Hui Chong

488 total citations · 1 hit paper
14 papers, 253 citations indexed

About

Hui Chong is a scholar working on Molecular Biology, Infectious Diseases and Ecology. According to data from OpenAlex, Hui Chong has authored 14 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Ecology. Recurrent topics in Hui Chong's work include Gut microbiota and health (6 papers), Genomics and Phylogenetic Studies (4 papers) and Microbial Community Ecology and Physiology (3 papers). Hui Chong is often cited by papers focused on Gut microbiota and health (6 papers), Genomics and Phylogenetic Studies (4 papers) and Microbial Community Ecology and Physiology (3 papers). Hui Chong collaborates with scholars based in China, Australia and United Kingdom. Hui Chong's co-authors include Yuguo Zha, Kang Ning, Luís Pedro Coelho, Yiqian Duan, Chengkai Zhu, Peer Bork, Michael Kuhn, Marcelo D. T. Torres, Jaime Huerta‐Cepas and Anthony Fullam and has published in prestigious journals such as Cell, Bioinformatics and Frontiers in Microbiology.

In The Last Decade

Hui Chong

14 papers receiving 244 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.

Discovery of antimicrobial peptides in the global microbiome with machine learning

2024 157 citations Célio Dias Santos Júnior, Marcelo D. T. Torres et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hui Chong China	6	152	71	34	33	18	14	253
Andrea Bosso Italy	13	290 1.9×	236 3.3×	15 0.4×	39 1.2×	27 1.5×	29	428
Jürgen Felsberg Czechia	12	204 1.3×	39 0.5×	21 0.6×	20 0.6×	5 0.3×	29	322
Sean D. Stowe United States	7	252 1.7×	61 0.9×	21 0.6×	13 0.4×	58 3.2×	9	357
Alena Aliashkevich Sweden	6	184 1.2×	17 0.2×	72 2.1×	30 0.9×	24 1.3×	8	316
Francesca Bernardini United Kingdom	12	201 1.3×	93 1.3×	23 0.7×	17 0.5×	92 5.1×	18	349
Elizabeth Grimsey United Kingdom	7	182 1.2×	100 1.4×	21 0.6×	27 0.8×	124 6.9×	9	306
Natalia Pakharukova Finland	8	204 1.3×	26 0.4×	44 1.3×	27 0.8×	130 7.2×	26	339
Vijayaraghava Seshadri Sundararajan India	7	235 1.5×	82 1.2×	26 0.8×	13 0.4×	3 0.2×	15	298
Anton P. Tyurin Russia	9	83 0.5×	13 0.2×	24 0.7×	14 0.4×	17 0.9×	28	256

Countries citing papers authored by Hui Chong

Since Specialization

Citations

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

Fields of papers citing papers by Hui Chong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Chong

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Chong. A scholar is included among the top collaborators of Hui Chong 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 Hui Chong. Hui Chong 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:

14 of 14 papers shown

Perović, Svetlana Ugarčina, et al.. (2025). argNorm: normalization of antibiotic resistance gene annotations to the Antibiotic Resistance Ontology (ARO). Bioinformatics. 41(5). 4 indexed citations

Macaden, Leah, et al.. (2024). Home-based end-of-life care for people with dementia: A systematic review of quantitative and qualitative evidence. Dementia. 24(4). 794–831. 1 indexed citations

Júnior, Célio Dias Santos, Marcelo D. T. Torres, Yiqian Duan, et al.. (2024). Discovery of antimicrobial peptides in the global microbiome with machine learning. Cell. 187(14). 3761–3778.e16. 157 indexed citations breakdown →

Liu, Yu, et al.. (2024). Few-shot image semantic segmentation based on meta-learning: A review. Journal of Intelligent & Fuzzy Systems. 47(5-6). 351–367. 1 indexed citations

Chong, Hui, et al.. (2023). Tracing human life trajectory using gut microbial communities by context-aware deep learning. Briefings in Bioinformatics. 24(1). 3 indexed citations

Zha, Yuguo, Hui Chong, H. Qiu, et al.. (2022). Ontology-aware deep learning enables ultrafast and interpretable source tracking among sub-million microbial community samples from hundreds of niches. Genome Medicine. 14(1). 43–43. 14 indexed citations

Zha, Yuguo, Hui Chong, Pengshuo Yang, & Kang Ning. (2022). Microbial Dark Matter: From Discovery to Applications. Genomics Proteomics & Bioinformatics. 20(5). 867–881. 32 indexed citations

Kang, Kai, Hui Chong, & Kang Ning. (2022). Meta-Prism 2.0: Enabling algorithm and web server for ultra-fast, memory-efficient, and accurate analysis among millions of microbial community samples. GigaScience. 11. 1 indexed citations

Chong, Hui, Yuguo Zha, Mingyue Cheng, et al.. (2022). EXPERT: transfer learning-enabled context-aware microbial community classification. Briefings in Bioinformatics. 23(6). 10 indexed citations

10.

Zha, Yuguo, Hui Chong, & Kang Ning. (2021). Microbiome Sample Comparison and Search: From Pair-Wise Calculations to Model-Based Matching. Frontiers in Microbiology. 12. 642439–642439. 4 indexed citations

11.

Bai, Tao, Xue Zhu, Xiang Zhou, et al.. (2021). Reliable and Interpretable Mortality Prediction With Strong Foresight in COVID-19 Patients: An International Study From China and Germany. Frontiers in Artificial Intelligence. 4. 672050–672050. 4 indexed citations

12.

Han, Maozhen, Yuguo Zha, Hui Chong, Chaofang Zhong, & Kang Ning. (2020). Utilizing microbiome approaches to assist source tracking, treatment and prevention of COVID-19: Review and assessment. Computational and Structural Biotechnology Journal. 18. 3615–3622. 5 indexed citations

13.

Xu, Dongyang, et al.. (2019). Using Statistical Models and Machine Learning Techniques to Process Big Data from the Forth Road Bridge. Edinburgh Research Explorer (University of Edinburgh). 411–419. 3 indexed citations

14.

Lim, Vuanghao, et al.. (2015). Antimicrobial Evaluation and GC-MS Analysis of Strobilanthes crispus Ethanolic Leaf Extract. European Journal of Medicinal Plants. 10(4). 1–8. 14 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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