Tun‐Wen Pai

1.6k total citations
116 papers, 1.1k citations indexed

About

Tun‐Wen Pai is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tun‐Wen Pai has authored 116 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 13 papers in Computer Vision and Pattern Recognition and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tun‐Wen Pai's work include Genomics and Phylogenetic Studies (19 papers), RNA and protein synthesis mechanisms (11 papers) and vaccines and immunoinformatics approaches (11 papers). Tun‐Wen Pai is often cited by papers focused on Genomics and Phylogenetic Studies (19 papers), RNA and protein synthesis mechanisms (11 papers) and vaccines and immunoinformatics approaches (11 papers). Tun‐Wen Pai collaborates with scholars based in Taiwan, Australia and Malaysia. Tun‐Wen Pai's co-authors include Hao‐Teng Chang, Hsin‐Wei Wang, Mon-Chau Shie, Chi‐Chia Sun, Shanq-Jang Ruan, Chien‐Ming Chen, Chin‐Hwa Hu, Ya‐Chi Lin, Wen‐Shyong Tzou and Margaret Dah‐Tsyr Chang and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Tun‐Wen Pai

107 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tun‐Wen Pai Taiwan 19 446 213 172 84 76 116 1.1k
Rajat K. De India 18 590 1.3× 182 0.9× 83 0.5× 131 1.6× 343 4.5× 90 1.3k
Bingding Huang China 18 1.1k 2.6× 192 0.9× 268 1.6× 90 1.1× 136 1.8× 59 2.1k
Zhiqiang Ma China 20 960 2.2× 90 0.4× 113 0.7× 67 0.8× 106 1.4× 64 1.3k
Wenle Wang China 21 690 1.5× 245 1.2× 384 2.2× 65 0.8× 104 1.4× 53 2.4k
Vebjorn Ljosa United States 13 832 1.9× 114 0.5× 43 0.3× 67 0.8× 111 1.5× 18 1.6k
Jing Xu China 23 547 1.2× 422 2.0× 122 0.7× 41 0.5× 436 5.7× 161 1.9k
Cheng Chang China 23 738 1.7× 178 0.8× 33 0.2× 175 2.1× 132 1.7× 129 1.7k
Chia‐Hung Wang Taiwan 15 268 0.6× 135 0.6× 67 0.4× 35 0.4× 65 0.9× 69 875
Paul Albert United States 20 275 0.6× 257 1.2× 67 0.4× 113 1.3× 390 5.1× 55 1.8k

Countries citing papers authored by Tun‐Wen Pai

Since Specialization
Citations

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

Fields of papers citing papers by Tun‐Wen Pai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tun‐Wen Pai. 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 Tun‐Wen Pai. The network helps show where Tun‐Wen Pai may publish in the future.

Co-authorship network of co-authors of Tun‐Wen Pai

This figure shows the co-authorship network connecting the top 25 collaborators of Tun‐Wen Pai. A scholar is included among the top collaborators of Tun‐Wen Pai 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 Tun‐Wen Pai. Tun‐Wen Pai 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.
Tsai, Yi‐Hsuan, Prasenjit Mitra, David Taniar, & Tun‐Wen Pai. (2025). DNA methylation biomarker analysis from low-survival-rate cancers based on genetic functional approaches. Frontiers in Bioinformatics. 5. 1523524–1523524.
2.
Pai, Tun‐Wen, et al.. (2025). EnhanceCTI: Enhanced semantic filtering and feature extraction framework for industry-specific cyber threat intelligence. Computers & Security. 158. 104649–104649. 1 indexed citations
3.
Yang, Yea‐Ru, Jui‐Chen Tsai, Yang Yu, et al.. (2025). Automatic Movement Recognition for Evaluating the Gross Motor Development of Infants. Children. 12(3). 310–310. 1 indexed citations
4.
Huang, Pei‐Wen, Yu-Chieh Lin, Chien‐Chung Fu, et al.. (2023). Deep-learning based breast cancer detection for cross-staining histopathology images. Heliyon. 9(2). e13171–e13171. 18 indexed citations
5.
Chang, Tzu‐Yang, et al.. (2023). Interferon‐stimulated gene 15 polymorphisms are associated with spontaneous preterm birth in Taiwanese women. American Journal of Reproductive Immunology. 90(6). e13790–e13790. 1 indexed citations
6.
Wang, Winston & Tun‐Wen Pai. (2023). Enhancing Small Tabular Clinical Trial Dataset through Hybrid Data Augmentation: Combining SMOTE and WCGAN-GP. Data. 8(9). 135–135. 14 indexed citations
7.
Taniar, David, et al.. (2023). Progression to myocardial infarction short-term death based on interval sequential pattern mining. BMC Cardiovascular Disorders. 23(1). 394–394. 3 indexed citations
8.
Poong, Sze‐Wan, et al.. (2022). Transcriptomic analysis reveals distinct mechanisms of adaptation of a polar picophytoplankter under ocean acidification conditions. Marine Environmental Research. 182. 105782–105782. 4 indexed citations
9.
Tzou, Wen‐Shyong, Chung‐Hao Li, Pang‐Hung Hsu, Tun‐Wen Pai, & Chin‐Hwa Hu. (2021). Microsecond-Timescale Conformational Dynamics Reveals the Flexibility and Communication Pathway of the KIT Extracellular Domain in Complex with Stem Cell Factor. 5(1). 1–12. 1 indexed citations
10.
Wu, Jen‐Leih, et al.. (2019). A voting mechanism-based linear epitope prediction system for the host-specific Iridoviridae family. BMC Bioinformatics. 20(S7). 192–192. 2 indexed citations
11.
Ueng, Shyh‐Kuang, et al.. (2017). Intelligent molecular orientation transformation in 3D printing system. Microsystem Technologies. 24(1). 291–297. 1 indexed citations
12.
Kao, Tsung-Yu, et al.. (2017). Comparison of grouper infection with two different iridoviruses using transcriptome sequencing and multiple reference species selection. Fish & Shellfish Immunology. 71. 264–274. 14 indexed citations
13.
Huang, Hao-Jen, Huang-Mo Sung, Hungjiun Liaw, et al.. (2015). Ecological genomics in Xanthomonas: the nature of genetic adaptation with homologous recombination and host shifts. BMC Genomics. 16(1). 188–188. 17 indexed citations
14.
Chang, Hao‐Teng, et al.. (2014). Identification of Simple Sequence Repeat Biomarkers through Cross-Species Comparison in a Tag Cloud Representation. BioMed Research International. 2014. 1–11. 4 indexed citations
15.
Chen, Chien‐Ming, et al.. (2014). Gene Ontology based housekeeping gene selection for RNA-seq normalization. Methods. 67(3). 354–363. 19 indexed citations
16.
Chang, Hao‐Teng, et al.. (2014). Cross-species identification of in silico microsatellite biomarkers for genetic disease. Biomedicine. 4(2). 14–14. 2 indexed citations
17.
Wang, Hsin‐Wei, Ya‐Chi Lin, Tun‐Wen Pai, & Hao‐Teng Chang. (2011). Prediction of B‐cell Linear Epitopes with a Combination of Support Vector Machine Classification and Amino Acid Propensity Identification. BioMed Research International. 2011(1). 432830–432830. 70 indexed citations
18.
Chen, Chien‐Ming, et al.. (2009). Identification of Conserved Simple Sequence Repeats from Orthologous Disease Genes.. 129–136. 1 indexed citations
19.
Chang, Hao‐Teng, et al.. (2006). A reinforced merging methodology for mapping unique peptide motifs in members of protein families. BMC Bioinformatics. 7(1). 38–38. 12 indexed citations
20.
Pai, Tun‐Wen, et al.. (2006). REMUS: a tool for identification of unique peptide segments as epitopes. Nucleic Acids Research. 34(Web Server). W198–W201. 9 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Rajat K. De Breakdown of academic impact, for papers by Bingding Huang Breakdown of academic impact, for papers by Zhiqiang Ma Breakdown of academic impact, for papers by Wenle Wang Breakdown of academic impact, for papers by Vebjorn Ljosa Breakdown of academic impact, for papers by Jing Xu Breakdown of academic impact, for papers by Cheng Chang Breakdown of academic impact, for papers by Chia‐Hung Wang Breakdown of academic impact, for papers by Paul Albert
Rankless by CCL
2026