Yahui Long
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics
- Bioinformatics and Genomic Networks
- Gut microbiota and health
- Biomedical Text Mining and Ontologies
- Circular RNAs in diseases
Papers in
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- Computational Drug Discovery Methods 14
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- Single-cell and spatial transcriptomics 9
- Bioinformatics and Genomic Networks 8
- Machine Learning in Bioinformatics 3
- RNA and protein synthesis mechanisms 1
- Co-authors
- Jiawei Luo (13 shared papers)Min Wu (11 shared papers)Chee Keong Kwoh (10 shared papers)Xiaoli Li (7 shared papers)Raman Sethi (4 shared papers)Kok Siong Ang (4 shared papers)Hang Xu (3 shared papers)Ao Chen (3 shared papers)
- Journals
- Bioinformatics (5 papers)Briefings in Bioinformatics (4 papers)BMC Bioinformatics (3 papers)Nature Communications (3 papers)Methods (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Yahui Long
31 papers receiving 1.4k citations
Yahui Long's Hit Papers
Peers
Comparison fields: 5 of 68
- Computational Theory and Mathematics 326
- Molecular Biology 1.1k
- Cancer Research 73
- Health Informatics 12
- Artificial Intelligence 101
Countries citing papers authored by Yahui Long
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
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.
All Works
Showing the 20 most-cited of 33 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 Hit paper breakdown → | 2023 | 352 |
| 2 | Unsupervised spatially embedded deep representation of spatial transcriptomics Hit paper breakdown → | 2024 | 185 |
| 3 | 2020 | 140 | |
| 4 | 2018 | 123 | |
| 5 | Deciphering spatial domains from spatial multi-omics with SpatialGlue Hit paper breakdown → | 2024 | 111 |
| 6 | 2020 | 75 | |
| 7 | 2020 | 74 | |
| 8 | 2022 | 65 | |
| 9 | 2020 | 41 | |
| 10 | 2019 | 40 | |
| 11 | 2023 | 39 | |
| 12 | 2021 | 36 | |
| 13 | 2020 | 27 | |
| 14 | 2020 | 25 | |
| 15 | 2023 | 24 | |
| 16 | 2021 | 18 | |
| 17 | 2024 | 16 | |
| 18 | 2023 | 13 | |
| 19 | 2024 | 12 | |
| 20 | 2016 | 7 |
About Yahui Long
Yahui Long is a scholar working on Computational Theory and Mathematics, Molecular Biology, Media Technology, Cancer Research and Artificial Intelligence, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Single-cell and spatial transcriptomics (9 papers), Bioinformatics and Genomic Networks (8 papers), Machine Learning in Bioinformatics (3 papers), Advanced Image Fusion Techniques (2 papers), Cancer-related molecular mechanisms research (2 papers), RNA and protein synthesis mechanisms (1 paper) and Advanced Graph Neural Networks (1 paper). The work is most often cited by research in Computational Theory and Mathematics (326 citations), Molecular Biology (1.1k citations), Cancer Research (73 citations), Health Informatics (12 citations) and Artificial Intelligence (101 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, Raman Sethi, Kok Siong Ang, Hang Xu, Ao Chen, Jinmiao Chen and Yu Zhang. Their work appears in journals such as Bioinformatics, Briefings in Bioinformatics, BMC Bioinformatics, Nature Communications 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.