Chakilu, G., Szegedi, S., Túri, Z., Phinzi, K.: Climate change and the response of streamflow of watersheds under the high emission scenario in Lake Tana sub-basin, upper Blue Nile basin, Ethiopia.
J Hydrol-Reg Stud. 42 1-16, 2022.

Ebhuoma, O., Gebreslasie, M., Ngetar, N., Phinzi, K., Bhattacharjee, S.: Soil Erosion Vulnerability Mapping in Selected Rural Communities of uThukela Catchment, South Africa, Using the Analytic Hierarchy Process.
Earth Syst Environ. Epub 1-14, 2022.

Phinzi, K., Abriha, D., Szabó, S.: Classification Efficacy Using K-Fold Cross-Validation and Bootstrapping Resampling Techniques on the Example of Mapping Complex Gully Systems.
Remote Sens. 13 (15), 1-18, 2021.

Phinzi, K., Holb, I., Szabó, S.: Mapping Permanent Gullies in an Agricultural Area Using Satellite Images: Efficacy of Machine Learning Algorithms.
Agronomy-Basel. 11 (2), 1-16, 2021.

Phinzi, K., Ngetar, N., Ebhuoma, O.: Soil erosion risk assessment in the Umzintlava catchment (T32E), Eastern Cape, South Africa, using RUSLE and random forest algorithm.
South African Geographical Journal. 103 (2), 139-1624, 2021.

Szabó, L., Abriha, D., Phinzi, K., Szabó, S.: Urban vegetation classification with high-resolution PlanetScope and SkySat multispectral imagery.
Acta geogr. Debr., Landsc. environ. ser. 15 (1), 66-75, 2021.

Phinzi, K., Ngetar, N., Ebhuoma, O., Szabó, S.: Comparison of Rusle and Supervised Classification Algorithms for Identifying Erosion-Prone Areas in a Mountainous Rural Landscape.
Carpath. J. Earth Environ. Sci. 15 (2), 405-413, 2020.

Phinzi, K., Abriha, D., Bertalan, L., Holb, I., Szabó, S.: Machine Learning for Gully Feature Extraction Based on a Pan-Sharpened Multispectral Image: Multiclass vs. Binary Approach.
ISPRS Int. Geo-Inf. 9 (4), 1-20, 2020.

Abriha, D., Szabó, L., Phinzi, K., Szabó, S.: Városi zöldfelületek osztályozása nagy felbontású PlanetScope és SkySat felvételek alapján.
In: Az elmélet és a gyakorlat találkozása a térinformatikában XI. : Theory meets practice in gis. Szerk.: Molnár Vanda Éva, Debreceni Egyetemi Kiadó, Debrecen, 13-16, 2020. ISBN: 9789633188866