Yahui Long

2.2k citations

32 papers · 1.2k · 3 hit papers · h-index 16

Impact in

Molecular Biology top 10%
- Single-cell and spatial transcriptomics
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Machine Learning in Bioinformatics
- Gut microbiota and health
Biophysics top 5%
- Cell Image Analysis Techniques

Papers in

Molecular Biology 21
- Single-cell and spatial transcriptomics 8
- Bioinformatics and Genomic Networks 7
- Machine Learning in Bioinformatics 7
- Gene expression and cancer classification 3
- Gut microbiota and health 2
Computational Theory and Mathematics 9
- Computational Drug Discovery Methods 9

Co-authors: Jiawei Luo (13 shared papers)Min Wu (10 shared papers)Chee Keong Kwoh (9 shared papers)Xiaoli Li (7 shared papers)Yu Zhang (5 shared papers)Kok Siong Ang (4 shared papers)Raman Sethi (4 shared papers)Hang Xu (3 shared papers)
Journals: Bioinformatics (5 papers)Briefings in Bioinformatics (4 papers)Nature Communications (3 papers)BMC Bioinformatics (3 papers)Methods (2 papers)
Partner nations: China Singapore United States

In The Last Decade

Yahui Long

27 papers receiving 1.2k citations

Yahui Long's Hit Papers

align trajectories log scale

Deciphering spatial domains from spatial multi-omics with SpatialGlue 2024 · 79 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2024 Nature Methods
2024 Genome Medicine
2023 Nature Communications

Peers

Countries citing papers authored by Yahui Long

Since Specialization

Citations

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

Fields of papers citing papers by Yahui Long

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yahui Long, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yahui Long Line = papers co-authored together Yahui Long links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST Nature Communications ·Yahui Long, Kok Siong Ang, Mengwei Li, Kian Long Kelvin Chong, Raman Sethi, Chengwei Zhong, Hang Xu, Zhiwei Ong, Karishma Sachaphibulkij, Ao Chen, Li Zeng, Huazhu Fu, Min Wu, Lina H. K. Lim, Longqi Liu, Jinmiao Chen Hit paper breakdown →	2023	278
2	Unsupervised spatially embedded deep representation of spatial transcriptomics Genome Medicine ·Hang Xu, Huazhu Fu, Yahui Long, Kok Siong Ang, Raman Sethi, Kelvin Kian Long Chong, Mengwei Li, Rom Uddamvathanak, Hong Kai Lee, Jingjing Ling, Ao Chen, Ling Shao, Longqi Liu, (unknown) Hit paper breakdown →	2024	147
3	Predicting human microbe–drug associations via graph convolutional network with conditional random field Bioinformatics ·Yahui Long, Min Wu, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li	2020	123
4	NTSHMDA: Prediction of Human Microbe-Disease Association Based on Random Walk by Integrating Network Topological Similarity IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Jiawei Luo, Yahui Long	2018	113
5	Deciphering spatial domains from spatial multi-omics with SpatialGlue Nature Methods ·Yahui Long, Kok Siong Ang, Raman Sethi, Sha Liao, Yang Heng, Lynn van Olst, S. Z. Ye, Chengwei Zhong, Hang Xu, Di Zhang, Immanuel Kwok, Nazihah Husna, Min Jian, Lai Guan Ng, Ao Chen, Nicholas R. J. Gascoigne, David Gate, Rong Fan, Xun Xu, Jinmiao Chen Hit paper breakdown →	2024	79
6	Predicting human microbe–disease associations via graph attention networks with inductive matrix completion Briefings in Bioinformatics ·Yahui Long, Jiawei Luo, Yu Zhang, Yan Xia	2020	73
7	Ensembling graph attention networks for human microbe–drug association prediction Bioinformatics ·Yahui Long, Min Wu, Yong Liu, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li	2020	70
8	Pre-training graph neural networks for link prediction in biomedical networks Bioinformatics ·Yahui Long, Min Wu, Yong Liu, Yuan Fang, Chee Keong Kwoh, Jinmiao Chen, Jiawei Luo, Xiaoli Li	2022	57
9	WMGHMDA: a novel weighted meta-graph-based model for predicting human microbe-disease association on heterogeneous information network BMC Bioinformatics ·Yahui Long, Jiawei Luo	2019	38
10	Association Mining to Identify Microbe Drug Interactions Based on Heterogeneous Network Embedding Representation IEEE Journal of Biomedical and Health Informatics ·Yahui Long, Jiawei Luo	2020	37
11	Graph contextualized attention network for predicting synthetic lethality in human cancers Bioinformatics ·Yahui Long, Min Wu, Yong Liu, Jie Zheng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li	2021	32
12	Spatial-MGCN: a novel multi-view graph convolutional network for identifying spatial domains with attention mechanism Briefings in Bioinformatics ·Bo Wang, Jiawei Luo, Ying Liu, Wanwan Shi, Zehao Xiong, Cong Shen, Yahui Long	2023	30
13	DL-CRISPR: A Deep Learning Method for Off-Target Activity Prediction in CRISPR/Cas9 With Data Augmentation IEEE Access ·Yu Zhang, Yahui Long, Rui Yin, Chee Keong Kwoh	2020	26
14	Identifying spatial domains of spatially resolved transcriptomics via multi-view graph convolutional networks Briefings in Bioinformatics ·Xuejing Shi, Juntong Zhu, Yahui Long, Cheng Liang	2023	21
15	Deep learning based DNA:RNA triplex forming potential prediction BMC Bioinformatics ·Yu Zhang, Yahui Long, Chee Keong Kwoh	2020	20
16	Heterogeneous graph attention networks for drug virus association prediction Methods ·Yahui Long, Yu Zhang, Min Wu, Shaoliang Peng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li	2021	16
17	Benchmarking machine learning methods for synthetic lethality prediction in cancer Nature Communications ·Yimiao Feng, Yahui Long, He Wang, Yang Ouyang, Quan Li, Min Wu, Jie Zheng	2024	12
18	CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learning Bioinformatics ·Bing-Xue Du, Yahui Long, Xiaoli Li, Min Wu, Jian‐Yu Shi	2023	10
19	ezSingleCell: an integrated one-stop single-cell and spatial omics analysis platform for bench scientists Nature Communications ·Raman Sethi, Kok Siong Ang, Mengwei Li, Yahui Long, Jingjing Ling, Jinmiao Chen	2024	10
20	Energy-efficient multi-focus image fusion based on neighbor distance and morphology Optik ·Caiping Liu, Yahui Long, Jianxu Mao	2016	7

About Yahui Long

Yahui Long is a scholar working on Molecular Biology, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Media Technology and Cancer Research, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Single-cell and spatial transcriptomics (8 papers), Bioinformatics and Genomic Networks (7 papers), Machine Learning in Bioinformatics (7 papers), Gene expression and cancer classification (3 papers), Image Enhancement Techniques (2 papers), Gut microbiota and health (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Molecular Biology (946 citations), Biophysics (68 citations), Computational Theory and Mathematics (190 citations), Cancer Research (147 citations) and Periodontics (23 citations). Yahui Long has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jiawei Luo, Min Wu, Chee Keong Kwoh, Xiaoli Li, Yu Zhang, Kok Siong Ang, Raman Sethi, Hang Xu, Ao Chen and Mengwei Li. Their work appears in journals such as Bioinformatics, Briefings in Bioinformatics, Nature Communications, BMC Bioinformatics and Methods.

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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Yahui Long's Hit Papers

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All Works

About Yahui Long

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