Duyen Thi

739 total citations
15 papers, 513 citations indexed

About

Duyen Thi is a scholar working on Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Duyen Thi has authored 15 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Duyen Thi's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Glioma Diagnosis and Treatment (5 papers) and Machine Learning in Bioinformatics (4 papers). Duyen Thi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Glioma Diagnosis and Treatment (5 papers) and Machine Learning in Bioinformatics (4 papers). Duyen Thi collaborates with scholars based in Taiwan, Vietnam and United States. Duyen Thi's co-authors include Nguyen Quoc Khanh Le, Luu Ho Thanh Lam, Truong Nguyen Khanh Hung, Trinh‐Trung‐Duong Nguyen, Lương Hữu Đăng, Edward Kien Yee Yapp, Cheng‐Yu Chen, Hui‐Yuan Yeh, Quynh Anh Le and Ngan Nguyen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Duyen Thi

14 papers receiving 505 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Duyen Thi Taiwan 11 178 166 105 78 60 15 513
Luu Ho Thanh Lam Taiwan 8 134 0.8× 119 0.7× 74 0.7× 45 0.6× 66 1.1× 9 365
Truong Nguyen Khanh Hung Vietnam 11 140 0.8× 127 0.8× 42 0.4× 78 1.0× 67 1.1× 19 480
Erdal Taşçı Türkiye 11 182 1.0× 72 0.4× 65 0.6× 197 2.5× 88 1.5× 39 532
Lei Mao China 15 74 0.4× 351 2.1× 51 0.5× 58 0.7× 53 0.9× 63 820
Edward Kien Yee Yapp Singapore 9 69 0.4× 363 2.2× 28 0.3× 81 1.0× 29 0.5× 10 585
Felipe Giuste United States 11 82 0.5× 225 1.4× 25 0.2× 94 1.2× 41 0.7× 36 519
Lujia Wang China 14 130 0.7× 110 0.7× 89 0.8× 44 0.6× 79 1.3× 36 524
Ken Takasawa Japan 15 188 1.1× 264 1.6× 17 0.2× 142 1.8× 69 1.1× 27 652
Fleur Jeanquartier Austria 11 60 0.3× 94 0.6× 20 0.2× 67 0.9× 22 0.4× 17 302
Georgios C. Manikis Greece 15 489 2.7× 51 0.3× 36 0.3× 136 1.7× 73 1.2× 65 795

Countries citing papers authored by Duyen Thi

Since Specialization
Citations

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

Fields of papers citing papers by Duyen Thi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Duyen Thi. 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 Duyen Thi. The network helps show where Duyen Thi may publish in the future.

Co-authorship network of co-authors of Duyen Thi

This figure shows the co-authorship network connecting the top 25 collaborators of Duyen Thi. A scholar is included among the top collaborators of Duyen Thi 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 Duyen Thi. Duyen Thi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Thi, Duyen, et al.. (2024). Unitig-centered pan-genome machine learning approach for predicting antibiotic resistance and discovering novel resistance genes in bacterial strains. Computational and Structural Biotechnology Journal. 23. 1864–1876. 2 indexed citations
2.
Allodji, Rodrigue S., Maria Vakalopoulou, Duyen Thi, et al.. (2023). Dosiomics-Based Prediction of Radiation-Induced Valvulopathy after Childhood Cancer. Cancers. 15(12). 3107–3107. 3 indexed citations
3.
4.
Lam, Luu Ho Thanh, et al.. (2022). A Radiomics-Based Machine Learning Model for Prediction of Tumor Mutational Burden in Lower-Grade Gliomas. Cancers. 14(14). 3492–3492. 16 indexed citations
5.
Lam, Luu Ho Thanh, et al.. (2022). Molecular subtype classification of low‐grade gliomas using magnetic resonance imaging‐based radiomics and machine learning. NMR in Biomedicine. 35(11). e4792–e4792. 51 indexed citations
6.
Le, Nguyen Quoc Khanh, et al.. (2021). Radiomics-based machine learning model for efficiently classifying transcriptome subtypes in glioblastoma patients from MRI. Computers in Biology and Medicine. 132. 104320–104320. 87 indexed citations
7.
Le, Nguyen Quoc Khanh, Duyen Thi, Trinh‐Trung‐Duong Nguyen, & Quynh Anh Le. (2021). A sequence-based prediction of Kruppel-like factors proteins using XGBoost and optimized features. Gene. 787. 145643–145643. 49 indexed citations
8.
Thi, Duyen & Nguyen Quoc Khanh Le. (2020). Using extreme gradient boosting to identify origin of replication in Saccharomyces cerevisiae via hybrid features. Genomics. 112(3). 2445–2451. 46 indexed citations
9.
Le, Nguyen Quoc Khanh, et al.. (2020). XGBoost Improves Classification of MGMT Promoter Methylation Status in IDH1 Wildtype Glioblastoma. Journal of Personalized Medicine. 10(3). 128–128. 84 indexed citations
10.
Le, Nguyen Quoc Khanh, Duyen Thi, Truong Nguyen Khanh Hung, et al.. (2020). A Computational Framework Based on Ensemble Deep Neural Networks for Essential Genes Identification. International Journal of Molecular Sciences. 21(23). 9070–9070. 49 indexed citations
11.
Thi, Duyen, et al.. (2020). Using deep neural networks and biological subwords to detect protein S-sulfenylation sites. Briefings in Bioinformatics. 22(3). 55 indexed citations
12.
Le, Nguyen Quoc Khanh, et al.. (2020). Identification of gene expression signatures for psoriasis classification using machine learning techniques. 1. 100001–100001. 18 indexed citations
13.
Thi, Duyen & Nguyen Quoc Khanh Le. (2019). A sequence-based approach for identifying recombination spots in Saccharomyces cerevisiae by using hyper-parameter optimization in FastText and support vector machine. Chemometrics and Intelligent Laboratory Systems. 194. 103855–103855. 11 indexed citations
14.
Ha, Pham Thi Thu, et al.. (2019). Evaluation of Enzyme Protease Activity and Inhibition Effect on Pyricularia grisea with the Leaf Extract of Commela communis L.. SHILAP Revista de lepidopterología. 13(3). 1389–1396.
15.

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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