Yuchang Wu

919 total citations
26 papers, 337 citations indexed

About

Yuchang Wu is a scholar working on Genetics, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Yuchang Wu has authored 26 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 8 papers in Atomic and Molecular Physics, and Optics and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Yuchang Wu's work include Genetic Associations and Epidemiology (14 papers), Photonic and Optical Devices (6 papers) and Semiconductor Quantum Structures and Devices (6 papers). Yuchang Wu is often cited by papers focused on Genetic Associations and Epidemiology (14 papers), Photonic and Optical Devices (6 papers) and Semiconductor Quantum Structures and Devices (6 papers). Yuchang Wu collaborates with scholars based in United States, China and Russia. Yuchang Wu's co-authors include Qiongshi Lu, Xiaoyuan Zhong, Levon V. Asryan, Jason M. Fletcher, James J. Li, R. A. Suris, Donna M. Werling, Zhaolong Yu, Hyunseung Kang and Yiliang Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Applied Physics Letters.

In The Last Decade

Yuchang Wu

24 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuchang Wu United States 9 186 87 50 47 28 26 337
Jeffrey J. Phillips United States 10 42 0.2× 28 0.3× 8 0.2× 45 1.0× 28 1.0× 15 451
Michael Kirschbaum Germany 15 25 0.1× 48 0.6× 50 1.0× 78 1.7× 47 1.7× 43 728
Sarah E. Chang United States 11 34 0.2× 299 3.4× 15 0.3× 12 0.3× 58 2.1× 20 566
Sandra Fox Canada 5 90 0.5× 68 0.8× 36 0.7× 21 0.4× 21 0.8× 5 316
Y. Ehara United States 13 116 0.6× 79 0.9× 34 0.7× 16 0.3× 23 0.8× 18 856
Amy Zhou United States 11 41 0.2× 260 3.0× 14 0.3× 5 0.1× 32 1.1× 28 522
Stacy Hewson Canada 10 261 1.4× 165 1.9× 14 0.3× 9 0.2× 49 1.8× 19 490
T. Takata Japan 11 58 0.3× 113 1.3× 3 0.1× 28 0.6× 104 3.7× 28 359
E. Schmidt Germany 13 108 0.6× 427 4.9× 11 0.2× 30 0.6× 285 10.2× 17 768

Countries citing papers authored by Yuchang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yuchang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuchang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuchang Wu. A scholar is included among the top collaborators of Yuchang 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 Yuchang Wu. Yuchang Wu 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.
Miao, Jiacheng, Jiaxin Hu, Yuchang Wu, et al.. (2025). PIGEON: a statistical framework for estimating gene–environment interaction for polygenic traits. Nature Human Behaviour. 9(8). 1654–1668.
2.
Wu, Yuchang, et al.. (2025). Pareto Set Learning for Multi-Objective Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 39(18). 18789–18797. 1 indexed citations
3.
Wu, Yuchang, et al.. (2024). Pervasive biases in proxy genome-wide association studies based on parental history of Alzheimer’s disease. Nature Genetics. 56(12). 2696–2703. 9 indexed citations
4.
Miao, Jiacheng, et al.. (2024). Optimizing and benchmarking polygenic risk scores with GWAS summary statistics. Genome biology. 25(1). 260–260. 3 indexed citations
5.
Fletcher, Jason M., Yuchang Wu, Tianchang Li, & Qiongshi Lu. (2024). Interpreting polygenic score effects in sibling analysis. PLoS ONE. 19(2). e0282212–e0282212. 7 indexed citations
6.
Wu, Yuchang, et al.. (2024). Margin distribution and structural diversity guided ensemble pruning. Machine Learning. 113(6). 3545–3567. 2 indexed citations
7.
Fletcher, Jason M., et al.. (2023). The production of within-family inequality: Insights and implications of integrating genetic data. PNAS Nexus. 2(4). pgad121–pgad121. 7 indexed citations
8.
Wu, Yuchang, et al.. (2023). Pervasive biases in GWAS using family history of Alzheimer’s disease as proxy phenotypes. Alzheimer s & Dementia. 19(S12). 1 indexed citations
9.
Wu, Yuchang, et al.. (2023). Decomposing heritability and genetic covariance by direct and indirect effect paths. PLoS Genetics. 19(1). e1010620–e1010620. 1 indexed citations
10.
Wu, Yuchang, et al.. (2022). GWAS on birth year infant mortality rates provides evidence of recent natural selection. Proceedings of the National Academy of Sciences. 119(12). e2117312119–e2117312119. 7 indexed citations
11.
Miao, Jiacheng, et al.. (2022). A quantile integral linear model to quantify genetic effects on phenotypic variability. Proceedings of the National Academy of Sciences. 119(39). e2212959119–e2212959119. 13 indexed citations
12.
Wu, Yuchang, Xiaoyuan Zhong, Jiawen Chen, et al.. (2021). Estimating genetic nurture with summary statistics of multigenerational genome-wide association studies. Proceedings of the National Academy of Sciences. 118(25). 32 indexed citations
13.
Wu, Yuchang, Junha Shin, Ye Zheng, et al.. (2021). Transcriptome-wide transmission disequilibrium analysis identifies novel risk genes for autism spectrum disorder. PLoS Genetics. 17(2). e1009309–e1009309. 11 indexed citations
14.
Zhang, Yiliang, Qiongshi Lu, Yixuan Ye, et al.. (2021). SUPERGNOVA: local genetic correlation analysis reveals heterogeneous etiologic sharing of complex traits. Genome biology. 22(1). 262–262. 84 indexed citations
15.
Panyard, Daniel J., Burcu F. Darst, Yuetiva Deming, et al.. (2021). Cerebrospinal fluid metabolomics identifies 19 brain-related phenotype associations. Communications Biology. 4(1). 63–63. 72 indexed citations
16.
Wu, Yuchang, et al.. (2021). PUMAS: fine-tuning polygenic risk scores with GWAS summary statistics. Genome biology. 22(1). 257–257. 29 indexed citations
17.
Wu, Yuchang & Levon V. Asryan. (2016). Theory of photovoltaic characteristics of semiconductor quantum dot solar cells. Journal of Applied Physics. 120(8). 4 indexed citations
18.
Wu, Yuchang & Levon V. Asryan. (2014). Direct and indirect capture of carriers into the lasing ground state and the light-current characteristic of quantum dot lasers. Journal of Applied Physics. 115(10). 7 indexed citations
19.
Lin, Chien‐Chung, et al.. (2013). Evaluation of Tunable Microwave Signals Generated by Monolithic Two-section Distributed Feedback Lasers. 23. JTh2A.104–JTh2A.104. 1 indexed citations
20.
Wu, Yuchang, et al.. (2012). Investigation of Electrical Properties in Monocast Si Wafer. EU PVSEC. 763–765. 1 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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