Projects per year
Personal profile
Research Expertise
Seismology, Mechaniam of Earthquake Focus
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Kuo-Fong Ma is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Scenario Simulation and Loss Estimation for Large-Scale Earthquakes
Ma, K.-F. (PI)
1/06/23 → 31/05/24
Project: Research
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Understanding Earthquake Hazard from Earthquake System Science: Small to Large, Shallow to Deep Earthquakes(3/3)
Ma, K.-F. (PI)
1/08/20 → 31/07/21
Project: Research
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Earthquake forecasting model for Albania: the area source model and the smoothing model
Xhafaj, E., Chan, C. H. & Ma, K. F., 17 Jan 2024, In: Natural Hazards and Earth System Sciences. 24, 1, p. 109-119 11 p.Research output: Contribution to journal › Article › peer-review
Open Access -
On the Use of Instrumental and Macroseismic Data to Evaluate Ground-Motion Models: The 2019 Mw 6.4 Durres, Albania, Earthquake Sequence
Xhafaj, E., Ma, K.-F., Chan, C. H. & Gao, J. C., May 2024, In: Seismological Research Letters. 95, 3, p. 1610-1631 22 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Radon concentration in seawater as a geochemical indicator of submarine fault activity in the Yatsushiro Sea, Japan
Kawabata, K., Tsunomori, F., Kitamura, Y., Lin, Y.-Y., Chan, C. H. & Ma, K.-F., Dec 2024, In: Scientific Reports. 14, 1, 8664.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Source characterization of Intermediate-Depth earthquakes in southern Java, Indonesia
Megawati, M., Ma, K. F., Chen, P. F., Sianipar, D. & Hsieh, M. C., 1 Apr 2024, In: Journal of Asian Earth Sciences. 264, 106040.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
The Global DAS Month of February 2023
Wuestefeld, A., Spica, Z. J., Aderhold, K., Huang, H. H., Ma, K. F., Lai, V. H., Miller, M., Urmantseva, L., Zapf, D., Bowden, D. C., Edme, P., Kiers, T., Rinaldi, A. P., Tuinstra, K., Jestin, C., Diaz-Meza, S., Jousset, P., Wollin, C., Ugalde, A. & Barajas, S. R. & 30 others, , May 2024, In: Seismological Research Letters. 95, 3, p. 1569-1577 9 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations
Datasets
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MiDAS DAS data
Ma, K.-F. (Creator), von Specht, S. (Creator), Kuo, L.-W. (Creator), Huang, H.-H. (Creator), Lin, C.-R. (Creator), Lin, C.-J. (Creator), Ku, C.-S. (Creator), Wu, E.-S. (Creator), Wang, C.-Y. (Creator), Chang, W.-Y. (Creator), Jousset, P. (Creator), Ku, C.-S. (Contributor) & Ma, K.-F. (Contributor), Zenodo, 13 Jun 2024
DOI: 10.5281/zenodo.11631564, https://zenodo.org/records/11631564
Dataset
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Investigation of the fluid flow dynamic parameters for Newtonian and non-Newtonian materials: an approach to understanding the fluid flow-like structures within fault zones
Tanaka, H. (Contributor), Shiomi, Y. (Contributor) & Ma, K.-F. (Contributor), figshare, 2017
DOI: 10.6084/m9.figshare.c.3921049.v1, https://figshare.com/collections/Investigation_of_the_fluid_flow_dynamic_parameters_for_Newtonian_and_non-Newtonian_materials_an_approach_to_understanding_the_fluid_flow-like_structures_within_fault_zones/3921049/1
Dataset
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Investigation of the fluid flow dynamic parameters for Newtonian and non-Newtonian materials: an approach to understanding the fluid flow-like structures within fault zones
Tanaka, H. (Contributor), Shiomi, Y. (Contributor) & Ma, K.-F. (Contributor), figshare, 2017
DOI: 10.6084/m9.figshare.c.3921049, https://figshare.com/collections/Investigation_of_the_fluid_flow_dynamic_parameters_for_Newtonian_and_non-Newtonian_materials_an_approach_to_understanding_the_fluid_flow-like_structures_within_fault_zones/3921049
Dataset