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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:

Rainfall-Induced Landslide Prediction Using Machine Learning Models: The Case of Ngororero District, Rwanda
Martin Kuradusenge, Santhi Kumaran, Marco Zennaro
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 11, pp. 4147-4147
Open Access | Times Cited: 58

Showing 26-50 of 58 citing articles:

Numerical simulation and safety distance analysis of slope instability of ionic rare earth tailings in different rainy seasons
Jiabo Geng, Zhisong Wang, Xiang Lan, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Advancements, Challenges, and Future Directions in Rainfall-Induced Landslide Prediction: A Comprehensive Review
Do Van Vung, The Viet Tran, Nguyen Duc Ha, et al.
Journal of Engineering and Technological Sciences (2023) Vol. 55, Iss. 4, pp. 466-477
Open Access | Times Cited: 4
Machine Intelligence in Africa: a survey
Hamidou Tembiné, Allahsera Auguste Tapo, Sidy Danioko, et al.
(2024)
Open Access | Times Cited: 1
Influence of high Andean grasslands on landslide reduction in Peru
Franco Cerna Cueva, Katherin Lourdes Uriarte-Barraza, Grecia Isabel Lobaton-Tarazona, et al.
Scientia Agropecuaria (2024) Vol. 15, Iss. 3, pp. 333-348
Open Access | Times Cited: 1
Exceptional Cluster of Simultaneous Shallow Landslides in Rwanda: Context, Triggering Factors, and Potential Warnings
Fils Vainqueur Byiringiro, Marc Jolivet, Olivier Dauteuil, et al.
GeoHazards (2024) Vol. 5, Iss. 4, pp. 1018-1039
Open Access | Times Cited: 1
Predictive Model of Rainfall-Induced Landslides in High-Density Urban Areas of the South Primorsky Region (Russia)
Yu. A. Stepnova, А. А. Степнов, А. В. Коновалов, et al.
Pure and Applied Geophysics (2021) Vol. 179, Iss. 11, pp. 4013-4024
Closed Access | Times Cited: 9
Important considerations in machine learning-based landslide susceptibility assessment under future climate conditions
Yi Han, Shabnam J. Semnani
Acta Geotechnica (2024)
Open Access | Times Cited: 1
Precipitation-Triggered Landslide Prediction in Nepal Using Machine Learning and Deep Learning
Kelsey Doerksen, Yarin Gal, Freddie Kalaitzis, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2023), pp. 4962-4965
Closed Access | Times Cited: 3
Improving Landslides Prediction: Meteorological Data Preprocessing Based on Supervised and Unsupervised Learning
Byron Guerrero-Rodríguez, Jaime Salvador–Meneses, José García‐Rodríguez, et al.
Cybernetics & Systems (2023) Vol. 55, Iss. 6, pp. 1332-1356
Open Access | Times Cited: 3
Landslide Prediction Using Long Short Term Memory(LSTM)Neural Network on time series data in Pakistan
Mehreen Mubashar, Gul Muhammad Khan, Ramla Khan
(2021), pp. 175-181
Closed Access | Times Cited: 7
Machine learning and artificial intelligence models development in rainfall-induced landslide prediction
Hastuadi Harsa, Anistia Malinda Hidayat, Adi Mulsandi, et al.
IAES International Journal of Artificial Intelligence (2022) Vol. 12, Iss. 1, pp. 262-262
Open Access | Times Cited: 5
Landslide Displacement Prediction Based on Transfer Learning and Bi-GRU
Haiqing Zheng, Mengfan Duan, Xiaoyun Sun, et al.
Journal of Sensors (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 4
Smart city solutions and climate change adaptation: An overview
Ayyoob Sharifi, Amir Reza Khavarian-Garmsir
Elsevier eBooks (2023), pp. 69-92
Closed Access | Times Cited: 2
General Paradigm of Edge-Based Internet of Things Data Mining for Geohazard Prevention
Jiayu Qin, Gang Mei, Zhengjing Ma, et al.
Big Data (2021) Vol. 9, Iss. 5, pp. 373-389
Closed Access | Times Cited: 5
Experimental Study of Site-Specific Soil Water Content and Rainfall Inducing Shallow Landslides: Case of Gakenke District, Rwanda
Martin Kuradusenge, Santhi Kumaran, Marco Zennaro, et al.
Geofluids (2021) Vol. 2021, pp. 1-18
Open Access | Times Cited: 5
Earthquake intensity estimation via an artificial neural network: Examination of different network designs and training algorithms
Aslı SEBATLI SAĞLAM, Fatih Çavdur
Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi (2022) Vol. 37, Iss. 4, pp. 2133-2146
Open Access | Times Cited: 3
Landslide displacement prediction based on CEEMDAN and grey wolf optimized-support vector regression model
Chenhui Wang, Gaocong Lin, Wei Guo, et al.
Frontiers in Earth Science (2022) Vol. 10
Open Access | Times Cited: 3
Landslide early warning systems: a perspective from the internet of things
Vladimir Henao-Céspedes, Yeison Alberto Garcés-Gómez, María Nancy Marín Olaya
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2022) Vol. 13, Iss. 2, pp. 2214-2214
Open Access | Times Cited: 3
Implementation of a Self-hosted Internet of Things Solution on Personal Computer
Slavomír Matúška, Peter Brída, Ivana Brídová
(2023), pp. 1-6
Closed Access | Times Cited: 1
Development of Soil Erosion Susceptibility Model Using UAV Photogrammetry in a Timber Harvesting Area, South Korea
Jeong-Jae Kim, Ikhyun Kim, Byoungkoo Choi
(2023)
Open Access | Times Cited: 1
Bibliometric Study : Rainfall Classification - Prediction using Machine Learning Methods
Ozzy Secio Riza, Ari Nuryadi
Digital Zone Jurnal Teknologi Informasi dan Komunikasi (2023) Vol. 14, Iss. 2, pp. 206-218
Open Access | Times Cited: 1
Prediction of rainfall-induced landslide using machine learning models along highway Bandipora to Gurez road, India
Aadil Manzoor Nanda, Fayaz A. Lone, Pervez Ahmed
Natural Hazards (2024) Vol. 120, Iss. 7, pp. 6169-6197
Open Access
Harnessing the Power of Machine Learning Algorithms for Landslide Susceptibility Prediction
Shivam Krishana, Monika Khandelwal, Ranjeet Kumar Rout, et al.
Lecture notes in networks and systems (2024), pp. 95-104
Closed Access
Using distributed root soil moisture data to enhance the performance of rainfall thresholds for landslide warning
Yuxin Guo, Zhanya Xu, Shuang Zhu, et al.
Natural Hazards (2022) Vol. 115, Iss. 2, pp. 1167-1192
Closed Access | Times Cited: 2
Predicting Climate Change Related Extreme Natural Disasters Using Machine Learning in Zambia
David Phiri, Christopher Chembe
Zambia ICT Journal (2022) Vol. 6, Iss. 1, pp. 18-24
Open Access | Times Cited: 2

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