Xubo Tang

596 total citations · 1 hit paper
17 papers, 317 citations indexed

About

Xubo Tang is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Xubo Tang has authored 17 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Ecology and 4 papers in Plant Science. Recurrent topics in Xubo Tang's work include Bacteriophages and microbial interactions (10 papers), Genomics and Phylogenetic Studies (9 papers) and Machine Learning in Bioinformatics (4 papers). Xubo Tang is often cited by papers focused on Bacteriophages and microbial interactions (10 papers), Genomics and Phylogenetic Studies (9 papers) and Machine Learning in Bioinformatics (4 papers). Xubo Tang collaborates with scholars based in Hong Kong, China and Australia. Xubo Tang's co-authors include Yanni Sun, Jiayu Shang, Ruocheng Guo, Guowei Chen, Mǎng Shī, Shuai Liu, Fan Zhang, Xiaotao Jiang, Emad El‐Omar and Kei Hang Katie Chan and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Xubo Tang

16 papers receiving 315 citations

Hit Papers

PhaTYP: predicting the lifestyle for bacteriophages using... 2022 2026 2023 2024 2022 40 80 120

Peers

Xubo Tang
Michal Babinski United States
Xubo Tang
Citations per year, relative to Xubo Tang Xubo Tang (= 1×) peers Michal Babinski

Countries citing papers authored by Xubo Tang

Since Specialization
Citations

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

Fields of papers citing papers by Xubo Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xubo Tang

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

All Works

17 of 17 papers shown
1.
Tang, Xubo, Jiayu Shang, Guowei Chen, et al.. (2024). SegVir: Reconstruction of Complete Segmented RNA Viral Genomes from Metatranscriptomes. Molecular Biology and Evolution. 41(8). 2 indexed citations
2.
Shang, Jiayu, et al.. (2024). GOPhage: protein function annotation for bacteriophages by integrating the genomic context. Briefings in Bioinformatics. 26(1). 2 indexed citations
3.
Shang, Jiayu, et al.. (2024). Accurate and efficient protein embedding using multi-teacher distillation learning. Bioinformatics. 40(9). 1 indexed citations
5.
Shang, Jiayu, et al.. (2024). PlasGO: enhancing GO-based function prediction for plasmid-encoded proteins based on genetic structure. GigaScience. 13. 1 indexed citations
6.
Tang, Xubo, et al.. (2023). PLASMe: a tool to identify PLASMid contigs from short-read assemblies using transformer. Nucleic Acids Research. 51(15). e83–e83. 38 indexed citations
7.
Shang, Jiayu, et al.. (2023). PhaBOX: a web server for identifying and characterizing phage contigs in metagenomic data. Bioinformatics Advances. 3(1). vbad101–vbad101. 50 indexed citations
8.
Shang, Jiayu, et al.. (2023). PhaVIP: Phage VIrion Protein classification based on chaos game representation and Vision Transformer. Bioinformatics. 39(Supplement_1). i30–i39. 14 indexed citations
9.
Shang, Jiayu, et al.. (2023). HOTSPOT: hierarchical host prediction for assembled plasmid contigs with transformer. Bioinformatics. 39(5). 12 indexed citations
10.
Chen, Guowei, Xubo Tang, Mǎng Shī, & Yanni Sun. (2023). VirBot: an RNA viral contig detector for metagenomic data. Bioinformatics. 39(3). 12 indexed citations
11.
Shang, Jiayu, et al.. (2023). PhaGenus: genus-level classification of bacteriophages using a Transformer model. Briefings in Bioinformatics. 24(6). 4 indexed citations
12.
Shang, Jiayu, Xubo Tang, & Yanni Sun. (2022). PhaTYP: predicting the lifestyle for bacteriophages using BERT. Briefings in Bioinformatics. 24(1). 123 indexed citations breakdown →
13.
Tang, Xubo, et al.. (2022). Design of tobacco storage environment monitoring system based on Lora technology. SHILAP Revista de lepidopterología. 45. 1064–1064. 2 indexed citations
14.
Tang, Xubo, Jiayu Shang, & Yanni Sun. (2022). RdRp-based sensitive taxonomic classification of RNA viruses for metagenomic data. Briefings in Bioinformatics. 23(2). 3 indexed citations
15.
Shang, Jiayu, Xubo Tang, Ruocheng Guo, & Yanni Sun. (2022). Accurate identification of bacteriophages from metagenomic data using Transformer. Briefings in Bioinformatics. 23(4). 36 indexed citations
17.
Tang, Xubo & Yanni Sun. (2019). Fast and accurate microRNA search using CNN. BMC Bioinformatics. 20(S23). 646–646. 13 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.

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