Zhuoning Yuan

872 total citations · 1 hit paper
16 papers, 471 citations indexed

About

Zhuoning Yuan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Astronomy and Astrophysics. According to data from OpenAlex, Zhuoning Yuan has authored 16 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Astronomy and Astrophysics. Recurrent topics in Zhuoning Yuan's work include Stochastic Gradient Optimization Techniques (4 papers), Ionosphere and magnetosphere dynamics (3 papers) and Solar and Space Plasma Dynamics (3 papers). Zhuoning Yuan is often cited by papers focused on Stochastic Gradient Optimization Techniques (4 papers), Ionosphere and magnetosphere dynamics (3 papers) and Solar and Space Plasma Dynamics (3 papers). Zhuoning Yuan collaborates with scholars based in United States, China and United Kingdom. Zhuoning Yuan's co-authors include Tianbao Yang, Xun Zhou, Xing Fang, Yan Yan, Milan Sonka, Shucai Huang, K. Jiang, Zhengyang Wang, Xu Zhao and Yaochen Xie and has published in prestigious journals such as Bioinformatics, The Astrophysical Journal Supplement Series and Engineering Applications of Artificial Intelligence.

In The Last Decade

Zhuoning Yuan

13 papers receiving 462 citations

Hit Papers

Hetero-ConvLSTM 2018 2026 2020 2023 2018 50 100 150 200 250
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. Hetero-ConvLSTM
    2018 252 citations Zhuoning Yuan, Xun Zhou et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhuoning Yuan United States 6 177 135 110 68 66 16 471
Jie Zeng China 11 134 0.8× 83 0.6× 109 1.0× 94 1.4× 17 0.3× 32 467
Zhengyang Zhou China 13 237 1.3× 136 1.0× 154 1.4× 53 0.8× 65 1.0× 47 526
Bowen Du China 11 106 0.6× 113 0.8× 95 0.9× 37 0.5× 15 0.2× 54 380
Shandian Zhe United States 12 68 0.4× 141 1.0× 37 0.3× 65 1.0× 9 0.1× 49 491
Feng-Jang Hwang Taiwan 13 60 0.3× 85 0.6× 50 0.5× 45 0.7× 11 0.2× 45 503
Stéphane Puechmorel France 13 56 0.3× 59 0.4× 34 0.3× 56 0.8× 57 0.9× 34 544
Haofan Yang China 12 225 1.3× 120 0.9× 155 1.4× 40 0.6× 18 0.3× 25 599
Xiaocai Zhang China 14 62 0.4× 86 0.6× 59 0.5× 36 0.5× 5 0.1× 44 559
Hanen Borchani Spain 6 23 0.1× 200 1.5× 16 0.1× 85 1.3× 10 0.2× 8 506
Jarosław Wąs Poland 12 53 0.3× 64 0.5× 97 0.9× 38 0.6× 85 1.3× 50 411

Countries citing papers authored by Zhuoning Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Zhuoning Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuoning Yuan

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

All Works

16 of 16 papers shown
1.
2.
Huang, Xiang, Bin Lu, Zhuoning Yuan, et al.. (2025). Prediction of both diffusive and hydraulic conductance in the pore network model extracted from 3D images using deep learning. Modelling and Simulation in Materials Science and Engineering. 33(2). 25022–25022.
3.
4.
Yuan, Zhuoning, et al.. (2023). LibAUC: A Deep Learning Library for X-Risk Optimization. arXiv (Cornell University). 5487–5499. 5 indexed citations
5.
Huang, S. Y., Zhuoning Yuan, K. Jiang, et al.. (2022). Selection of the Main Control Parameters for the Dst Index Prediction Model Based on a Layer-wise Relevance Propagation Method. The Astrophysical Journal Supplement Series. 260(1). 6–6. 4 indexed citations
6.
Wang, Zhengyang, Meng Liu, Youzhi Luo, et al.. (2022). Advanced graph and sequence neural networks for molecular property prediction and drug discovery. Bioinformatics. 38(9). 2579–2586. 63 indexed citations
7.
Yuan, Zhuoning, et al.. (2021). Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity. International Conference on Machine Learning. 12219–12229. 5 indexed citations
8.
Yuan, Zhuoning, Yan Yan, Milan Sonka, & Tianbao Yang. (2021). Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 3020–3029. 55 indexed citations
9.
Liu, Mingrui, Zhuoning Yuan, Yiming Ying, & Tianbao Yang. (2020). Stochastic AUC Maximization with Deep Neural Networks. arXiv (Cornell University). 2 indexed citations
10.
Liu, Mingrui, et al.. (2020). Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks. International Conference on Machine Learning. 1. 3864–3874. 1 indexed citations
11.
Huang, Shucai, et al.. (2020). Prediction of the Dst Index with Bagging Ensemble-learning Algorithm. The Astrophysical Journal Supplement Series. 248(1). 14–14. 29 indexed citations
12.
Ding, Yichen, Xun Zhou, Han Bao, et al.. (2020). Cycling-Net. 337–346. 4 indexed citations
13.
Xu, Yi, Zhuoning Yuan, Sen Yang, Rong Jin, & Tianbao Yang. (2019). On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization. 4003–4009. 2 indexed citations
14.
Fang, Xing & Zhuoning Yuan. (2019). Performance enhancing techniques for deep learning models in time series forecasting. Engineering Applications of Artificial Intelligence. 85. 533–542. 47 indexed citations
15.
Yang, Tianbao, Yan Yan, Zhuoning Yuan, & Rong Jin. (2018). Why Does Stagewise Training Accelerate Convergence of Testing Error Over SGD. arXiv (Cornell University). 1 indexed citations
16.
Yuan, Zhuoning, Xun Zhou, & Tianbao Yang. (2018). Hetero-ConvLSTM. 984–992. 252 indexed citations breakdown →

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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