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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:

Comparison of multiple conventional and unconventional machine learning models for landslide susceptibility mapping of Northern part of Pakistan
Bilal Aslam, Adeel Zafar, Umer Khalil
Environment Development and Sustainability (2022)
Closed Access | Times Cited: 19

Showing 19 citing articles:

Improving landslide susceptibility prediction through ensemble recursive feature elimination and meta-learning framework
Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 3
An Integrated Approach of Machine Learning, Remote Sensing, and GIS Data for the Landslide Susceptibility Mapping
Israr Ullah, Bilal Aslam, Syed Hassan Iqbal Ahmad Shah, et al.
Land (2022) Vol. 11, Iss. 8, pp. 1265-1265
Open Access | Times Cited: 68
Comparative analysis of multiple conventional neural networks for landslide susceptibility mapping
Bilal Aslam, Adeel Zafar, Umer Khalil
Natural Hazards (2022) Vol. 115, Iss. 1, pp. 673-707
Closed Access | Times Cited: 51
Application of GIS-based data-driven bivariate statistical models for landslide prediction: a case study of highly affected landslide prone areas of Teesta River basin
Indrajit Poddar, Ranjan Roy
Quaternary Science Advances (2023) Vol. 13, pp. 100150-100150
Open Access | Times Cited: 19
Machine learning-enhanced evaluation of food security across 169 economies
Ruoyu Xiong, Huan Xin Peng, Xi Chen, et al.
Environment Development and Sustainability (2024) Vol. 26, Iss. 10, pp. 26971-27000
Closed Access | Times Cited: 6
Essential insights into decision mechanism of landslide susceptibility mapping based on different machine learning models
Deliang Sun, Yuekai Ding, Jialan Zhang, et al.
Geocarto International (2022) Vol. 38, Iss. 1, pp. 1-29
Open Access | Times Cited: 22
An integrated approach based landslide susceptibility mapping: case of Muzaffarabad region, Pakistan
Mubeen ul Basharat, Junaid Ali Khan, Hazem Ghassan Abdo, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 11
Evaluation of linear, nonlinear and ensemble machine learning models for landslide susceptibility assessment in southwest China
Bingwei Wang, Qigen Lin, Tong Jiang, et al.
Geocarto International (2022) Vol. 38, Iss. 1
Open Access | Times Cited: 17
Spatial prediction and mapping of landslide susceptibility using machine learning models
Yu Chen
Natural Hazards (2025)
Closed Access
Machine Learning-assisted Investigation of Landslide Susceptibility for Aglar Watershed in the Lesser Himalaya Region
Dipika Keshri, Shovan Lal Chattoraj, Rakesh Kumar Pandey, et al.
Journal of the Geological Society of India (2025) Vol. 101, Iss. 3, pp. 384-396
Closed Access
Selection of optimal factor combinations for typhoon-induced landslides susceptibility mapping using machine learning interpretability
Fei Wang, Liwei Zhou, Jianjun Zhao, et al.
Geomorphology (2025), pp. 109855-109855
Closed Access
Landslide Susceptibility Assessment by Machine Learning and Frequency Ratio Methods Using XRAIN Radar-Acquired Rainfall Data
José Maria dos Santos Rodrigues Neto, Netra Prakash Bhandary
Geosciences (2024) Vol. 14, Iss. 6, pp. 171-171
Open Access | Times Cited: 3
Geo-Environmental Risk Assessment of Sand Dunes Encroachment Hazards in Arid Lands Using Machine Learning Techniques
Ahmed K. Abd El Aal, Hossam M. GabAllah, Hanaa A. Megahed, et al.
Sustainability (2024) Vol. 16, Iss. 24, pp. 11139-11139
Open Access | Times Cited: 2
Semi-quantitative landslide risk assessment of district Muzaffarabad, northwestern Himalayas, Pakistan
Muhammad Tayyib Riaz, Muhammad Basharat, Maria Teresa Brunetti, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 9, pp. 3551-3570
Closed Access | Times Cited: 5
Spatio-temporal evolution of landslides along transportation corridors of Muzaffarabad, Northern Pakistan
Yasir Sarfraz, Muhammad Basharat, Muhammad Tayyib Riaz, et al.
Environmental Earth Sciences (2023) Vol. 82, Iss. 5
Closed Access | Times Cited: 5
Evaluating the influence of road construction on landslide susceptibility in Saudi Arabia’s mountainous terrain: a Bayesian-optimised deep learning approach with attention mechanism and sensitivity analysis
Saeed Alqadhi, Javed Mallick, Hoang Thi Hang, et al.
Environmental Science and Pollution Research (2023) Vol. 31, Iss. 2, pp. 3169-3194
Closed Access | Times Cited: 4
Rainfall Induced Landslide Detection in Study Area using Machine Learning Model
Pradeep Singh Rawat, Anuj Kumar Yadav, Varun Barthwal, et al.
(2023), pp. 734-739
Closed Access | Times Cited: 1
Improving landslide susceptibility prediction through ensemble Recursive Feature Elimination and meta-learning framework
Krishnagopal Halder, Amit Kumar Srivast, Anitabha Ghosh, et al.
Research Square (Research Square) (2024)
Open Access
Landslide Susceptibility Mapping Using Multi-criteria Decision-Making Methods in Sylhet Division
Md. Talha, Md. Mahmudul Hasan, N. M. Refat Nasher
Disaster risk reduction (2024), pp. 209-236
Closed Access
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