Gang Ma

5.1k total citations
207 papers, 4.0k citations indexed

About

Gang Ma is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Management, Monitoring, Policy and Law. According to data from OpenAlex, Gang Ma has authored 207 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Civil and Structural Engineering, 62 papers in Mechanics of Materials and 61 papers in Management, Monitoring, Policy and Law. Recurrent topics in Gang Ma's work include Landslides and related hazards (61 papers), Geotechnical Engineering and Soil Mechanics (43 papers) and Granular flow and fluidized beds (38 papers). Gang Ma is often cited by papers focused on Landslides and related hazards (61 papers), Geotechnical Engineering and Soil Mechanics (43 papers) and Granular flow and fluidized beds (38 papers). Gang Ma collaborates with scholars based in China, United States and Hong Kong. Gang Ma's co-authors include Wei Zhou, Xiaolin Chang, Wei Zhou, Qiao Wang, Tang‐Tat Ng, Yonggang Cheng, Jiaying Liu, Lifu Yang, Y.T. Feng and Kun Xu and has published in prestigious journals such as The Journal of Physical Chemistry B, Earth and Planetary Science Letters and Water Resources Research.

In The Last Decade

Gang Ma

188 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gang Ma China	35	2.3k	1.4k	1.2k	1.1k	449	207	4.0k
Y.T. Feng United Kingdom	38	1.7k 0.7×	1.5k 1.0×	663 0.6×	2.3k 2.0×	664 1.5×	174	4.5k
José E. Andrade United States	34	2.3k 1.0×	1.3k 0.9×	1.2k 1.0×	1.5k 1.3×	644 1.4×	134	4.2k
Feng Jin China	34	2.4k 1.0×	880 0.6×	508 0.4×	632 0.6×	614 1.4×	187	3.4k
J. Tejchman Poland	42	3.7k 1.6×	2.5k 1.8×	1.1k 0.9×	1.5k 1.3×	619 1.4×	210	5.6k
Xiaolin Chang China	31	1.7k 0.7×	883 0.6×	738 0.6×	700 0.6×	219 0.5×	97	2.4k
Qizhi Zhu China	36	1.7k 0.7×	3.6k 2.6×	708 0.6×	426 0.4×	660 1.5×	146	4.2k
Félix Darve France	39	3.0k 1.3×	1.5k 1.1×	1.9k 1.6×	1.5k 1.3×	348 0.8×	163	4.4k
Nasser Khalili Australia	46	5.0k 2.1×	1.8k 1.3×	1.6k 1.4×	552 0.5×	953 2.1×	162	6.7k
Xiang Wang China	34	1.3k 0.6×	488 0.4×	511 0.4×	503 0.4×	1.2k 2.6×	110	3.1k
Charles E. Augarde United Kingdom	36	2.0k 0.9×	1.6k 1.1×	296 0.3×	975 0.9×	262 0.6×	126	3.6k

Countries citing papers authored by Gang Ma

Since Specialization

Citations

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

Fields of papers citing papers by Gang Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Ma. A scholar is included among the top collaborators of Gang 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 Gang Ma. Gang Ma 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

Ma, Gang, et al.. (2025). Deciphering Landslide Precursors From Spatiotemporal Ground Motion Using Persistent Homology. Journal of Geophysical Research Earth Surface. 130(2).

Yan, Yifan, Guanhua Jia, Zhu Li, et al.. (2024). "Smart" concrete based on microbially induced carbonate precipitation – A review. Construction and Building Materials. 451. 138904–138904. 8 indexed citations

Hu, Jinfang, et al.. (2024). Leveraging FDEM simulations of rockfill materials for an improved constitutive model considering hysteretic behavior. Computers and Geotechnics. 174. 106662–106662. 5 indexed citations

Yan, Yifan, et al.. (2024). Study on frost resistance and life prediction of microbial self-healing concrete based on expanded perlite as carrier. Journal of Building Engineering. 91. 109693–109693. 20 indexed citations

Liu, Wei, Yifan Yan, Guanhua Jia, et al.. (2024). Influence of carbonate-inducing bacteria on desulfurization effect of medium and high sulfur coal gangue under spraying and preparation of desulfurized coal gangue mortar. Construction and Building Materials. 441. 137446–137446. 2 indexed citations

Wang, Zhiyong, Jie Zhang, Yifan Liu, et al.. (2024). Predicting peak tensile stress in mesoscale concrete considering size effects: A data-physical hybrid-driven approach. Construction and Building Materials. 442. 137614–137614. 1 indexed citations

Yan, Yifan, Zhu Li, Guanhua Jia, et al.. (2024). Mechanical properties and frost resistance of self-healing concrete based on expanded perlite with different particle sizes as microbial carrier. Construction and Building Materials. 422. 135450–135450. 19 indexed citations

Ma, Gang, et al.. (2024). Graph neural network unveils the spatiotemporal evolution of structural defects in sheared granular materials. International Journal of Plasticity. 184. 104218–104218. 6 indexed citations

Liu, Jiaying, Gang Ma, Chengbao Hu, et al.. (2024). How Does the Largest Cluster in the Strong Network Rule Granular Soil Mechanics? A DEM Study. International Journal for Numerical and Analytical Methods in Geomechanics. 49(3). 839–859. 8 indexed citations

10.

Zhou, Wei, et al.. (2024). A network-based investigation on static liquefaction of sheared granular materials. Granular Matter. 26(3). 2 indexed citations

11.

Ma, Gang, et al.. (2024). Knowledge Extraction via Machine Learning Guides a Topology‐Based Permeability Prediction Model. Water Resources Research. 60(7). 2 indexed citations

12.

Ma, Gang, et al.. (2024). Multi-source monitoring data filtering assisted deformation analysis model updating of ultra-high rockfill dam. Computers and Geotechnics. 171. 106323–106323. 11 indexed citations

13.

Ma, Gang, et al.. (2023). Spatial clustering of microscopic dynamics governs the slip avalanche of sheared granular materials. International Journal of Plasticity. 163. 103570–103570. 19 indexed citations

14.

Ma, Gang, et al.. (2023). Modeling shear-induced solid-liquid transition of granular materials using persistent homology. Journal of the Mechanics and Physics of Solids. 176. 105307–105307. 12 indexed citations

15.

Wang, Qiao, Timon Rabczuk, Wei Zhou, et al.. (2023). A phase-field lattice model (PFLM) for fracture problem: Theory and application in composite materials. Composite Structures. 323. 117432–117432. 12 indexed citations

16.

Xu, Wenrui, Zhuo Tang, Youjun Xie, et al.. (2023). Recent advances and insights in nanoindentation technique in the characterization of cement-based materials. Journal of Building Engineering. 80. 108022–108022. 18 indexed citations

17.

Zhang, Renjun, Zhibing Yang, R. L. Detwiler, et al.. (2023). Liquid Cohesion Induced Particle Agglomeration Enhances Clogging in Rock Fractures. Geophysical Research Letters. 50(5). 7 indexed citations

18.

Ma, Gang, et al.. (2023). The Use of Shape Accel Array for Deformation Monitoring and Parameter Inversion of a 300 m Ultrahigh Rockfill Dam. Structural Control and Health Monitoring. 2023. 1–18. 11 indexed citations

19.

Ma, Gang, et al.. (2022). Investigation of Flow Characteristics of Landslide Materials Through Pore Space Topology and Complex Network Analysis. Water Resources Research. 58(9). 13 indexed citations

20.

Ma, Gang. (2010). Forecast of oil-gas drilling cost based on BP neural network. Journal of Xi'an Shiyou University. 2 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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