Liyao Gao

688 total citations
5 papers, 83 citations indexed

About

Liyao Gao is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Liyao Gao has authored 5 papers receiving a total of 83 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Statistical and Nonlinear Physics, 2 papers in Artificial Intelligence and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Liyao Gao's work include Model Reduction and Neural Networks (2 papers), Gaussian Processes and Bayesian Inference (1 paper) and UAV Applications and Optimization (1 paper). Liyao Gao is often cited by papers focused on Model Reduction and Neural Networks (2 papers), Gaussian Processes and Bayesian Inference (1 paper) and UAV Applications and Optimization (1 paper). Liyao Gao collaborates with scholars based in United States and China. Liyao Gao's co-authors include Stefano Carpin, Xinlei Chen, Pei Zhang, Carlos Ruiz, Xinyue Xiong, Aveek Purohit, Dongxia Wu, Matteo Chinazzi, Yi-An Ma and Rose Yu and has published in prestigious journals such as Journal of Computational Physics, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences and ACM Transactions on Sensor Networks.

In The Last Decade

Liyao Gao

5 papers receiving 82 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liyao Gao United States	4	22	22	15	13	13	5	83
Xuan He China	9	21 1.0×	14 0.6×	7 0.5×	63 4.8×	13 1.0×	52	262
Yuting Chen China	8	28 1.3×	7 0.3×	7 0.5×	93 7.2×	12 0.9×	19	120
Shaojie Bai United States	8	64 2.9×	5 0.2×	26 1.7×	56 4.3×	5 0.4×	21	161
Leonard Lausen United States	3	61 2.8×	5 0.2×	7 0.5×	50 3.8×	3 0.2×	5	127
Ye Yu United States	9	44 2.0×	23 1.0×	7 0.5×	93 7.2×	5 0.4×	16	239
Maximilian Igl United Kingdom	6	47 2.1×	7 0.3×	8 0.5×	21 1.6×	3 0.2×	12	85
Julie Dequaire United Kingdom	2	19 0.9×	7 0.3×	11 0.7×	53 4.1×	21 1.6×	2	77
Susama Bagchi Malaysia	8	49 2.2×	5 0.2×	6 0.4×	32 2.5×	15 1.2×	26	125
Tianjun Zhang China	8	44 2.0×	7 0.3×	6 0.4×	79 6.1×	61 4.7×	26	146
Vikas Reddy Australia	9	27 1.2×	4 0.2×	11 0.7×	173 13.3×	18 1.4×	16	222

Countries citing papers authored by Liyao Gao

Since Specialization

Citations

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

Fields of papers citing papers by Liyao Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyao Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Liyao Gao. A scholar is included among the top collaborators of Liyao Gao 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 Liyao Gao. Liyao Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Gao, Liyao & J. Nathan Kutz. (2024). Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 480(2286). 8 indexed citations

2.

Gao, Liyao, et al.. (2022). RotEqNet: Rotation-equivariant network for fluid systems with symmetric high-order tensors. Journal of Computational Physics. 461. 111205–111205. 2 indexed citations

3.

Wu, Dongxia, Liyao Gao, Matteo Chinazzi, et al.. (2021). Quantifying Uncertainty in Deep Spatiotemporal Forecasting. 1841–1851. 35 indexed citations

4.

Chen, Xinlei, Carlos Ruiz, Liyao Gao, et al.. (2020). H-DrunkWalk. ACM Transactions on Sensor Networks. 16(2). 1–27. 32 indexed citations

5.

Gao, Liyao, et al.. (2019). Rotation-equivariant convolutional neural network ensembles in image processing. 551–557. 6 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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