Quang‐Thai Ho

1.1k total citations
18 papers, 794 citations indexed

About

Quang‐Thai Ho is a scholar working on Molecular Biology, Cell Biology and Artificial Intelligence. According to data from OpenAlex, Quang‐Thai Ho has authored 18 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 3 papers in Cell Biology and 1 paper in Artificial Intelligence. Recurrent topics in Quang‐Thai Ho's work include Machine Learning in Bioinformatics (18 papers), RNA and protein synthesis mechanisms (13 papers) and Genomics and Phylogenetic Studies (6 papers). Quang‐Thai Ho is often cited by papers focused on Machine Learning in Bioinformatics (18 papers), RNA and protein synthesis mechanisms (13 papers) and Genomics and Phylogenetic Studies (6 papers). Quang‐Thai Ho collaborates with scholars based in Taiwan, Vietnam and Singapore. Quang‐Thai Ho's co-authors include Nguyen Quoc Khanh Le, Yu‐Yen Ou, Trinh‐Trung‐Duong Nguyen, Hui‐Yuan Yeh, Edward Kien Yee Yapp, N. Nagasundaram, Jung‐Su Chang and Dinh‐Van Phan and has published in prestigious journals such as Analytical Biochemistry, Journal of Computational Chemistry and Proteins Structure Function and Bioinformatics.

In The Last Decade

Quang‐Thai Ho

18 papers receiving 788 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Quang‐Thai Ho Taiwan 14 544 131 49 47 46 18 794
Edward Kien Yee Yapp Singapore 9 363 0.7× 81 0.6× 50 1.0× 45 1.0× 36 0.8× 10 585
Muhammad Tahir Pakistan 21 1.0k 1.9× 202 1.5× 101 2.1× 47 1.0× 105 2.3× 46 1.5k
Wenzheng Bao China 18 795 1.5× 113 0.9× 79 1.6× 105 2.2× 148 3.2× 59 1.1k
Burcu Bakır-Güngör Türkiye 18 365 0.7× 128 1.0× 23 0.5× 14 0.3× 58 1.3× 62 679
Len Trigg New Zealand 5 735 1.4× 105 0.8× 100 2.0× 28 0.6× 178 3.9× 8 1.1k
Shixiang Wan China 9 641 1.2× 110 0.8× 86 1.8× 30 0.6× 147 3.2× 12 842
Ping Zou China 11 332 0.6× 64 0.5× 44 0.9× 23 0.5× 26 0.6× 48 640
Zhongxiao Li Saudi Arabia 11 401 0.7× 181 1.4× 64 1.3× 62 1.3× 76 1.7× 18 822
Trinh‐Trung‐Duong Nguyen Taiwan 13 379 0.7× 90 0.7× 52 1.1× 15 0.3× 20 0.4× 20 520
Hailin Hu China 14 546 1.0× 84 0.6× 84 1.7× 54 1.1× 43 0.9× 23 747

Countries citing papers authored by Quang‐Thai Ho

Since Specialization
Citations

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

Fields of papers citing papers by Quang‐Thai Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Quang‐Thai Ho. 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 Quang‐Thai Ho. The network helps show where Quang‐Thai Ho may publish in the future.

Co-authorship network of co-authors of Quang‐Thai Ho

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

All Works

18 of 18 papers shown
1.
Ou, Yu‐Yen, et al.. (2023). Recent advances in features generation for membrane protein sequences: From multiple sequence alignment to pre‐trained language models. PROTEOMICS. 23(23-24). e2200494–e2200494. 2 indexed citations
2.
Nguyen, Trinh‐Trung‐Duong, et al.. (2022). MFPS_CNN: Multi‐filter Pattern Scanning from Position‐specific Scoring Matrix with Convolutional Neural Network for Efficient Prediction of Ion Transporters. Molecular Informatics. 41(9). e2100271–e2100271. 8 indexed citations
3.
Nguyen, Trinh‐Trung‐Duong, et al.. (2022). Using multiple convolutional window scanning of convolutional neural network for an efficient prediction of ATP‐binding sites in transport proteins. Proteins Structure Function and Bioinformatics. 90(7). 1486–1492. 4 indexed citations
4.
Le, Nguyen Quoc Khanh, et al.. (2022). BERT-Promoter: An improved sequence-based predictor of DNA promoter using BERT pre-trained model and SHAP feature selection. Computational Biology and Chemistry. 99. 107732–107732. 70 indexed citations
5.
Ho, Quang‐Thai, et al.. (2022). Identifying SNARE Proteins Using an Alignment-Free Method Based on Multiscan Convolutional Neural Network and PSSM Profiles. Journal of Chemical Information and Modeling. 62(19). 4820–4826. 61 indexed citations
6.
Ho, Quang‐Thai, et al.. (2021). GT-Finder: Classify the family of glucose transporters with pre-trained BERT language models. Computers in Biology and Medicine. 131. 104259–104259. 27 indexed citations
7.
8.
Ho, Quang‐Thai, Trinh‐Trung‐Duong Nguyen, Nguyen Quoc Khanh Le, & Yu‐Yen Ou. (2021). FAD-BERT: Improved prediction of FAD binding sites using pre-training of deep bidirectional transformers. Computers in Biology and Medicine. 131. 104258–104258. 43 indexed citations
9.
Le, Nguyen Quoc Khanh & Quang‐Thai Ho. (2021). Deep transformers and convolutional neural network in identifying DNA N6-methyladenine sites in cross-species genomes. Methods. 204. 199–206. 72 indexed citations
10.
Le, Nguyen Quoc Khanh, Quang‐Thai Ho, Trinh‐Trung‐Duong Nguyen, & Yu‐Yen Ou. (2021). A transformer architecture based on BERT and 2D convolutional neural network to identify DNA enhancers from sequence information. Briefings in Bioinformatics. 22(5). 129 indexed citations
11.
Nguyen, Trinh‐Trung‐Duong, Nguyen Quoc Khanh Le, Quang‐Thai Ho, Dinh‐Van Phan, & Yu‐Yen Ou. (2020). Using Language Representation Learning Approach to Efficiently Identify Protein Complex Categories in Electron Transport Chain. Molecular Informatics. 39(10). e2000033–e2000033. 4 indexed citations
12.
Nguyen, Trinh‐Trung‐Duong, Nguyen Quoc Khanh Le, Quang‐Thai Ho, Dinh‐Van Phan, & Yu‐Yen Ou. (2020). TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings. BMC Medical Genomics. 13(S10). 155–155. 14 indexed citations
13.
Le, Nguyen Quoc Khanh, Edward Kien Yee Yapp, Quang‐Thai Ho, et al.. (2019). iEnhancer-5Step: Identifying enhancers using hidden information of DNA sequences via Chou's 5-step rule and word embedding. Analytical Biochemistry. 571. 53–61. 112 indexed citations
14.
Nguyen, Trinh‐Trung‐Duong, Nguyen Quoc Khanh Le, Quang‐Thai Ho, Dinh‐Van Phan, & Yu‐Yen Ou. (2019). Using word embedding technique to efficiently represent protein sequences for identifying substrate specificities of transporters. Analytical Biochemistry. 577. 73–81. 28 indexed citations
15.
Le, Nguyen Quoc Khanh, Quang‐Thai Ho, Edward Kien Yee Yapp, Yu‐Yen Ou, & Hui‐Yuan Yeh. (2019). DeepETC: A deep convolutional neural network architecture for investigating and classifying electron transport chain's complexes. Neurocomputing. 375. 71–79. 51 indexed citations
16.
Le, Nguyen Quoc Khanh, Quang‐Thai Ho, & Yu‐Yen Ou. (2018). Classifying the molecular functions of Rab GTPases in membrane trafficking using deep convolutional neural networks. Analytical Biochemistry. 555. 33–41. 57 indexed citations
17.
Le, Nguyen Quoc Khanh, Quang‐Thai Ho, & Yu‐Yen Ou. (2018). Using two-dimensional convolutional neural networks for identifying GTP binding sites in Rab proteins. Journal of Bioinformatics and Computational Biology. 17(1). 1950005–1950005. 17 indexed citations
18.
Le, Nguyen Quoc Khanh, Quang‐Thai Ho, & Yu‐Yen Ou. (2017). Incorporating deep learning with convolutional neural networks and position specific scoring matrices for identifying electron transport proteins. Journal of Computational Chemistry. 38(23). 2000–2006. 80 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 Edward Kien Yee Yapp Breakdown of academic impact, for papers by Muhammad Tahir Breakdown of academic impact, for papers by Wenzheng Bao Breakdown of academic impact, for papers by Burcu Bakır-Güngör Breakdown of academic impact, for papers by Len Trigg Breakdown of academic impact, for papers by Shixiang Wan Breakdown of academic impact, for papers by Ping Zou Breakdown of academic impact, for papers by Zhongxiao Li Breakdown of academic impact, for papers by Trinh‐Trung‐Duong Nguyen Breakdown of academic impact, for papers by Hailin Hu
Rankless by CCL
2026