Siyuan Ma

4.3k total citations · 2 hit papers
79 papers, 2.3k citations indexed

About

Siyuan Ma is a scholar working on Management, Monitoring, Policy and Law, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Siyuan Ma has authored 79 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Management, Monitoring, Policy and Law, 25 papers in Global and Planetary Change and 23 papers in Atmospheric Science. Recurrent topics in Siyuan Ma's work include Landslides and related hazards (56 papers), Cryospheric studies and observations (20 papers) and Fire effects on ecosystems (17 papers). Siyuan Ma is often cited by papers focused on Landslides and related hazards (56 papers), Cryospheric studies and observations (20 papers) and Fire effects on ecosystems (17 papers). Siyuan Ma collaborates with scholars based in China, United States and Canada. Siyuan Ma's co-authors include Chong Xu, Mikhail Belkin, Soumik Mandal, Daniel Hsu, Xiaoyi Shao, Yingying Tian, Xiwei Xu, Rubao Lee, Qing Zhou and Yulong Cui and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Siyuan Ma

75 papers receiving 2.2k citations

Hit Papers

Reconciling modern machine-learning practice and the clas... 2019 2026 2021 2023 2019 2024 200 400 600
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. Reconciling modern machine-learning practice and the classical bias–variance trade-off
    2019 676 citations Mikhail Belkin, Daniel Hsu et al. profile →
  2. Landslides triggered by the 2022 Ms. 6.8 Luding strike-slip earthquake: An update
    2024 38 citations Xiaoyi Shao, Siyuan Ma et al. Engineering Geology profile →

Peers

Siyuan Ma
Hugh G. Lewis United Kingdom
J. M. N. T. Gray United Kingdom
Naonori Ueda Japan
Jun Zhu China
Anuj Karpatne United States
Mohd Anul Haq Saudi Arabia
В. Ф. Писаренко Russia
Jiang Li United States
Fan Wu China
Hugh G. Lewis United Kingdom
Siyuan Ma
Citations per year, relative to Siyuan Ma Siyuan Ma (= 1×) peers Hugh G. Lewis

Countries citing papers authored by Siyuan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Siyuan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siyuan Ma

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

All Works

20 of 20 papers shown
1.
Li, Zuohua, et al.. (2025). A training strategy based on iterative self-training enhanced transfer learning for accurate structural time history response prediction. Computers & Structures. 316. 107840–107840. 1 indexed citations
2.
Ma, Siyuan, et al.. (2025). Improving carbon dioxide emission predictions through a hybrid model utilising an advanced sparrow search algorithm. Environmental Technology. 46(17). 3422–3437. 1 indexed citations
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Ma, Siyuan, et al.. (2024). Landslides triggered by the 30th June 2012 Ms6.6 Hejing earthquake, Xinjiang province, China. Bulletin of Engineering Geology and the Environment. 83(6). 7 indexed citations
6.
Ma, Siyuan, Xiaoyi Shao, & Chong Xu. (2023). Physically-based rainfall-induced landslide thresholds for the Tianshui area of Loess Plateau, China by TRIGRS model. CATENA. 233. 107499–107499. 23 indexed citations
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Ma, Siyuan, Xiaoyi Shao, Chong Xu, & Yueren Xu. (2023). Insight from a Physical-Based Model for the Triggering Mechanism of Loess Landslides Induced by the 2013 Tianshui Heavy Rainfall Event. Water. 15(3). 443–443. 16 indexed citations
9.
Shao, Xiaoyi, Siyuan Ma, Chong Xu, Jia Cheng, & Xiwei Xu. (2023). Seismically-induced landslide probabilistic hazard mapping of Aba Prefecture and Chengdu Plain region, Sichuan Province, China for future seismic scenarios. Geoscience Letters. 10(1). 9 indexed citations
10.
Ma, Siyuan, Xiaoyi Shao, & Chong Xu. (2023). Estimating the Quality of the Most Popular Machine Learning Algorithms for Landslide Susceptibility Mapping in 2018 Mw 7.5 Palu Earthquake. Remote Sensing. 15(19). 4733–4733. 14 indexed citations
11.
Ma, Siyuan, Xiaoyi Shao, & Chong Xu. (2023). Landslide Susceptibility Mapping in Terms of the Slope-Unit or Raster-Unit, Which is Better?. Journal of Earth Science. 34(2). 386–397. 26 indexed citations
12.
Shi, Wei, et al.. (2022). Response of modern fluvial sediments to regional tectonic activity along the upper Min River, eastern Tibet. Earth Surface Dynamics. 10(6). 1195–1209. 3 indexed citations
13.
Ma, Siyuan, Chong Xu, Xiaoyi Shao, Xiwei Xu, & Aichun Liu. (2021). A Large Old Landslide in Sichuan Province, China: Surface Displacement Monitoring and Potential Instability Assessment. Remote Sensing. 13(13). 2552–2552. 18 indexed citations
14.
Ma, Siyuan & Mikhail A. Belkin. (2019). Kernel Machines That Adapt To Gpus For Effective Large Batch Training.. 1. 360–373. 1 indexed citations
15.
Tian, Yingying, et al.. (2018). Inventory and Spatial Distribution of Landslides Triggered by the 8th August 2017 MW 6.5 Jiuzhaigou Earthquake, China. Journal of Earth Science. 30(1). 206–217. 114 indexed citations
16.
Belkin, Mikhail, Daniel Hsu, Siyuan Ma, & Soumik Mandal. (2018). Reconciling modern machine learning and the bias-variance trade-off. arXiv (Cornell University). 34 indexed citations
17.
Ma, Siyuan, Raef Bassily, & Mikhail Belkin. (2018). The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning. International Conference on Machine Learning. 3325–3334. 20 indexed citations
18.
Ma, Siyuan & Mikhail Belkin. (2017). Diving into the shallows: a computational perspective on large-scale shallow learning. Neural Information Processing Systems. 30. 3778–3787. 4 indexed citations
19.
Luo, Tian, et al.. (2013). S-CAVE: effective SSD caching to improve virtual machine storage performance. International Conference on Parallel Architectures and Compilation Techniques. 103–112. 48 indexed citations
20.

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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