Jiayu Shang

1.2k total citations · 1 hit paper
34 papers, 672 citations indexed

About

Jiayu Shang is a scholar working on Molecular Biology, Ecology and Artificial Intelligence. According to data from OpenAlex, Jiayu Shang has authored 34 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 19 papers in Ecology and 5 papers in Artificial Intelligence. Recurrent topics in Jiayu Shang's work include Bacteriophages and microbial interactions (19 papers), Genomics and Phylogenetic Studies (19 papers) and RNA and protein synthesis mechanisms (6 papers). Jiayu Shang is often cited by papers focused on Bacteriophages and microbial interactions (19 papers), Genomics and Phylogenetic Studies (19 papers) and RNA and protein synthesis mechanisms (6 papers). Jiayu Shang collaborates with scholars based in Hong Kong, China and United Kingdom. Jiayu Shang's co-authors include Yanni Sun, Xubo Tang, Jing‐Zhe Jiang, Ruocheng Guo, Min Liu, Tao Jin, Liling Yang, Lihong Yuan, Zeng Liu and Jinjun Liu and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Water Research.

In The Last Decade

Jiayu Shang

33 papers receiving 667 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PhaTYP: predicting the lifestyle for bacteriophages using BERT

2022 123 citations Jiayu Shang, Xubo Tang et al. Briefings in Bioinformatics profile →

Peers

Jiayu Shang

ECOLO

MB

PS

ID

MICRO

Debebe Alemayehu Ireland

L. Sun China

Óscar Dias Portugal

Komwit Surachat Thailand

Jean-Guillaume Emond-Rhéault Canada

Baiyuan Li China

Jennifer R. Klaus United States

Denitsa Eckweiler Germany

Linhuan Wu China

Debebe Alemayehu Ireland

Jiayu Shang

208 ×0.5

ECOLO

209 ×0.7

MB

41 ×0.4

PS

69 ×0.8

ID

101 ×1.3

MICRO

Citations per year, relative to Jiayu Shang Jiayu Shang (= 1×) peers Debebe Alemayehu

Countries citing papers authored by Jiayu Shang

Since Specialization

Citations

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

Fields of papers citing papers by Jiayu Shang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiayu Shang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Shang, Jiayu, et al.. (2025). From genomic signals to prediction tools: a critical feature analysis and rigorous benchmark for phage–host prediction. Briefings in Bioinformatics. 26(6).

2.

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

3.

Shang, Jiayu, et al.. (2024). GOPhage: protein function annotation for bacteriophages by integrating the genomic context. Briefings in Bioinformatics. 26(1). 2 indexed citations

4.

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). ViraLM: empowering virus discovery through the genome foundation model. Bioinformatics. 40(12). 5 indexed citations

6.

Shang, Jiayu, et al.. (2024). PlasGO: enhancing GO-based function prediction for plasmid-encoded proteins based on genetic structure. GigaScience. 13. 1 indexed citations

7.

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

8.

Shang, Jiayu, Zicheng Wang, Binhong Qu, Lina Zhao, & Yuxin Li. (2023). VIS/NIR double-domain luminescence sensing with anti-interference performance by a lanthanide-organic framework nanosheet loaded with atomically dispersed Cu sites. Sensors and Actuators B Chemical. 403. 135197–135197. 6 indexed citations

9.

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

10.

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

11.

Shang, Jiayu, et al.. (2023). GDmicro: classifying host disease status with GCN and deep adaptation network based on the human gut microbiome data. Bioinformatics. 39(12). 4 indexed citations

12.

Shang, Jiayu, et al.. (2023). HOTSPOT: hierarchical host prediction for assembled plasmid contigs with transformer. Bioinformatics. 39(5). 12 indexed citations

13.

Wang, Donglin, Jiayu Shang, Hui Lin, et al.. (2023). Identifying ARG-carrying bacteriophages in a lake replenished by reclaimed water using deep learning techniques. Water Research. 248. 120859–120859. 14 indexed citations

14.

Wang, Shike, et al.. (2023). Accurate Small-Signal Terminal Characteristic Model and SISO Stability Analysis Approach for Parallel Grid-Forming Inverters in Islanded Microgrids. IEEE Transactions on Power Electronics. 38(5). 6597–6612. 21 indexed citations

15.

Jiang, Jing‐Zhe, Jiayu Shang, Liling Yang, et al.. (2022). Virus classification for viral genomic fragments using PhaGCN2. Briefings in Bioinformatics. 24(1). 66 indexed citations

16.

Shang, Jiayu, et al.. (2022). Phage family classification under Caudoviricetes: A review of current tools using the latest ICTV classification framework. Frontiers in Microbiology. 13. 1032186–1032186. 66 indexed citations

17.

Shang, Jiayu & Yanni Sun. (2021). Predicting the hosts of prokaryotic viruses using GCN-based semi-supervised learning. BMC Biology. 19(1). 250–250. 39 indexed citations

18.

Shang, Jiayu, Jing‐Zhe Jiang, & Yanni Sun. (2021). Bacteriophage classification for assembled contigs using graph convolutional network. Bioinformatics. 37(Supplement_1). i25–i33. 78 indexed citations

19.

Shang, Jiayu & Yanni Sun. (2020). CHEER: HierarCHical taxonomic classification for viral mEtagEnomic data via deep leaRning. Methods. 189. 95–103. 35 indexed citations

20.

Chen, Jiao, Jiayu Shang, Jianrong Wang, & Yanni Sun. (2019). A binning tool to reconstruct viral haplotypes from assembled contigs. BMC Bioinformatics. 20(1). 544–544. 1 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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