Ling Guo

3.3k total citations · 2 hit papers
54 papers, 2.3k citations indexed

About

Ling Guo is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Ling Guo has authored 54 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics, Probability and Uncertainty, 14 papers in Statistical and Nonlinear Physics and 14 papers in Artificial Intelligence. Recurrent topics in Ling Guo's work include Probabilistic and Robust Engineering Design (19 papers), Model Reduction and Neural Networks (10 papers) and Structural Health Monitoring Techniques (5 papers). Ling Guo is often cited by papers focused on Probabilistic and Robust Engineering Design (19 papers), Model Reduction and Neural Networks (10 papers) and Structural Health Monitoring Techniques (5 papers). Ling Guo collaborates with scholars based in China, United Kingdom and United States. Ling Guo's co-authors include Alejandro Pazos, Daniel Rivero, George Em Karniadakis, Dongkun Zhang, Julián Dorado, Lu Lu, Juan R. Rabuñal, Tao Tang, Liang Yan and Apostolos F. Psaros and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Molecular Biology and Journal of Computational Physics.

In The Last Decade

Ling Guo

50 papers receiving 2.2k citations

Hit Papers

align trajectories

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.

Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems

2019 318 citations Dongkun Zhang, Ling Guo et al. Journal of Computational Physics profile →
Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons

2023 215 citations Apostolos F. Psaros, Xuhui Meng et al. Journal of Computational Physics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ling Guo China	19	896	665	649	462	358	54	2.3k
Michael J. Korenberg Canada	28	431 0.5×	432 0.6×	214 0.3×	985 2.1×	134 0.4×	140	4.0k
William A. Sethares United States	29	514 0.6×	1.1k 1.6×	86 0.1×	563 1.2×	55 0.2×	149	3.0k
Ronen Talmon Israel	24	390 0.4×	764 1.1×	145 0.2×	412 0.9×	25 0.1×	106	1.6k
M.R. Raghuveer Canada	15	290 0.3×	824 1.2×	72 0.1×	273 0.6×	27 0.1×	105	2.0k
Dimitris Kugiumtzis Greece	28	787 0.9×	292 0.4×	648 1.0×	399 0.9×	22 0.1×	98	2.3k
P.M.T. Broersen Netherlands	23	83 0.1×	460 0.7×	86 0.1×	374 0.8×	90 0.3×	123	1.8k
Marvin H. J. Gruber United States	8	189 0.2×	575 0.9×	38 0.1×	293 0.6×	64 0.2×	15	2.1k
Liangyue Cao Australia	9	252 0.3×	223 0.3×	524 0.8×	396 0.9×	11 0.0×	20	1.7k
Tianshuang Qiu China	26	106 0.1×	965 1.5×	132 0.2×	354 0.8×	18 0.1×	194	2.7k
Ping He China	26	193 0.2×	121 0.2×	237 0.4×	464 1.0×	18 0.1×	226	2.5k

Countries citing papers authored by Ling Guo

Since Specialization

Citations

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

Fields of papers citing papers by Ling Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Guo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Xintong, Xiaofei Guan, Ling Guo, & Hao Wu. (2025). Flow-based Bayesian filtering for high-dimensional nonlinear stochastic dynamical systems. Computer Methods in Applied Mechanics and Engineering. 446. 118285–118285.

Huang, Chenghong, Yuan Yang, Li Cheng, et al.. (2025). Benazepril Promotes the Proliferation and Differentiation of Urine-Derived Stem Cells from Children with Nephrotic Syndrome During the Chronic Kidney Disease Stage. Biochemical Genetics. 64(1). 751–771.

Tong, Chudong, et al.. (2025). PVA-BLS: Polynomial vector autoregression broad learning system for multivariate time series prediction. Knowledge-Based Systems. 326. 114025–114025.

Gao, Li, Jingjing Feng, Hongxiu Jiang, et al.. (2025). XGBoost-based model for predicting PICC occlusion risk in cancer patients: Insights from SHAP analysis. Alexandria Engineering Journal. 123. 436–447. 1 indexed citations

Psaros, Apostolos F., Xuhui Meng, Zongren Zou, Ling Guo, & George Em Karniadakis. (2023). Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons. Journal of Computational Physics. 477. 111902–111902. 215 indexed citations breakdown →

Wang, Shuo, et al.. (2023). A computational study of fibrinogen-induced alteration in microvascular blood flow in COVID-19. The European Physical Journal Special Topics. 232(16). 2761–2772. 1 indexed citations

Wang, Shuo, et al.. (2022). Probing the Interaction Between Supercarrier RBC Membrane and Nanoparticles for Optimal Drug Delivery. Journal of Molecular Biology. 435(1). 167539–167539. 8 indexed citations

Liu, Jing, Yan Zeng, Jing Guo, et al.. (2022). Establishment and validation of a carbohydrate metabolism-related gene signature for prognostic model and immune response in acute myeloid leukemia. Frontiers in Immunology. 13. 1038570–1038570. 8 indexed citations

Zhang, Dongkun, Ling Guo, & George Em Karniadakis. (2020). Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks. SIAM Journal on Scientific Computing. 42(2). A639–A665. 184 indexed citations

10.

Guo, Ling, Akil Narayan, & Tao Tang. (2018). A gradient enhanced ℓ1-minimization for sparse approximation of polynomial chaos expansions. Journal of Computational Physics. 367. 49–64. 33 indexed citations

11.

Shen, Zuowei, et al.. (2017). Undrained capacity of a surface circular foundation under fully three-dimensional loading. Computers and Geotechnics. 92. 57–67. 24 indexed citations

12.

Yan, Liang & Ling Guo. (2015). Stochastic Collocation Algorithms Using $l_1$-Minimization for Bayesian Solution of Inverse Problems. SIAM Journal on Scientific Computing. 37(3). A1410–A1435. 28 indexed citations

13.

Guo, Ling, Yuzhu Guo, S.A. Billings, & Daniel Coca. (2014). Approximate observability of infinite dimensional bilinear systems using a Volterra series expansion. Systems & Control Letters. 75. 20–26. 1 indexed citations

14.

Guo, Ling & Jianguo Huang. (2010). Dynamical analysis of Kirchhoff plates by an explicit time integration Morley element method. Journal of Computational and Applied Mathematics. 234(8). 2483–2492. 1 indexed citations

15.

Guo, Ling, Daniel Rivero, Julián Dorado, Juan R. Rabuñal, & Alejandro Pazos. (2010). Automatic epileptic seizure detection in EEGs based on line length feature and artificial neural networks. Journal of Neuroscience Methods. 191(1). 101–109. 329 indexed citations

16.

Guo, Ling, Daniel Rivero, & Alejandro Pazos. (2010). Epileptic seizure detection using multiwavelet transform based approximate entropy and artificial neural networks. Journal of Neuroscience Methods. 193(1). 156–163. 312 indexed citations

17.

Jin, Yaomin, Ling Guo, María C. Veiga, & Christian Kennes. (2008). Optimization of the treatment of carbon monoxide-polluted air in biofilters. Chemosphere. 74(2). 332–337. 24 indexed citations

18.

Huang, Jianguo, Ling Guo, & Zhong‐Ci Shi. (2007). A finite element method for investigating general elastic multi-structures. Computers & Mathematics with Applications. 53(12). 1867–1895. 2 indexed citations

19.

Guo, Ling & S.A. Billings. (2007). IDENTIFICATION OF BINARY CELLULAR AUTOMATA FROM SPATIO-TEMPORAL BINARY PATTERNS USING A FOURIER REPRESENTATION. International Journal of Bifurcation and Chaos. 17(6). 1985–1996. 1 indexed citations

20.

Huang, Jianguo, Ling Guo, & Zhong‐Ci Shi. (2007). Vibration analysis of Kirchhoff plates by the Morley element method. Journal of Computational and Applied Mathematics. 213(1). 14–34. 12 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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