World's Best Scientists 2026 revealed!
Nguyen Quoc Khanh Le

Nguyen Quoc Khanh Le

Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
41
Citations
3705
World Ranking
632
National Ranking
1

Computer Science

D-Index
46
Citations
4665
World Ranking
6958
National Ranking
59

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Nguyen Quoc Khanh Le is affiliated with Taipei Medical University in Taiwan and specializes in research at the intersection of biochemistry, genetics, molecular biology, and medicine. Their primary fields of study include Biochemistry, Genetics, and Molecular Biology, with a significant focus on Medicine.

The scientist's subfields cover Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computational Theory and Mathematics, and Artificial Intelligence. Their research topics emphasize machine learning applications in bioinformatics and medical imaging, RNA and protein synthesis mechanisms, genomics and phylogenetic studies, computational drug discovery methods, vaccines, immunoinformatics approaches, and glioma diagnosis and treatment.

Their frequent publication venues include:

  • Computers in Biology and Medicine
  • Cancers
  • Briefings in Bioinformatics
  • Journal of the American College of Cardiology
  • Methods

Nguyen Quoc Khanh Le has collaborated extensively with several co-authors, including:

  • Le Huu Nhat Minh
  • Trinh-Trung-Duong Nguyen
  • Ngan Nguyen
  • Yu-Yen Ou
  • Quang-Thai Ho

Recent published papers by Nguyen Quoc Khanh Le illustrate their focus on machine learning and medical imaging analysis. These include:

  • A transformer architecture based on BERT and 2D convolutional neural network to identify DNA enhancers from sequence information, 2021, Briefings in Bioinformatics
  • Machine Learning-Based Radiomics Signatures for EGFR and KRAS Mutations Prediction in Non-Small-Cell Lung Cancer, 2021, International Journal of Molecular Sciences
  • Radiomics-based machine learning model for efficiently classifying transcriptome subtypes in glioblastoma patients from MRI, 2021, Computers in Biology and Medicine
  • XGBoost Improves Classification of MGMT Promoter Methylation Status in IDH1 Wildtype Glioblastoma, 2020, Journal of Personalized Medicine

In addition, Nguyen Quoc Khanh Le's research intersects with explainable AI approaches, as shown in their involvement in "On the road to explainable AI in drug-drug interactions prediction: A systematic review," published in 2022 in the Computational and Structural Biotechnology Journal.

Best Publications

  • A transformer architecture based on BERT and 2D convolutional neural network to identify DNA enhancers from sequence information

    Nguyen Quoc Khanh Le;Quang-Thai Ho;Trinh-Trung-Duong Nguyen;Yu-Yen Ou

  • iEnhancer-5Step: Identifying enhancers using hidden information of DNA sequences via Chou's 5-step rule and word embedding

    Nguyen Quoc Khanh Le;Edward Kien Yee Yapp;Quang-Thai Ho;Nagarajan Nagasundaram

  • Machine Learning-Based Radiomics Signatures for EGFR and KRAS Mutations Prediction in Non-Small-Cell Lung Cancer.

    Nguyen Quoc Khanh Le;Nguyen Quoc Khanh Le;Quang Hien Kha;Van Hiep Nguyen;Yung-Chieh Chen

  • Classifying Promoters by Interpreting the Hidden Information of DNA Sequences via Deep Learning and Combination of Continuous FastText N-Grams.

    Nguyen Quoc Khanh Le;Edward Kien Yee Yapp;Nagarajan Nagasundaram;Hui-Yuan Yeh

  • Radiomics-based machine learning model for efficiently classifying transcriptome subtypes in glioblastoma patients from MRI.

    Nguyen Quoc Khanh Le;Nguyen Quoc Khanh Le;Truong Nguyen Khanh Hung;Duyen Thi Do;Luu Ho Thanh Lam

  • Incorporating deep learning with convolutional neural networks and position specific scoring matrices for identifying electron transport proteins.

    Nguyen Quoc Khanh Le;Quang Thai Ho;Yu Yen Ou

  • iEnhancer-ECNN: identifying enhancers and their strength using ensembles of convolutional neural networks.

    Quang H. Nguyen;Thanh Hoang Nguyen-Vo;Nguyen Quoc Khanh Le;Trang T.T. Do

  • Identification of clathrin proteins by incorporating hyperparameter optimization in deep learning and PSSM profiles

    Nguyen Quoc Khanh Le;Tuan Tu Huynh;Edward Kien Yee Yapp;Hui Yuan Yeh

  • Application of Computational Biology and Artificial Intelligence Technologies in Cancer Precision Drug Discovery

    Nagasundaram Nagarajan;Edward K.Y. Yapp;Nguyen Quoc Khanh Le;Balu Kamaraj

  • Machine Learning Model for Identifying Antioxidant Proteins Using Features Calculated from Primary Sequences

    Luu Ho Thanh Lam;Luu Ho Thanh Lam;Ngoc Hoang Le;Le Van Tuan;Ho Tran Ban

  • iN6-methylat (5-step): identifying DNA N6-methyladenine sites in rice genome using continuous bag of nucleobases via Chou's 5-step rule.

    Nguyen Quoc Khanh Le

  • Classifying the molecular functions of Rab GTPases in membrane trafficking using deep convolutional neural networks.

    Nguyen Quoc Khanh Le;Quang Thai Ho;Yu Yen Ou

  • Using deep neural networks and biological subwords to detect protein S-sulfenylation sites

    Duyen Thi Do;Thanh Quynh Trang Le;Nguyen Quoc Khanh Le

  • A Computational Framework Based on Ensemble Deep Neural Networks for Essential Genes Identification.

    Nguyen Quoc Khanh Le;Nguyen Quoc Khanh Le;Duyen Thi Do;Truong Nguyen Khanh Hung;Truong Nguyen Khanh Hung;Luu Ho Thanh Lam;Luu Ho Thanh Lam

  • Prediction of FAD binding sites in electron transport proteins according to efficient radial basis function networks and significant amino acid pairs

    Nguyen Quoc Khanh Le;Yu Yen Ou

  • Identifying the molecular functions of electron transport proteins using radial basis function networks and biochemical properties

    Nguyen Quoc Khanh Le;Trinh Trung Duong Nguyen;Yu Yen Ou

  • Improved Prediction Model of Protein Lysine Crotonylation Sites Using Bidirectional Recurrent Neural Networks.

    Sian Soo Tng;Nguyen Quoc Khanh Le;Nguyen Quoc Khanh Le;Hui-Yuan Yeh;Matthew Chin Heng Chua

  • ET-GRU: using multi-layer gated recurrent units to identify electron transport proteins

    Nguyen Quoc Khanh Le;Edward Kien Yee Yapp;Hui Yuan Yeh

  • Potential of deep representative learning features to interpret the sequence information in proteomics.

    Nguyen Quoc Khanh Le

  • Computational identification of vesicular transport proteins from sequences using deep gated recurrent units architecture.

    Nguyen Quoc Khanh Le;Nguyen Quoc Khanh Le;Edward Kien Yee Yapp;Nagarajan Nagasundaram;Matthew Chin Heng Chua

  • SNARE-CNN: a 2D convolutional neural network architecture to identify SNARE proteins from high-throughput sequencing data.

    Nguyen Quoc Khanh Le;Van Nui Nguyen

  • iMotor-CNN: Identifying molecular functions of cytoskeleton motor proteins using 2D convolutional neural network via Chou's 5-step rule

    Nguyen Quoc Khanh Le;Edward Kien Yee Yapp;Yu Yen Ou;Hui Yuan Yeh

Frequent Co-Authors

Susanto Rahardja
Susanto Rahardja Northwestern Polytechnical University
Chih-Min Lin
Chih-Min Lin Yuan Ze University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA unlocks diverse online degree and career opportunities. Many students find related fields such as cybersecurity, construction management, criminal justice, and accounting appealing due to the growing demand for technical and analytical skills.

For those interested in information security, a master's degree in cybersecurity online is a top choice. This pathway focuses on protecting digital systems and opens doors to high-paying tech jobs. If you’re looking for roles in project leadership or real estate, the cheapest construction management degree options online can prepare you for overseeing complex building projects.

Similarly, a criminal justice degree online accredited is ideal if you want to combine a tech background with law enforcement or legal systems expertise. Additionally, those who prefer working with data may consider accounting classes online to sharpen their skills for roles in financial analysis, auditing, and consulting.

Each of these online degree paths provides flexible, affordable education and widens your career possibilities beyond traditional tech roles.

Best Scientists Citing Nguyen Quoc Khanh Le

Trending Scientists