| Bacteriophage classification for assembled contigs using graph convolutional network J Shang, J Jiang, Y Sun Bioinformatics 37 (Supplement_1), i25-i33, 2021 | 99 | 2021 |
| PhaTYP: predicting the lifestyle for bacteriophages using BERT J Shang, X Tang, Y Sun Briefings in Bioinformatics 24 (1), bbac487, 2023 | 98 | 2023 |
| Phage family classification under Caudoviricetes: A review of current tools using the latest ICTV classification framework Y Zhu, J Shang, C Peng, Y Sun Frontiers in microbiology 13, 1032186, 2022 | 79 | 2022 |
| CHEER: HierarCHical taxonomic classification for viral mEtagEnomic data via deep leaRning J Shang, Y Sun Methods 189, 95-103, 2021 | 57 | 2021 |
| Virus classification for viral genomic fragments using PhaGCN2 JZ Jiang, WG Yuan, J Shang, YH Shi, LL Yang, M Liu, P Zhu, T Jin, Y Sun, ... Briefings in bioinformatics 24 (1), bbac505, 2023 | 56 | 2023 |
| CHERRY: a Computational metHod for accuratE pRediction of virus–pRokarYotic interactions using a graph encoder–decoder model J Shang, Y Sun Briefings in Bioinformatics 23 (5), bbac182, 2022 | 53 | 2022 |
| Predicting the hosts of prokaryotic viruses using GCN-based semi-supervised learning J Shang, Y Sun BMC biology 19, 1-15, 2021 | 41 | 2021 |
| PhaBOX: a web server for identifying and characterizing phage contigs in metagenomic data J Shang, C Peng, H Liao, X Tang, Y Sun Bioinformatics advances 3 (1), vbad101, 2023 | 38 | 2023 |
| Accurate identification of bacteriophages from metagenomic data using Transformer J Shang, X Tang, R Guo, Y Sun Briefings in Bioinformatics 23 (4), bbac258, 2022 | 37 | 2022 |
| PLASMe: a tool to identify PLASMid contigs from short-read assemblies using transformer X Tang, J Shang, Y Ji, Y Sun Nucleic Acids Research 51 (15), e83-e83, 2023 | 32 | 2023 |
| Fast detection method of quick response code based on run‐length coding S Li, J Shang, Z Duan, J Huang IET Image Processing 12 (4), 546-551, 2018 | 31 | 2018 |
| PhaVIP: Phage VIrion Protein classification based on chaos game representation and Vision Transformer J Shang, C Peng, X Tang, Y Sun Bioinformatics 39 (Supplement_1), i30-i39, 2023 | 11 | 2023 |
| HOTSPOT: hierarchical host prediction for assembled plasmid contigs with transformer Y Ji, J Shang, X Tang, Y Sun Bioinformatics 39 (5), btad283, 2023 | 11 | 2023 |
| Improving protein domain classification for third-generation sequencing reads using deep learning N Du, J Shang, Y Sun BMC genomics 22, 1-13, 2021 | 10 | 2021 |
| Identifying ARG-carrying bacteriophages in a lake replenished by reclaimed water using deep learning techniques D Wang, J Shang, H Lin, J Liang, C Wang, Y Sun, Y Bai, J Qu Water Research 248, 120859, 2024 | 7 | 2024 |
| Haplodmf: viral haplotype reconstruction from long reads via deep matrix factorization D Cai, J Shang, Y Sun Bioinformatics 38 (24), 5360-5367, 2022 | 7 | 2022 |
| GDmicro: classifying host disease status with GCN and deep adaptation network based on the human gut microbiome data H Liao, J Shang, Y Sun Bioinformatics 39 (12), btad747, 2023 | 5 | 2023 |
| PhaGenus: genus-level classification of bacteriophages using a transformer model J Guan, C Peng, J Shang, X Tang, Y Sun Briefings in Bioinformatics 24 (6), bbad408, 2023 | 5 | 2023 |
| A robust fuzzy local information c-means clustering algorithm with noise detection J Shang, S Li, J Huang Ninth international conference on graphic and image processing (ICGIP 2017 …, 2018 | 5 | 2018 |
| RdRp-based sensitive taxonomic classification of RNA viruses for metagenomic data X Tang, J Shang, Y Sun Briefings in Bioinformatics 23 (2), bbac011, 2022 | 4 | 2022 |
Yanni SunCity University of Hong KongVerifierad e-postadress på cityu.edu.hk