OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Data Mining and Statistical Approaches in Debris-Flow Susceptibility Modelling Using Airborne LiDAR Data
Usman Salihu Lay, Biswajeet Pradhan, Zainuddin Yusoff, et al.
Sensors (2019) Vol. 19, Iss. 16, pp. 3451-3451
Open Access | Times Cited: 43

Showing 26-50 of 43 citing articles:

Characterization of Vegetation Dynamics on Linear Features Using Airborne Laser Scanning and Ensemble Learning
Narimene Braham, Osvaldo Valeria, Louis Imbeau
Forests (2023) Vol. 14, Iss. 3, pp. 511-511
Open Access | Times Cited: 5

Advanced data mining techniques for landslide susceptibility mapping
Muhammad Bello Ibrahim, Zahiraniza Mustaffa, Abdul‐Lateef Balogun, et al.
Geomatics Natural Hazards and Risk (2021) Vol. 12, Iss. 1, pp. 2430-2461
Open Access | Times Cited: 10

A data-driven method for predicting debris-flow runout zones by integrating multivariate adaptive regression splines and Akaike information criterion
Mi Tian, Lihua Li, Zimin Xiong
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 6
Closed Access | Times Cited: 7

Assessment of Visual Representation Methods of Linear Discontinuous Deformation Zones in the Right-of-Way
Magdalena Wróblewska, Marcin Grygierek
Applied Sciences (2022) Vol. 12, Iss. 5, pp. 2538-2538
Open Access | Times Cited: 6

Contributing factors in initiation of debris flow in Malaysia
Mariatul Kiftiah Ahmad Legiman, Edy Tonnizam Mohamad, Dayang Zulaika Abang Hasbollah, et al.
Physics and Chemistry of the Earth Parts A/B/C (2022) Vol. 129, pp. 103301-103301
Closed Access | Times Cited: 5

Hydrography90m: A new high-resolution global hydrographic dataset
Giuseppe Amatulli, Jaime García Márquez, Tushar Sethi, et al.
(2022)
Open Access | Times Cited: 4

Predicting the Landslide Susceptibility in Eastern Sikkim Himalayan Region, India Using Boosted Regression Tree and REPTree Machine Learning Techniques
Kanu Mandal, Sunil Saha, Sujit Mandal
Geography of the physical environment (2022), pp. 683-707
Closed Access | Times Cited: 3

The use of geodetic measurements in the assessment of the technical condition of road pavement – case study
Magdalena Wróblewska, Marcin Grygierek
Reports on Geodesy and Geoinformatics (2024) Vol. 118, Iss. 1, pp. 41-45
Open Access

Emerging Trends in Flood and Landslide Research: Single Vs Multi-Hazard Disaster Analysis Using GIS
Khairul Azmeel Mohd Sopery, Nur Shazwani Muhammad, Jazuri Abdullah, et al.
Jurnal Kejuruteraan (2022) Vol. 34, Iss. 6, pp. 999-1015
Open Access | Times Cited: 1

Research and Application of Performance Management System in Higher Vocational Colleges Based on Data Mining
Jing Huang
Lecture notes on data engineering and communications technologies (2023), pp. 547-554
Closed Access

Slope stability analysis of post-mining dumps with the use of photogrammetric geometry measurements – a case study
Magdalena Wróblewska, Magdalena Kowalska, M. Łupieżowiec
Archives of Civil Engineering (2023)
Open Access

Comment on essd-2022-9
Giuseppe Amatulli, Jaime García Márquez, Tushar Sethi, et al.
(2022)
Open Access

Comment on essd-2022-9
Giuseppe Amatulli, Jaime García Márquez, Tushar Sethi, et al.
(2022)
Open Access

Comment on essd-2022-9
Giuseppe Amatulli
(2022)
Open Access

Reply on RC2
Giuseppe Amatulli
(2022)
Open Access

Reply on RC1
Giuseppe Amatulli
(2022)
Open Access

Bagging Based Machine Learning Algorithms for Landslide Susceptibility Modeling
Tingyu Zhang, Quan Fu, Hao Wang, et al.
Research Square (Research Square) (2021)
Open Access

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