Yibo Yang

42 total papers · 1.7k total citations
23 papers, 1.1k 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 1.1k 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 Electromagnetic Simulation and Numerical Methods (5 papers), Model Reduction and Neural Networks (5 papers) and Gaussian Processes and Bayesian Inference (4 papers). Yibo Yang is often cited by papers focused on Electromagnetic Simulation and Numerical Methods (5 papers), Model Reduction and Neural Networks (5 papers) and Gaussian Processes and Bayesian Inference (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, Ellen Kuhl, Francisco Sahli Costabal, Daniel E. Hurtado, 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 cardi... 2019 2026 2021 2023 2019 2019 2020 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yibo Yang 634 278 214 145 141 23 1.1k
Yinhao Zhu 580 0.9× 297 1.1× 199 0.9× 109 0.8× 210 1.5× 16 1.4k
Matthew J. Zahr 764 1.2× 572 2.1× 63 0.3× 132 0.9× 342 2.4× 45 1.1k
Vincenzo Schiano Di Cola 579 0.9× 219 0.8× 316 1.5× 141 1.0× 74 0.5× 20 1.5k
Qizhi He 375 0.6× 186 0.7× 73 0.3× 66 0.5× 92 0.7× 39 991
Federico Negri 761 1.2× 499 1.8× 35 0.2× 95 0.7× 320 2.3× 11 982
Bethany Lusch 798 1.3× 479 1.7× 271 1.3× 165 1.1× 160 1.1× 25 1.3k
Chris Richardson 150 0.2× 393 1.4× 61 0.3× 72 0.5× 83 0.6× 17 1.3k
Xiaowei Jin 730 1.2× 664 2.4× 109 0.5× 343 2.4× 68 0.5× 20 1.2k
Akil Narayan 297 0.5× 227 0.8× 88 0.4× 65 0.4× 560 4.0× 88 1.1k
Haizhao Yang 225 0.4× 135 0.5× 206 1.0× 43 0.3× 50 0.4× 69 1.1k

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

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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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