

Co-authorship network of co-authors of Yu‐Da Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Da Lin. A scholar is included among the top collaborators of Yu‐Da Lin 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 Yu‐Da Lin. Yu‐Da Lin 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, Cheng‐Hong, et al.. (2025). Improving Investment Forecasting: A Comparative Analysis of Machine Learning Models as Key GDP Indicators. IEEE Access. 13. 54517–54533. 1 indexed citations
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Yang, Cheng‐Hong, et al.. (2023). Analysis and Forecasting of International Airport Traffic Volume. Mathematics. 11(6). 1483–1483. 5 indexed citations
5.
Yang, Cheng‐Hong, Ming‐Feng Hou, Li‐Yeh Chuang, Cheng‐San Yang, & Yu‐Da Lin. (2022). Dimensionality reduction approach for many-objective epistasis analysis. Briefings in Bioinformatics. 24(1). 2 indexed citations
6.
Su, Yu-Sheng, et al.. (2022). Applying machine learning technologies to explore students’ learning features and performance prediction. Frontiers in Neuroscience. 16. 1018005–1018005. 14 indexed citations
7.
Yang, Cheng‐Hong, Li‐Yeh Chuang, & Yu‐Da Lin. (2019). An improved fuzzy set-based multifactor dimensionality reduction for detecting epistasis. Artificial Intelligence in Medicine. 102. 101768–101768. 8 indexed citations
8.
Yang, Cheng‐Hong, et al.. (2019). Effective hybrid approach for protein structure prediction in a two-dimensional Hydrophobic–Polar model. Computers in Biology and Medicine. 113. 103397–103397. 4 indexed citations
9.
Chen, Jin‐Bor, et al.. (2017). Impact of risk factors on functional status in maintenance hemodialysis patients. European journal of medical research. 22(1). 54–54. 16 indexed citations
10.
Yang, Cheng‐Hong, Li‐Yeh Chuang, & Yu‐Da Lin. (2017). Multiobjective differential evolution-based multifactor dimensionality reduction for detecting gene–gene interactions. Scientific Reports. 7(1). 12869–12869. 9 indexed citations
11.
Yang, Cheng‐Hong, Yu‐Da Lin, Li‐Yeh Chuang, & Hsueh‐Wei Chang. (2016). Analysis of high-order SNP barcodes in mitochondrial D-loop for chronic dialysis susceptibility. Journal of Biomedical Informatics. 63. 112–119. 7 indexed citations
12.
Yang, Cheng‐Hong, Yu‐Da Lin, & Li‐Yeh Chuang. (2016). tRNAfeature: An algorithm for tRNA features to identify tRNA genes in DNA sequences. Journal of Theoretical Biology. 404. 251–261. 3 indexed citations
13.
Chuang, Li‐Yeh, Sin‐Hua Moi, Yu‐Da Lin, & Cheng‐Hong Yang. (2016). A comparative analysis of chaotic particle swarm optimizations for detecting single nucleotide polymorphism barcodes. Artificial Intelligence in Medicine. 73. 23–33. 17 indexed citations
14.
Yang, Cheng‐Hong, et al.. (2016). A Hybrid Approach for CpG Island Detection in the Human Genome. PLoS ONE. 11(1). e0144748–e0144748. 8 indexed citations
15.
Yang, Cheng‐Hong, Yu‐Da Lin, Cheng‐San Yang, & Li‐Yeh Chuang. (2015). An efficiency analysis of high-order combinations of gene–gene interactions using multifactor-dimensionality reduction. BMC Genomics. 16(1). 489–489. 17 indexed citations
16.
Chen, Jin‐Bor, Li‐Yeh Chuang, Yu‐Da Lin, et al.. (2013). Genetic algorithm-generated SNP barcodes of the mitochondrial D-loop for chronic dialysis susceptibility. Mitochondrial DNA. 25(3). 231–237. 18 indexed citations
17.
Chen, Jin‐Bor, Li‐Yeh Chuang, Yu‐Da Lin, et al.. (2013). Preventive SNP–SNP interactions in the mitochondrial displacement loop (D-loop) from chronic dialysis patients. Mitochondrion. 13(6). 698–704. 18 indexed citations
18.
Yang, Cheng‐Hong, Yu‐Da Lin, Li‐Yeh Chuang, Jin‐Bor Chen, & Hsueh‐Wei Chang. (2013). MDR-ER: Balancing Functions for Adjusting the Ratio in Risk Classes and Classification Errors for Imbalanced Cases and Controls Using Multifactor-Dimensionality Reduction. PLoS ONE. 8(11). e79387–e79387. 28 indexed citations
19.
Yang, Cheng‐Hong, Li‐Yeh Chuang, Yu‐Huei Cheng, et al.. (2012). Single nucleotide polymorphism barcoding to evaluate oral cancer risk using odds ratio‐based genetic algorithms. The Kaohsiung Journal of Medical Sciences. 28(7). 362–368. 33 indexed citations
20.
Chuang, Li‐Yeh, Yu‐Da Lin, & Cheng‐Hong Yang. (2010). PtRNASS: Prediction of tRNA Secondary Structure from Nucleotide Sequences. 37(3). 204–209. 2 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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