Yu‐Ping Wang

11.2k total citations · 3 hit papers
387 papers, 7.4k citations indexed

About

Yu‐Ping Wang is a scholar working on Cognitive Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Yu‐Ping Wang has authored 387 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Cognitive Neuroscience, 81 papers in Molecular Biology and 75 papers in Genetics. Recurrent topics in Yu‐Ping Wang's work include Functional Brain Connectivity Studies (108 papers), Advanced Neuroimaging Techniques and Applications (49 papers) and Gene expression and cancer classification (43 papers). Yu‐Ping Wang is often cited by papers focused on Functional Brain Connectivity Studies (108 papers), Advanced Neuroimaging Techniques and Applications (49 papers) and Gene expression and cancer classification (43 papers). Yu‐Ping Wang collaborates with scholars based in United States, China and Taiwan. Yu‐Ping Wang's co-authors include Vince D. Calhoun, Tony W. Wilson, Julia M. Stephen, Hong‐Wen Deng, Nian‐Shing Chen, Kinshuk Kinshuk, Dongdong Lin, Junbo Duan, Hongbao Cao and Wenxing Hu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Journal of Clinical Investigation.

In The Last Decade

Yu‐Ping Wang

359 papers receiving 7.1k citations

Hit Papers

Mental Health and Psychosocial Problems of ... 2014 2026 2018 2022 2020 2014 2020 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu‐Ping Wang United States 38 1.8k 1.2k 1.1k 906 698 387 7.4k
Sophia Rabe‐Hesketh United Kingdom 61 4.2k 2.4× 418 0.4× 2.6k 2.4× 1.6k 1.7× 645 0.9× 166 16.3k
Haikady N. Nagaraja United States 54 848 0.5× 1.5k 1.3× 872 0.8× 409 0.5× 683 1.0× 246 14.7k
John J. Bartko United States 52 1.7k 0.9× 1.1k 0.9× 2.0k 1.8× 1.1k 1.2× 203 0.3× 138 16.9k
Katherine S. Button United Kingdom 22 2.3k 1.3× 414 0.3× 1.1k 1.0× 430 0.5× 389 0.6× 61 8.3k
Peter E. Morris United States 43 2.0k 1.1× 468 0.4× 1.0k 1.0× 155 0.2× 401 0.6× 215 12.8k
Rand R. Wilcox United States 49 1.7k 1.0× 316 0.3× 766 0.7× 354 0.4× 573 0.8× 362 10.9k
Michael Lee United States 51 3.2k 1.8× 479 0.4× 798 0.7× 170 0.2× 1.8k 2.6× 384 12.1k
Margaret J. Wright Australia 60 4.1k 2.3× 1.4k 1.2× 894 0.8× 2.2k 2.4× 198 0.3× 378 11.6k
Jia Liu China 57 4.4k 2.5× 1.8k 1.5× 617 0.6× 593 0.7× 1.4k 2.0× 737 13.3k
Brian Caffo United States 51 3.6k 2.0× 640 0.5× 258 0.2× 1.6k 1.7× 693 1.0× 228 10.1k

Countries citing papers authored by Yu‐Ping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Ping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu‐Ping Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Ping Wang. A scholar is included among the top collaborators of Yu‐Ping Wang 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 Yu‐Ping Wang. Yu‐Ping Wang 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.
Picci, Giorgia, Nathan M. Petro, Yu‐Ping Wang, et al.. (2025). Anterior pituitary gland volume mediates associations between adrenarche and changes in transdiagnostic symptoms in youth. Developmental Cognitive Neuroscience. 71. 101507–101507.
2.
3.
Wang, Xu, et al.. (2024). Surface topography prediction and reliability analysis of ball end milling. Measurement. 242. 115770–115770. 6 indexed citations
4.
Wang, Yu‐Ping, et al.. (2024). Inverse nodal problems for integro-differential Dirac operators with parameter-nonlocal integral boundary condition by using numerical methods. Journal of Mathematical Analysis and Applications. 545(1). 129094–129094.
5.
Wang, Zhichao, Yuanzhe Chen, Xinsheng Wang, Lei Xie, & Yu‐Ping Wang. (2024). StreamVoice: Streamable Context-Aware Language Modeling for Real-time Zero-Shot Voice Conversion. 7328–7338.
6.
Wang, Wei, Li Xiao, Gang Qu, et al.. (2024). Multiview hyperedge-aware hypergraph embedding learning for multisite, multiatlas fMRI based functional connectivity network analysis. Medical Image Analysis. 94. 103144–103144. 11 indexed citations
7.
Shi, Xuezhong, et al.. (2024). Investigating the shared genetic architecture between breast and ovarian cancers. Genetics and Molecular Biology. 47(2). e20230181–e20230181. 2 indexed citations
8.
Chen, Jiayu, Jessica A. Turner, Julia M. Stephen, et al.. (2023). Epigenetic associations with adolescent grey matter maturation and cognitive development. Frontiers in Genetics. 14. 1222619–1222619. 1 indexed citations
9.
Wang, Yu‐Ping, et al.. (2023). A semiparametric dynamic higher-order spatial autoregressive model. Statistical Papers. 65(2). 1085–1123. 2 indexed citations
10.
Song, Fei, et al.. (2023). Inverse nodal problems for Dirac operators and their numerical approximations. Electronic Journal of Differential Equations. 2023(01-??). 81–81. 2 indexed citations
11.
Picci, Giorgia, Nathan M. Petro, Hallie J. Johnson, et al.. (2023). Dehydroepiandrosterone mediates associations between trauma‐related symptoms and anterior pituitary volume in children and adolescents. Human Brain Mapping. 44(18). 6388–6398. 4 indexed citations
12.
Petro, Nathan M., Giorgia Picci, Christine M. Embury, et al.. (2023). Developmental differences in functional organization of multispectral networks. Cerebral Cortex. 33(14). 9175–9185. 1 indexed citations
13.
Picci, Giorgia, Brittany K. Taylor, Jacob A. Eastman, et al.. (2022). Left amygdala structure mediates longitudinal associations between exposure to threat and long‐term psychiatric symptomatology in youth. Human Brain Mapping. 43(13). 4091–4102. 4 indexed citations
14.
Qu, Gang, Gemeng Zhang, Binish Patel, et al.. (2022). Latent Similarity Identifies Important Functional Connections for Phenotype Prediction. IEEE Transactions on Biomedical Engineering. 70(6). 1979–1989. 5 indexed citations
15.
DeRamus, Thomas P., Ashkan Faghiri, Armin Iraji, et al.. (2021). Modular and state-relevant functional network connectivity in high-frequency eyes open vs eyes closed resting fMRI data. Journal of Neuroscience Methods. 358. 109202–109202. 7 indexed citations
16.
Hu, Wenxing, Xiang‐He Meng, Yuntong Bai, et al.. (2021). Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition. IEEE Transactions on Medical Imaging. 40(5). 1474–1483. 40 indexed citations
17.
Chien, Yu‐Wen, et al.. (2020). Risk of Leukemia after Dengue Virus Infection: A Population-Based Cohort Study. Cancer Epidemiology Biomarkers & Prevention. 29(3). 558–564. 15 indexed citations
18.
Stephen, Julia M., Jacqueline R. Janowich, Michaela R. Frenzel, et al.. (2020). The Developmental Chronnecto-Genomics (Dev-CoG) study: A multimodal study on the developing brain. NeuroImage. 225. 117438–117438. 38 indexed citations
19.
Zhang, Aiying, Jian Fang, Wenxing Hu, Vince D. Calhoun, & Yu‐Ping Wang. (2019). A Latent Gaussian Copula Model for Mixed Data Analysis in Brain Imaging Genetics. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(4). 1350–1360. 4 indexed citations
20.
Heinrichs‐Graham, Elizabeth, Timothy J. McDermott, Mackenzie S. Mills, et al.. (2018). The lifespan trajectory of neural oscillatory activity in the motor system. Developmental Cognitive Neuroscience. 30. 159–168. 85 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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