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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:

Integrating predictive modeling techniques with geospatial data for landslide susceptibility assessment in northern Pakistan
Aamir Asghar, Lijun Su, Bo Zhao, et al.
Journal of Mountain Science (2023) Vol. 20, Iss. 9, pp. 2603-2627
Closed Access | Times Cited: 9

Showing 9 citing articles:

Application of Artificial Intelligence and Remote Sensing for Landslide Detection and Prediction: Systematic Review
Stephen Akosah, Ivan Gratchev, Donghyun Kim, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2947-2947
Open Access | Times Cited: 9
Effect of different mapping units, spatial resolutions, and machine learning algorithms on landslide susceptibility mapping at the township scale
Xiaokang Liu, Shuai Shao, Chen Zhang, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 5
Closed Access | Times Cited: 1
Dynamic intelligent prediction approach for landslide displacement based on biological growth models and CNN-LSTM
Ziqian Wang, Xiangwei Fang, Wengang Zhang, et al.
Journal of Mountain Science (2025) Vol. 22, Iss. 1, pp. 71-88
Closed Access
High-precision landslide susceptibility assessment based on the coupling of IHAOAVOA algorithm and BP neural network
Siyu Liang, Li Li, Yue Qiang, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Evaluating the uncertainty in landslide susceptibility prediction: effect of spatial data variability and evaluation unit choices
Shengwu Qin, Jiasheng Cao, Jingyu Yao, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 3
Closed Access
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
Landslide susceptibility mapping using hybrid machine learning classifiers: a case study of Neelum Valley, Pakistan
Sansar Raj Meena, Muhammad Afaq Hussain, Hafiz Ullah, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 5
Closed Access
Integrating the frequency ratio and index of entropy with an extreme learning machine to map post-earthquake landslide susceptibility: a case study in Xingwen County, China
Hao Zheng, Mingtao Ding, Tao Huang, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access | Times Cited: 3
InSAR phase gradient reveals fault‐zone controls on the spatial distribution of slow‐moving landslides in the active orogenic region of Hazara‐Kashmir, Pakistan
Said Mukhtar Ahmad, Fu Lv, Teng Wang
Earth Surface Processes and Landforms (2024)
Closed Access | Times Cited: 2
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