FESK.COMYour global study desk
Email us
Home › Scholar › Quang H. Trinh
COMPILEDopen profilenot managed by this scholar
Q

Quang H. Trinh

Researcher Profile 6/10
This is my profile

Information

An h-index of 7 places this researcher in Biology, within the top 25% of 3,752 profiles in this field in our directory.

Featured publications

iCYP-MFE: Identifying Human Cytochrome P450 Inhibitors Using Multitask Learning and Molecular Fingerprint-Embedded Encoding47 citations
Journal of Chemical Information and Modeling · 2021 · DOI
iANP-EC: Identifying Anticancer Natural Products Using Ensemble Learning Incorporated with Evolutionary Computation40 citations
Journal of Chemical Information and Modeling · 2022 · DOI
Predicting Antimalarial Activity in Natural Products Using Pretrained Bidirectional Encoder Representations from Transformers29 citations
Journal of Chemical Information and Modeling · 2021 · DOI
From SMILES to Enhanced Molecular Property Prediction: A Unified Multimodal Framework with Predicted 3D Conformers and Contrastive Learning Techniques20 citations
Journal of Chemical Information and Modeling · 2024 · DOI
iPromoter-Seqvec: identifying promoters using bidirectional long short-term memory and sequence-embedded features18 citations
BMC Genomics · 2022 · DOI
Predicting Cardiotoxicity of Molecules Using Attention-Based Graph Neural Networks17 citations
Journal of Chemical Information and Modeling · 2024 · DOI
i4mC-GRU: Identifying DNA N 4 -Methylcytosine sites in mouse genomes using bidirectional gated recurrent unit and sequence-embedded features13 citations
Computational and Structural Biotechnology Journal · 2023 · DOI
iNSP‐GCAAP: Identifying nonclassical secreted proteins using global composition of amino acid properties5 citations
PROTEOMICS · 2022 · DOI
iR1mA-LSTM: Identifying N$$^{1}$$-Methyladenosine Sites in Human Transcriptomes Using Attention-Based Bidirectional Long Short-Term Memory2 citations
Studies in computational intelligence · 2023 · DOI
iR6mA-RNN: Identifying N6-Methyladenosine Sites in Eukaryotic Transcriptomes using Recurrent Neural Networks and Sequence-embedded Features1 citations
· 2023 · DOI

About the field of Biology

Common research topics in this field:

Genomics and Phylogenetic StudiesPlant-Microbe Interactions and ImmunityPlant tissue culture and regenerationPlant Diversity and EvolutionPlant and animal studiesPlant and Fungal Species Descriptions

Institutions with the most researchers in this field:

These figures count profiles currently in this directory, not nationwide statistics.

The publication list above is compiled from the open academic database OpenAlex (CC0 licence). Compare with the source record on OpenAlex ↗

Suggest / Claim this profile

  
Profile aggregated from public sources. We respect scholars' rights to edit and remove information — all requests are processed promptly.
Quang H. TrinhHanoi University of Science and Technology
Claim
Original profile stored athocthuat.vn— two pages display the same database, verification syncs everywhere.