Yahui Long

2.0k total citations · 3 hit papers
31 papers, 1.1k citations indexed

About

Yahui Long is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Yahui Long has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 12 papers in Computational Theory and Mathematics and 4 papers in Cancer Research. Recurrent topics in Yahui Long's work include Computational Drug Discovery Methods (12 papers), Machine Learning in Bioinformatics (11 papers) and Bioinformatics and Genomic Networks (11 papers). Yahui Long is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Machine Learning in Bioinformatics (11 papers) and Bioinformatics and Genomic Networks (11 papers). Yahui Long collaborates with scholars based in China, Singapore and United States. Yahui Long's co-authors include Jiawei Luo, Min Wu, Chee Keong Kwoh, Xiaoli Li, Yu Zhang, Kok Siong Ang, Raman Sethi, Ao Chen, Hang Xu and Jinmiao Chen and has published in prestigious journals such as Nature Communications, Bioinformatics and Nature Methods.

In The Last Decade

Yahui Long

27 papers receiving 1.1k citations

Hit Papers

Spatially informed clustering, integration, and deconvolu... 2023 2026 2024 2025 2023 2024 2024 50 100 150 200
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.

  1. Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST
    2023 230 citations Yahui Long, Kok Siong Ang et al. Nature Communications profile →
  2. Unsupervised spatially embedded deep representation of spatial transcriptomics
    2024 119 citations Hang Xu, Huazhu Fu et al. Genome Medicine profile →
  3. Deciphering spatial domains from spatial multi-omics with SpatialGlue
    2024 58 citations Yahui Long, Kok Siong Ang et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yahui Long China 16 953 222 151 96 62 31 1.1k
Wang‐Ren Qiu China 22 2.7k 2.9× 309 1.4× 170 1.1× 80 0.8× 12 0.2× 68 2.9k
Junlin Xu China 17 516 0.5× 187 0.8× 214 1.4× 77 0.8× 34 0.5× 53 743
Ehsaneddin Asgari United States 10 715 0.8× 164 0.7× 28 0.2× 105 1.1× 17 0.3× 25 917
Wei‐Zhong Lin China 20 2.1k 2.3× 368 1.7× 32 0.2× 85 0.9× 11 0.2× 29 2.3k
Yajie Meng China 14 524 0.5× 372 1.7× 124 0.8× 85 0.9× 19 0.3× 36 717
Cangzhi Jia China 24 1.6k 1.6× 98 0.4× 197 1.3× 143 1.5× 5 0.1× 72 1.9k
Shuting Jin China 14 507 0.5× 357 1.6× 69 0.5× 88 0.9× 18 0.3× 31 739
Xiangzheng Fu China 21 1.1k 1.1× 325 1.5× 323 2.1× 124 1.3× 18 0.3× 84 1.3k
Chun-Chun Wang China 21 953 1.0× 341 1.5× 569 3.8× 38 0.4× 11 0.2× 30 1.1k

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-authorship network of co-authors of Yahui Long

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

All Works

20 of 20 papers shown
1.
Wang, Daoyuan, et al.. (2025). stGNN: Spatially Informed Cell-Type Deconvolution Based on Deep Graph Learning and Statistical Modeling. Interdisciplinary Sciences Computational Life Sciences. 1 indexed citations
2.
3.
Xiang, Ju, et al.. (2025). SAGAN: A Subgraph-Aware Graph Attention Network for Drug Repositioning. Tsinghua Science & Technology. 1 indexed citations
4.
Long, Yahui, et al.. (2024). Benchmarking machine learning methods for synthetic lethality prediction in cancer. Nature Communications. 15(1). 9058–9058. 12 indexed citations
5.
Xu, Hang, Huazhu Fu, Yahui Long, et al.. (2024). Unsupervised spatially embedded deep representation of spatial transcriptomics. Genome Medicine. 16(1). 12–12. 119 indexed citations breakdown →
6.
Sethi, Raman, Kok Siong Ang, Mengwei Li, et al.. (2024). ezSingleCell: an integrated one-stop single-cell and spatial omics analysis platform for bench scientists. Nature Communications. 15(1). 5600–5600. 8 indexed citations
7.
Long, Yahui, Kok Siong Ang, Raman Sethi, et al.. (2024). Deciphering spatial domains from spatial multi-omics with SpatialGlue. Nature Methods. 21(9). 1658–1667. 58 indexed citations breakdown →
8.
9.
Long, Yahui, et al.. (2023). CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learning. Bioinformatics. 39(8). 7 indexed citations
10.
Long, Yahui, Kok Siong Ang, Mengwei Li, et al.. (2023). Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST. Nature Communications. 14(1). 1155–1155. 230 indexed citations breakdown →
11.
Long, Yahui, et al.. (2023). Identifying spatial domains of spatially resolved transcriptomics via multi-view graph convolutional networks. Briefings in Bioinformatics. 24(5). 20 indexed citations
12.
Long, Yahui, Min Wu, Yong Liu, et al.. (2022). Pre-training graph neural networks for link prediction in biomedical networks. Bioinformatics. 38(8). 2254–2262. 50 indexed citations
13.
Long, Yahui, Min Wu, Yong Liu, et al.. (2021). Graph contextualized attention network for predicting synthetic lethality in human cancers. Bioinformatics. 37(16). 2432–2440. 31 indexed citations
14.
Long, Yahui, Yu Zhang, Min Wu, et al.. (2021). Heterogeneous graph attention networks for drug virus association prediction. Methods. 198. 11–18. 15 indexed citations
15.
Zhang, Yu, Yahui Long, & Chee Keong Kwoh. (2021). Class similarity network for coding and long non-coding RNA classification. BMC Bioinformatics. 22(1). 609–609. 3 indexed citations
16.
Zhang, Yu, Yahui Long, & Chee Keong Kwoh. (2020). Deep learning based DNA:RNA triplex forming potential prediction. BMC Bioinformatics. 21(1). 522–522. 20 indexed citations
17.
Zhang, Yu, Yahui Long, Rui Yin, & Chee Keong Kwoh. (2020). DL-CRISPR: A Deep Learning Method for Off-Target Activity Prediction in CRISPR/Cas9 With Data Augmentation. IEEE Access. 8. 76610–76617. 24 indexed citations
18.
Long, Yahui & Jiawei Luo. (2019). WMGHMDA: a novel weighted meta-graph-based model for predicting human microbe-disease association on heterogeneous information network. BMC Bioinformatics. 20(1). 541–541. 37 indexed citations
19.
Luo, Jiawei & Yahui Long. (2018). NTSHMDA: Prediction of Human Microbe-Disease Association Based on Random Walk by Integrating Network Topological Similarity. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17(4). 1341–1351. 113 indexed citations
20.
Liu, Caiping, Yahui Long, & Jianxu Mao. (2016). Energy-efficient multi-focus image fusion based on neighbor distance and morphology. Optik. 127(23). 11354–11363. 7 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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