You Wu

414 total citations · 1 hit paper
16 papers, 256 citations indexed

About

You Wu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Economics and Econometrics. According to data from OpenAlex, You Wu has authored 16 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 3 papers in Economics and Econometrics. Recurrent topics in You Wu's work include Computational Drug Discovery Methods (5 papers), Bioinformatics and Genomic Networks (3 papers) and Climate Change Policy and Economics (3 papers). You Wu is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Bioinformatics and Genomic Networks (3 papers) and Climate Change Policy and Economics (3 papers). You Wu collaborates with scholars based in United States and China. You Wu's co-authors include Lei Xie, Yong-ming Yao, Zhongqiu Lu, Qiao Liu, Di He, Yang Liu, Xiaoke Shen, Yue Qiu, Zhe Chen and Yue Su and has published in prestigious journals such as Journal of Cleaner Production, Biosensors and Bioelectronics and PLoS Computational Biology.

In The Last Decade

You Wu

15 papers receiving 251 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.

AI-driven multi-omics integration for multi-scale predictive modeling of genotype-environment-phenotype relationships

2025 41 citations You Wu, Lei Xie Computational and Structural Biotechnology Journal profile →

Peers

You Wu

MB

CTM

EPIDE

CCICM

CR

Michael Q. Ding United States

Yuxiang Wan China

Dirk Weisensee Switzerland

Aaron Fullerton United States

Anna O. Basile United States

César Pichardo‐Almarza United Kingdom

Marije Niemeijer Netherlands

Fanny Knöspel Germany

Russell Wada United States

Kristin Karlsson Sweden

Michael Q. Ding United States

You Wu

112 ×0.9

MB

53 ×1.0

CTM

47 ×1.8

EPIDE

3 ×0.1

CCICM

39 ×2.1

CR

Citations per year, relative to You Wu You Wu (= 1×) peers Michael Q. Ding

Countries citing papers authored by You Wu

Since Specialization

Citations

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

Fields of papers citing papers by You Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of You Wu

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

16 of 16 papers shown

1.

Wu, You, et al.. (2025). AI-powered programmable virtual humans toward human physiologically-based drug discovery. Drug Discovery Today. 30(11). 104497–104497.

2.

Wu, You & Lei Xie. (2025). AI-driven multi-omics integration for multi-scale predictive modeling of genotype-environment-phenotype relationships. Computational and Structural Biotechnology Journal. 27. 265–277. 41 indexed citations breakdown →

3.

Wu, You, Li Xie, Yang Liu, & Lei Xie. (2024). Semi-supervised meta-learning elucidates understudied molecular interactions. Communications Biology. 7(1). 1104–1104. 7 indexed citations

4.

Wu, You, Qiao Liu, & Lei Xie. (2023). Hierarchical multi-omics data integration and modeling predict cell-specific chemical proteomics and drug responses. Cell Reports Methods. 3(4). 100452–100452. 9 indexed citations

5.

Chen, Zhe, et al.. (2022). The CO2 cost pass-through in nonlinear emission trading schemes. Journal of commodity markets. 30. 100286–100286. 1 indexed citations

6.

Wu, You, Qiao Liu, Yue Qiu, & Lei Xie. (2022). Deep learning prediction of chemical-induced dose-dependent and context-specific multiplex phenotype responses and its application to personalized alzheimer’s disease drug repurposing. PLoS Computational Biology. 18(8). e1010367–e1010367. 14 indexed citations

7.

Bai, Dan, Xi Zhou, Wang Luo, et al.. (2022). Cooperative strand displacement circuit with dual-toehold and bulge-loop structure for single-nucleotide variations discrimination. Biosensors and Bioelectronics. 216. 114677–114677. 9 indexed citations

8.

He, Di, Qiao Liu, You Wu, & Lei Xie. (2022). A context-aware deconfounding autoencoder for robust prediction of personalized clinical drug response from cell-line compound screening. Nature Machine Intelligence. 4(10). 879–892. 45 indexed citations

9.

Duong, Tam, et al.. (2022). A simple strategy for addition of degron tags to endogenous genes harboring prior insertions of fluorescent protein.. PubMed. 2022. 1 indexed citations

10.

Liu, Yang, You Wu, Xiaoke Shen, & Lei Xie. (2021). COVID-19 Multi-Targeted Drug Repurposing Using Few-Shot Learning. Frontiers in Bioinformatics. 1. 693177–693177. 20 indexed citations

11.

Chen, Zhe, et al.. (2020). Does emission discrimination improve environmental effectiveness of emission trading schemes? A duopoly approach. Economic Research-Ekonomska Istraživanja. 34(1). 2210–2224. 3 indexed citations

12.

Chen, Zhe, et al.. (2020). The price discrimination and environmental effectiveness in carbon emission trading schemes: A theoretical approach. Journal of Cleaner Production. 283. 125196–125196. 13 indexed citations

13.

Wu, You, Yong-ming Yao, & Zhongqiu Lu. (2019). Mitochondrial quality control mechanisms as potential therapeutic targets in sepsis-induced multiple organ failure. Journal of Molecular Medicine. 97(4). 451–462. 65 indexed citations

14.

Wu, You, Yong-ming Yao, Ying Lan, et al.. (2019). Mdivi-1 Protects CD4⁺ T Cells against Apoptosis via Balancing Mitochondrial Fusion-Fission and Preventing the Induction of Endoplasmic Reticulum Stress in Sepsis. Mediators of Inflammation. 2019. 1–14. 16 indexed citations

15.

Akleman, Ergün, et al.. (2016). Physical mesh data structures. 1–2. 1 indexed citations

16.

Akleman, Ergün, et al.. (2016). Construction with physical version of quad-edge data structures. Computers & Graphics. 58. 172–183. 11 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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