Sheng Yu

2.8k total citations
82 papers, 1.6k citations indexed

About

Sheng Yu is a scholar working on Artificial Intelligence, Molecular Biology and Neurology. According to data from OpenAlex, Sheng Yu has authored 82 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 21 papers in Molecular Biology and 12 papers in Neurology. Recurrent topics in Sheng Yu's work include Biomedical Text Mining and Ontologies (21 papers), Topic Modeling (16 papers) and Intracranial Aneurysms: Treatment and Complications (12 papers). Sheng Yu is often cited by papers focused on Biomedical Text Mining and Ontologies (21 papers), Topic Modeling (16 papers) and Intracranial Aneurysms: Treatment and Complications (12 papers). Sheng Yu collaborates with scholars based in China, United States and Spain. Sheng Yu's co-authors include Tianxi Cai, Vivian S. Gainer, Shawn N. Murphy, Víctor M. Castro, Katherine P. Liao, Guergana Savova, Sean Finan, Tianrun Cai, Dmitriy Dligach and Rose Du and has published in prestigious journals such as Nature Communications, Journal of the American College of Cardiology and Neurology.

In The Last Decade

Sheng Yu

73 papers receiving 1.6k citations

Peers

Sheng Yu

NEURO

PRM

HIM

Vijaya B. Kolachalama United States

Narges Razavian United States

Julián Acosta United States

Marcus A. Badgeley United States

William Speier United States

Harman S. Suri United States

Narendra N. Khanna India

Brett K. Beaulieu‐Jones United States

Jianning Li China

Zhenxing Xu United States

Vijaya B. Kolachalama United States

Sheng Yu

453 ×0.7

262 ×0.6

55 ×0.2

NEURO

353 ×1.6

PRM

91 ×0.6

HIM

Citations per year, relative to Sheng Yu Sheng Yu (= 1×) peers Vijaya B. Kolachalama

Countries citing papers authored by Sheng Yu

Since Specialization

Citations

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

Fields of papers citing papers by Sheng Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Yu

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

All Works

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20 of 20 papers shown

Huang, He, et al.. (2025). Building-Guided Pseudo-Label Learning for Cross-Modal Building Damage Mapping. 228–232.

Gao, Shan, Kaixian Yu, Sheng Yu, et al.. (2025). Large language model powered knowledge graph construction for mental health exploration. Nature Communications. 16(1). 7526–7526. 2 indexed citations

Wang, Jiangbo, et al.. (2024). Effects of insert design and optimization on the performance of parabolic trough receivers with inserted absorbers. Solar Energy. 284. 113061–113061. 2 indexed citations

Wang, Jiangbo, et al.. (2024). Effects of the position and perforation parameters of the delta winglet vortex generators on flow and heat transfer in minichannels. International Journal of Thermal Sciences. 198. 108878–108878. 24 indexed citations

Wang, Jiangbo, et al.. (2024). Experimental and numerical investigations of tube inserted with novel perforated rectangular V-shape vortex generators. Applied Thermal Engineering. 249. 123451–123451. 10 indexed citations

Zuo, Xin, Sheng Yu, Jifeng Shen, & Yongwei Shan. (2024). Multilabel Sewer Pipe Defect Recognition with Mask Attention Feature Enhancement and Label Correlation Learning. Journal of Computing in Civil Engineering. 39(1). 2 indexed citations

Yu, Sheng, Wei Song, Xunchao Hu, & Heng Yin. (2024). On the Correctness of Metadata-Based SBOM Generation: A Differential Analysis Approach. eScholarship (California Digital Library). 29–36. 4 indexed citations

Yu, Sheng, et al.. (2024). CoRTEx: contrastive learning for representing terms via explanations with applications on constructing biomedical knowledge graphs. Journal of the American Medical Informatics Association. 31(9). 1912–1920. 2 indexed citations

Yu, Sheng, Chaoyue Chen, Tao Hu, et al.. (2023). Effect of static magnetic field on the molten pool dynamics during laser powder bed fusion of Inconel 718 superalloy. International Journal of Thermal Sciences. 197. 108851–108851. 11 indexed citations

10.

Lu, Keming, Si Yu, Yucong Lin, et al.. (2023). Building a trustworthy AI differential diagnosis application for Crohn’s disease and intestinal tuberculosis. BMC Medical Informatics and Decision Making. 23(1). 160–160. 11 indexed citations

11.

Tian, Yichen, et al.. (2022). A machine learning method for improving liver cancer staging. Journal of Biomedical Informatics. 137. 104266–104266. 4 indexed citations

12.

Yuan, Zheng, et al.. (2022). CODER: Knowledge-infused cross-lingual medical term embedding for term normalization. Journal of Biomedical Informatics. 126. 103983–103983. 54 indexed citations

13.

Yuan, Hongyi, Zheng Yuan, Ruyi Gan, et al.. (2022). BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model. 97–109. 62 indexed citations

14.

Yuan, Zheng, et al.. (2020). Unsupervised multi-granular Chinese word segmentation and term discovery via graph partition. Journal of Biomedical Informatics. 110. 103542–103542. 17 indexed citations

15.

McCoy, Thomas H., Víctor M. Castro, Kamber L. Hart, et al.. (2018). Genome-wide Association Study of Dimensional Psychopathology Using Electronic Health Records. Biological Psychiatry. 83(12). 1005–1011. 20 indexed citations

16.

Can, Anil, Víctor M. Castro, Dmitriy Dligach, et al.. (2017). Alcohol Consumption and Aneurysmal Subarachnoid Hemorrhage. Translational Stroke Research. 9(1). 13–19. 36 indexed citations

17.

Yong, Florence H., Lü Tian, Sheng Yu, Tianxi Cai, & Lee‐Jen Wei. (2016). Optimal stratification in outcome prediction using baseline information. Biometrika. 103(4). 817–828. 7 indexed citations

18.

Kartoun, Uri, Su–Chun Cheng, Sheng Yu, et al.. (2015). Demonstrating the Advantages of Applying Data Mining Techniques on Time-Dependent Electronic Medical Records.. AMIA. 4 indexed citations

19.

Yu, Sheng. (2013). Research on Micro-blog Information Quality Evaluation Based on Content——With Sina Micro-blog as an Example. Information Sciences. 2 indexed citations

20.

Yu, Sheng, Damon Berry, & Jesús Bisbal. (2011). Clinical coverage of an archetype repository over SNOMED-CT. Journal of Biomedical Informatics. 45(3). 408–418. 9 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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