Yibo Yang

1.8k total citations · 3 hit papers
23 papers, 1.2k citations indexed

About

Yibo Yang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Yibo Yang has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 8 papers in Artificial Intelligence and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Yibo Yang's work include Model Reduction and Neural Networks (5 papers), Electromagnetic Simulation and Numerical Methods (5 papers) and Electromagnetic Scattering and Analysis (4 papers). Yibo Yang is often cited by papers focused on Model Reduction and Neural Networks (5 papers), Electromagnetic Simulation and Numerical Methods (5 papers) and Electromagnetic Scattering and Analysis (4 papers). Yibo Yang collaborates with scholars based in United States, China and France. Yibo Yang's co-authors include Paris Perdikaris, John A. Detre, Eileen Hwuang, Walter R. Witschey, Georgios Kissas, Francisco Sahli Costabal, Daniel E. Hurtado, Ellen Kuhl, Shaoqiang Tang and Zhouchen Lin and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Mathematics of Computation.

In The Last Decade

Yibo Yang

22 papers receiving 1.1k citations

Hit Papers

Machine learning in cardiovascular flows modeling: Predic... 2019 2026 2021 2023 2019 2019 2020 100 200 300
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.

  1. Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks
    2019 394 citations Georgios Kissas, Yibo Yang et al. Computer Methods in Applied Mechanics and Engineering profile →
  2. Adversarial uncertainty quantification in physics-informed neural networks
    2019 277 citations Yibo Yang, Paris Perdikaris Journal of Computational Physics profile →
  3. Physics-Informed Neural Networks for Cardiac Activation Mapping
    2020 263 citations Francisco Sahli Costabal, Yibo Yang et al. Frontiers in Physics profile →

Peers

Yibo Yang
Minglang Yin United States
Han Gao United States
Yinhao Zhu United States
Hanwen Wang China
Matthias Heinkenschloss United States
Matthew J. Zahr United States
Zhicheng Wang China
Robert M. Kirby United States
Tan Bui–Thanh United States
Bing Yu China
Minglang Yin United States
Yibo Yang
Citations per year, relative to Yibo Yang Yibo Yang (= 1×) peers Minglang Yin

Countries citing papers authored by Yibo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yibo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yibo Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yibo Yang. A scholar is included among the top collaborators of Yibo Yang 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 Yibo Yang. Yibo Yang 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.
Zhang, Jiangning, Xiangtai Li, Yabiao Wang, et al.. (2024). EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm. International Journal of Computer Vision. 132(9). 3509–3536. 10 indexed citations
2.
3.
Yang, Yibo, et al.. (2022). Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks. Frontiers in Computational Neuroscience. 16. 789253–789253. 4 indexed citations
4.
Yang, Yibo, Antoine Blanchard, Themistoklis P. Sapsis, & Paris Perdikaris. (2022). Output-weighted sampling for multi-armed bandits with extreme payoffs. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 478(2260). 7 indexed citations
5.
Yang, Yibo & Stephan Mandt. (2021). Lower Bounding Rate-Distortion From Samples. International Conference on Learning Representations. 1 indexed citations
6.
Shen, Tiancheng, et al.. (2021). Recurrent learning with clique structures for prostate sparse‐view CT artifacts reduction. IET Image Processing. 15(3). 648–655. 2 indexed citations
7.
Zhang, Jiwei, et al.. (2021). Accurate artificial boundary conditions for semi-discretized one-dimensional peridynamics. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 477(2250). 7 indexed citations
8.
Costabal, Francisco Sahli, Yibo Yang, Paris Perdikaris, Daniel E. Hurtado, & Ellen Kuhl. (2020). Physics-Informed Neural Networks for Cardiac Activation Mapping. Frontiers in Physics. 8. 263 indexed citations breakdown →
9.
Yang, Yibo, et al.. (2020). Bayesian differential programming for robust systems identification under uncertainty. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 476(2243). 20200290–20200290. 20 indexed citations
10.
Yang, Yibo, et al.. (2020). Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 6648–6655. 7 indexed citations
11.
Kissas, Georgios, Yibo Yang, Eileen Hwuang, et al.. (2019). Machine learning in cardiovascular flows modeling: Predicting pulse wave propagation from non-invasive clinical measurements using physics-informed deep learning. arXiv (Cornell University). 3 indexed citations
12.
Yang, Bin, Xiaosong Ma, Tianyu Zhang, et al.. (2019). End-to-end I/O Monitoring on a Leading Supercomputer. Networked Systems Design and Implementation. 379–394. 21 indexed citations
13.
Wang, Yongzhi, et al.. (2019). CFHider: Control Flow Obfuscation with Intel SGX. 541–549. 8 indexed citations
14.
Yang, Yibo & Paris Perdikaris. (2019). Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems. Computational Mechanics. 64(2). 417–434. 45 indexed citations
15.
Yang, Yibo & Paris Perdikaris. (2019). Adversarial uncertainty quantification in physics-informed neural networks. Journal of Computational Physics. 394. 136–152. 277 indexed citations breakdown →
16.
Kissas, Georgios, Yibo Yang, Eileen Hwuang, et al.. (2019). Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks. Computer Methods in Applied Mechanics and Engineering. 358. 112623–112623. 394 indexed citations breakdown →
17.
Zhong, Zhisheng, et al.. (2018). Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution. arXiv (Cornell University). 31. 165–175. 22 indexed citations
18.
Yang, Yibo, et al.. (2017). Eliminating corner effects in square lattice simulation. Computational Mechanics. 62(1). 111–122. 8 indexed citations
19.
Tang, Shaoqiang, Yanping Lian, Stephen Lin, et al.. (2016). Differential operator multiplication method for fractional differential equations. Computational Mechanics. 58(5). 879–888. 15 indexed citations
20.
Yang, Yibo, et al.. (2016). Exact Boundary Condition for Semi-discretized Schrödinger Equation and Heat Equation in a Rectangular Domain. Journal of Scientific Computing. 72(1). 1–13. 17 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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