Yuling Jiao

1.3k total citations
67 papers, 672 citations indexed

About

Yuling Jiao is a scholar working on Computational Mechanics, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Yuling Jiao has authored 67 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Mechanics, 19 papers in Statistics and Probability and 14 papers in Artificial Intelligence. Recurrent topics in Yuling Jiao's work include Sparse and Compressive Sensing Techniques (28 papers), Statistical Methods and Inference (17 papers) and Model Reduction and Neural Networks (9 papers). Yuling Jiao is often cited by papers focused on Sparse and Compressive Sensing Techniques (28 papers), Statistical Methods and Inference (17 papers) and Model Reduction and Neural Networks (9 papers). Yuling Jiao collaborates with scholars based in China, United States and Hong Kong. Yuling Jiao's co-authors include Xiliang Lu, Bangti Jin, Jian Huang, Jin Liu, Qiangqiang Yuan, Huanfeng Shen, Liangpei Zhang, Xinxin Liu, Yanyan Liu and Yi Yang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Yuling Jiao

52 papers receiving 650 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuling Jiao China	15	298	216	148	113	96	67	672
Xiliang Lu China	16	332 1.1×	265 1.2×	77 0.5×	166 1.5×	45 0.5×	67	830
Xiangyu Chang China	3	495 1.7×	297 1.4×	26 0.2×	70 0.6×	38 0.4×	4	787
Yaniv Romano Israel	13	336 1.1×	818 3.8×	44 0.3×	343 3.0×	25 0.3×	23	1.2k
Gui–Bo Ye United States	8	204 0.7×	217 1.0×	53 0.4×	41 0.4×	26 0.3×	9	427
Zhen Xiang United States	13	85 0.3×	158 0.7×	75 0.5×	26 0.2×	55 0.6×	42	591
Lie Wang United States	12	439 1.5×	103 0.5×	295 2.0×	9 0.1×	30 0.3×	21	802
Penghang Yin United States	13	455 1.5×	276 1.3×	33 0.2×	33 0.3×	77 0.8×	29	843
Abla Kammoun Saudi Arabia	21	54 0.2×	100 0.5×	104 0.7×	38 0.3×	8 0.1×	116	1.9k
Cun-Hui Zhang United States	11	79 0.3×	99 0.5×	449 3.0×	7 0.1×	104 1.1×	16	825
Mauro Piccioni Italy	13	59 0.2×	203 0.9×	123 0.8×	16 0.1×	21 0.2×	41	583

Countries citing papers authored by Yuling Jiao

Since Specialization

Citations

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

Fields of papers citing papers by Yuling Jiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuling Jiao

This figure shows the co-authorship network connecting the top 25 collaborators of Yuling Jiao. A scholar is included among the top collaborators of Yuling Jiao 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 Yuling Jiao. Yuling Jiao 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, Xin, et al.. (2025). Prediction of Coal Calorific Value Based on Coal Quality-Derived Indicators and Support Vector Regression Method. Energies. 18(21). 5600–5600.

Jiao, Yuling, et al.. (2024). Current density impedance imaging with PINNs. Journal of Computational and Applied Mathematics. 452. 116120–116120. 2 indexed citations

Jiao, Yuling, et al.. (2024). A Gaussian mixture distribution-based adaptive sampling method for physics-informed neural networks. Engineering Applications of Artificial Intelligence. 135. 108770–108770. 7 indexed citations

Jiao, Yuling & Manjet Kaur Mehar Singh. (2024). Chinese in the Linguistic Landscape of Chinese Communities in Malaysia: A Tale of Three Cities. International Journal of English Linguistics. 14(5). 78–78.

Liao, Xu, Xiaoran Chai, Peng Xie, et al.. (2024). Multivariate stochastic modeling for transcriptional dynamics with cell-specific latent time using SDEvelo. Nature Communications. 15(1). 10849–10849. 1 indexed citations

Jiao, Yuling, et al.. (2024). A Stabilized Physics Informed Neural Networks Method for Wave Equations. Numerical Mathematics Theory Methods and Applications. 17(4). 1100–1127. 1 indexed citations

Jiao, Yuling, et al.. (2024). Deep contrastive representation learning for supervised tasks. Pattern Recognition. 161. 111309–111309.

Xiao, Jiashun, Mingxuan Cai, Yuling Jiao, et al.. (2023). PALM: a powerful and adaptive latent model for prioritizing risk variants with functional annotations. Bioinformatics. 39(2). 1 indexed citations

Jiao, Yuling, Dingwei Li, Min Liu, Xiliang Lu, & Yuanyuan Yang. (2023). Just Least Squares: Binary Compressive Sampling with Low Generative Intrinsic Dimension. Journal of Scientific Computing. 95(1).

10.

Jin, Bangti, et al.. (2021). A unified primal dual active set algorithm for nonconvex sparse recovery. UCL Discovery (University College London).

11.

Shi, Xingjie, Xiaoran Chai, Yi Yang, et al.. (2020). A tissue-specific collaborative mixed model for jointly analyzing multiple tissues in transcriptome-wide association studies. Nucleic Acids Research. 48(19). e109–e109. 20 indexed citations

12.

Yang, Yi, Xingjie Shi, Yuling Jiao, et al.. (2019). CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies. Bioinformatics. 36(7). 2009–2016. 26 indexed citations

13.

Jiao, Yuling, et al.. (2018). A Nonconvex Model with Minimax Concave Penalty for Image Restoration. Journal of Scientific Computing. 78(2). 1063–1086. 37 indexed citations

14.

Morton, Y. Jade, et al.. (2018). Machine Learning for GNSS Ionospheric Scintillation Detection and Characterization. AGU Fall Meeting Abstracts. 2018.

15.

Huang, Jian, Yuling Jiao, Yanyan Liu, & Xiliang Lu. (2018). A Constructive Approach to $L_0$ Penalized Regression. Journal of Machine Learning Research. 19(1). 1–37. 8 indexed citations

16.

Huang, Jian, et al.. (2018). Semi-Smooth Newton Algorithm for Non-Convex Penalized Linear Regression. arXiv (Cornell University). 2 indexed citations

17.

Jiao, Yuling, Bangti Jin, & Xiliang Lu. (2014). A primal dual active set with continuation algorithm for the ℓ0-regularized optimization problem. Applied and Computational Harmonic Analysis. 39(3). 400–426. 58 indexed citations

18.

Jiao, Yuling. (2012). An Overview of Image Restoration Based on Variational Regularization. Advances in Mathematics. 1 indexed citations

19.

Li, Rui, et al.. (2011). Simulation Platform for Relative Navigation Using GPS Carrier Phase Measurements for Satellite Formation Flying Missions. 2 indexed citations

20.

Jiao, Yuling. (2010). Effective flange width of T simple-supported beam under uniform or linear load. Journal of Jilin University.

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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