Tianxing Ma

950 total citations · 1 hit paper
39 papers, 565 citations indexed

About

Tianxing Ma is a scholar working on Management, Monitoring, Policy and Law, Mechanics of Materials and Civil and Structural Engineering. According to data from OpenAlex, Tianxing Ma has authored 39 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Management, Monitoring, Policy and Law, 15 papers in Mechanics of Materials and 10 papers in Civil and Structural Engineering. Recurrent topics in Tianxing Ma's work include Landslides and related hazards (16 papers), Rock Mechanics and Modeling (14 papers) and Geoscience and Mining Technology (4 papers). Tianxing Ma is often cited by papers focused on Landslides and related hazards (16 papers), Rock Mechanics and Modeling (14 papers) and Geoscience and Mining Technology (4 papers). Tianxing Ma collaborates with scholars based in China, United States and Australia. Tianxing Ma's co-authors include Hang Lin, Shijie Xie, Kang Peng, Yun Lin, Yi‐Peng Xu, Jiawen Pan, She Chen, Saeid Gholami Farkoush, Hongyue Sun and Tingyao Li and has published in prestigious journals such as Nucleic Acids Research, Journal of Hydrology and Expert Systems with Applications.

In The Last Decade

Tianxing Ma

35 papers receiving 539 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.

The rheological intelligent constitutive model of debris flow: A new paradigm for integrating mechanics mechanisms with data-driven approaches by combining data mapping and deep learning

2025 18 citations Tianxing Ma, Hao Chen et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tianxing Ma China	15	186	155	111	93	78	39	565
Kiyoshi Kishida Japan	16	349 1.9×	88 0.6×	405 3.6×	207 2.2×	224 2.9×	131	953
Pengfei Shan China	21	639 3.4×	162 1.0×	332 3.0×	122 1.3×	169 2.2×	46	923
Moe Momayez United States	13	111 0.6×	47 0.3×	105 0.9×	67 0.7×	38 0.5×	50	342
Jinyang Fan China	13	423 2.3×	155 1.0×	152 1.4×	129 1.4×	82 1.1×	27	680
Hongrui Li China	8	97 0.5×	203 1.3×	335 3.0×	99 1.1×	169 2.2×	12	643
Roberto Bruno Italy	13	99 0.5×	57 0.4×	76 0.7×	84 0.9×	47 0.6×	31	412
Xiaojie Tong China	6	271 1.5×	76 0.5×	186 1.7×	70 0.8×	71 0.9×	8	605
Xiangrui Meng China	16	483 2.6×	109 0.7×	271 2.4×	56 0.6×	246 3.2×	83	885
Bin Hu China	13	253 1.4×	116 0.7×	165 1.5×	172 1.8×	109 1.4×	95	685

Countries citing papers authored by Tianxing Ma

Since Specialization

Citations

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

Fields of papers citing papers by Tianxing Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianxing Ma

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

All Works

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20 of 20 papers shown

Wang, Qinghong, et al.. (2025). Intelligent rockburst level prediction model based on swarm intelligence optimization and multi-strategy learner soft voting hybrid ensemble. Geomechanics and Geophysics for Geo-Energy and Geo-Resources. 11(1). 7 indexed citations

Ma, Tianxing, et al.. (2025). Assessment of Debris Flow Susceptibility Based on PCA ‐ IV Coupling Method and SHAP Model: A Case Study of Linan District. Transactions in GIS. 29(7).

Chen, Hao, et al.. (2025). Negative sample selection for landslide susceptibility prediction: a hybrid optimization approach using an AHP-KDE multi-ring sampling strategy. Ecological Indicators. 180. 114304–114304. 1 indexed citations

Chen, Xuanhao, et al.. (2025). Interpretable soft computing deep ensemble model for predicting deformation of surrounding rock in deep tunnels. European Journal of Environmental and Civil engineering. 29(16). 3608–3650. 2 indexed citations

Ma, Tianxing, et al.. (2025). The rheological intelligent constitutive model of debris flow: A new paradigm for integrating mechanics mechanisms with data-driven approaches by combining data mapping and deep learning. Expert Systems with Applications. 269. 126405–126405. 18 indexed citations breakdown →

Ma, Tianxing, et al.. (2025). Modified Herschel–Bulkley–Papanastasiou model considering particle size distribution to debris flow rheological properties. Physics of Fluids. 37(2). 12 indexed citations

Ma, Tianxing, et al.. (2025). Parameter-Dependent Superconducting Transition Temperature in a Sign-Problem-Free Bilayer Model. Chinese Physics Letters. 42(11). 110705–110705.

Wang, Yufan, et al.. (2025). Prediction of thermal conductivity of natural rock materials using LLE-transformer-lightGBM model for geothermal energy applications. Energy Reports. 13. 2516–2530. 10 indexed citations

Bi, Yuzhang, et al.. (2025). Amended compacted clay liner for containment of copper-laden leachate in tailings reservoirs. Geomechanics and Geophysics for Geo-Energy and Geo-Resources. 11(1). 5 indexed citations

10.

Ge, Qi, Tianxing Ma, Hao Chen, et al.. (2025). A novel method for predicting debris flow hazard: a multi-strategy fusion approach based on the light gradient boosting machine framework. Stochastic Environmental Research and Risk Assessment. 39(10). 4867–4890. 4 indexed citations

11.

Lin, Yun, et al.. (2024). Prediction of peak strength under triaxial compression for sandstone based on ABC-SVM algorithm. Expert Systems with Applications. 264. 125923–125923. 14 indexed citations

12.

Ma, Tianxing, et al.. (2024). Study and verification on an improved comprehensive prediction model of landslide displacement. Bulletin of Engineering Geology and the Environment. 83(3). 16 indexed citations

13.

Cheng, Yanhui, et al.. (2024). Hybrid data-driven model and shapley additive explanations for peak dilation angle of rock discontinuities. Materials Today Communications. 40. 110194–110194. 11 indexed citations

14.

Xie, Shijie, Hang Lin, Hongyu Duan, Rubing Yao, & Tianxing Ma. (2024). A novel triaxial strength criterion for rocks based on the ultimate strength and its application. Geoenergy Science and Engineering. 246. 213590–213590. 15 indexed citations

15.

Liu, Kehong, et al.. (2024). A Machine Learning-based Method for Clustering the Traffic of Linux NATed Network Entities with TCP/IP Feature. 1010–1016.

16.

Fan, Ling, et al.. (2024). Research Progress on the Mechanisms and Control Methods of Rockbursts under Water–Rock Interactions. Applied Sciences. 14(19). 8653–8653. 8 indexed citations

17.

Zhang, Keying, Zhenghua Liu, Tianxing Ma, et al.. (2024). Prediction and explanation of debris flow velocity based on multi-strategy fusion Stacking ensemble learning model. Journal of Hydrology. 638. 131347–131347. 16 indexed citations

18.

Ma, Tianxing, Yun Lin, Yang Chen, et al.. (2024). Elastic modulus prediction for high-temperature treated rock using multi-step hybrid ensemble model combined with coronavirus herd immunity optimizer. Measurement. 240. 115596–115596. 20 indexed citations

19.

Xie, Shijie, Hang Lin, Tianxing Ma, Kang Peng, & Zhen Sun. (2024). Prediction of joint roughness coefficient via hybrid machine learning model combined with principal components analysis. Journal of Rock Mechanics and Geotechnical Engineering. 17(4). 2291–2306. 28 indexed citations

20.

Hu, Bo, et al.. (2023). Evolution of Physical and Mechanical Properties of Granite after Thermal Treatment under Cyclic Uniaxial Compression. Sustainability. 15(18). 13676–13676. 11 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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