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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:

Landslide Susceptibility Mapping Using GIS-Based Data Mining Algorithms
Vali Vakhshoori, Hamid Reza Pourghasemi, Mohammad Amin Zare, et al.
Water (2019) Vol. 11, Iss. 11, pp. 2292-2292
Open Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Comparisons of heuristic, general statistical and machine learning models for landslide susceptibility prediction and mapping
Faming Huang, Zhongshan Cao, Jianfei Guo, et al.
CATENA (2020) Vol. 191, pp. 104580-104580
Closed Access | Times Cited: 389
GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms
Sk Ajim Ali, Farhana Parvin, Jana Vojteková, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 2, pp. 857-876
Open Access | Times Cited: 204
A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mapping
Quoc Bao Pham, Yacine Achour, Sk Ajim Ali, et al.
Geomatics Natural Hazards and Risk (2021) Vol. 12, Iss. 1, pp. 1741-1777
Open Access | Times Cited: 115
GIS-Based Expert Knowledge for Landslide Susceptibility Mapping (LSM): Case of Mostaganem Coast District, West of Algeria
Rachida Senouci, Nasr-Eddine Taïbi, Ana Cláudia Teodoro, et al.
Sustainability (2021) Vol. 13, Iss. 2, pp. 630-630
Open Access | Times Cited: 90
Comparing classical statistic and machine learning models in landslide susceptibility mapping in Ardanuc (Artvin), Turkey
Halil Akıncı, Mustafa Zeybek
Natural Hazards (2021) Vol. 108, Iss. 2, pp. 1515-1543
Closed Access | Times Cited: 76
Automated Machine Learning-Based Landslide Susceptibility Mapping for the Three Gorges Reservoir Area, China
Junwei Ma, Dongze Lei, Zhiyuan Ren, et al.
Mathematical Geosciences (2023) Vol. 56, Iss. 5, pp. 975-1010
Closed Access | Times Cited: 36
Comparative Analysis of Tree-Based Ensemble Learning Algorithms for Landslide Susceptibility Mapping: A Case Study in Rize, Turkey
Ayşe Yavuz Özalp, Halil Akıncı, Mustafa Zeybek
Water (2023) Vol. 15, Iss. 14, pp. 2661-2661
Open Access | Times Cited: 29
Assessing landslide susceptibility in Lake Abya catchment, Rift Valley, Ethiopia: A GIS-based frequency ratio analysis
Yonas Oyda, Muralitharan Jothimani, Hailu Regasa
Journal of Degraded and Mining Lands Management (2024) Vol. 11, Iss. 3, pp. 5885-5895
Open Access | Times Cited: 11
Assessing the Prediction Accuracy of Frequency Ratio, Weight of Evidence, Shannon Entropy, and Information Value Methods for Landslide Susceptibility in the Siwalik Hills of Nepal
Bharat Prasad Bhandari, Subodh Dhakal, Ching‐Ying Tsou
Sustainability (2024) Vol. 16, Iss. 5, pp. 2092-2092
Open Access | Times Cited: 9
Random Forest-Based Landslide Susceptibility Mapping in Coastal Regions of Artvin, Turkey
Halil Akıncı, Cem Kılıçoğlu, Sedat Doğan
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 9, pp. 553-553
Open Access | Times Cited: 66
Application of the group method of data handling (GMDH) approach for landslide susceptibility zonation using readily available spatial covariates
Mahdi Panahi, Omid Rahmati, Fatemeh Rezaie, et al.
CATENA (2021) Vol. 208, pp. 105779-105779
Closed Access | Times Cited: 44
Determining the suitable settlement areas in Alanya with GIS-based site selection analyses
Sedat Doğan, Cem Kılıçoğlu, Halil Akıncı, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 11, pp. 29180-29189
Closed Access | Times Cited: 33
Comparison of Machine Learning Methods for Potential Active Landslide Hazards Identification with Multi-Source Data
Xiangxiang Zheng, Guojin He, Shanshan Wang, et al.
ISPRS International Journal of Geo-Information (2021) Vol. 10, Iss. 4, pp. 253-253
Open Access | Times Cited: 35
Effect of time and space partitioning strategies of samples on regional landslide susceptibility modelling
Kirti Khanna, Tapas R. Martha, Priyom Roy, et al.
Landslides (2021) Vol. 18, Iss. 6, pp. 2281-2294
Closed Access | Times Cited: 30
A hybrid model using data mining and multi-criteria decision-making methods for landslide risk mapping at Golestan Province, Iran
Elham Rafiei Sardooi, Ali Azareh, Tayyebeh Mesbahzadeh, et al.
Environmental Earth Sciences (2021) Vol. 80, Iss. 15
Open Access | Times Cited: 30
A Comparison Study of Landslide Susceptibility Spatial Modeling Using Machine Learning
Nurwatik Nurwatik, Muhammad Hidayatul Ummah, Agung Budi Cahyono, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 12, pp. 602-602
Open Access | Times Cited: 20
The influence of the selection of non-geological disasters sample spatial range on the evaluation of environmental geological disasters susceptibility: a case study of Liulin County
Jianping Chen, Zepeng Wang, Wei Chen, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 15, pp. 44756-44772
Closed Access | Times Cited: 10
Considering tectonic uplift in landslide susceptibility assessment using MaxEnt model: a case study of Trishuli River watershed
Yidan Huang, Urusha Tyata, Liang Dong, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 7
Closed Access
Machine Learning Method Application to Detect Predisposing Factors to Open-Pit Landslides: The Sijiaying Iron Mine Case Study
Jiang Li, Zhuoying Tan, Naigen Tan, et al.
Land (2025) Vol. 14, Iss. 4, pp. 678-678
Open Access
Landslide hazard zonation using advanced machine learning algorithms based on statistical models (Case study: Sarvabad, Iran)
Himan Rastkhadiv, Baharak Motamedvaziri, Seyed Hamed Javadi, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Landslides and flood multi-hazard assessment using machine learning techniques
Ahmed M. Youssef, Ali M. Mahdi, Hamid Reza Pourghasemi
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 9
Closed Access | Times Cited: 16
Regional-scale landslide modeling using machine learning and GIS: a case study for Idukki district, Kerala, India
M. Dhanya, G. Nithya, S. Sreekala, et al.
Natural Hazards (2024) Vol. 120, Iss. 11, pp. 9935-9956
Closed Access | Times Cited: 3
Investigating the Effects of Different Data Classification Methods on Landslide Susceptibility Mapping
Halil Akıncı, Ayşe Yavuz Özalp
Advances in Space Research (2024)
Closed Access | Times Cited: 3
Remote Sensing Approaches and Related Techniques to Map and Study Landslides
Ram L. Ray, Maurizio Lazzari, Tolulope Olutimehin
IntechOpen eBooks (2020)
Open Access | Times Cited: 21
Machine learning models for wetland habitat vulnerability in mature Ganges delta
Swades Pal, Sandipta Debanshi
Environmental Science and Pollution Research (2021) Vol. 28, Iss. 15, pp. 19121-19146
Closed Access | Times Cited: 20
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