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:

Shallow landslide susceptibility assessment under future climate and land cover changes: A case study from southwest China
Zizheng Guo, Joaquin V. Ferrer, Marcel Hürlimann, et al.
Geoscience Frontiers (2023) Vol. 14, Iss. 4, pp. 101542-101542
Open Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

PSLSA v2.0: An automatic Python package integrating machine learning models for regional landslide susceptibility assessment
Zizheng Guo, Haojie Wang, Jun He, et al.
Environmental Modelling & Software (2025) Vol. 186, pp. 106367-106367
Closed Access | Times Cited: 5

Tempo-Spatial Landslide Susceptibility Assessment from the Perspective of Human Engineering Activity
Taorui Zeng, Zizheng Guo, Linfeng Wang, et al.
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4111-4111
Open Access | Times Cited: 29

Dynamic landslide susceptibility mapping based on the PS-InSAR deformation intensity
Bijing Jin, Taorui Zeng, Kunlong Yin, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 5, pp. 7872-7888
Open Access | Times Cited: 11

Assessing the impact of climate change on rainfall-triggered landslides: a case study in California
Shabnam J. Semnani, Yi Han, C. Bonfils, et al.
Landslides (2025)
Open Access | Times Cited: 1

GIS-based landslide susceptibility mapping using AHP, FMEA, and Pareto systematic analysis in central Yalova, Türkiye
Burak Demirel, Eray Yıldırım, Eray Can
Engineering Science and Technology an International Journal (2025) Vol. 64, pp. 102013-102013
Closed Access | Times Cited: 1

Landslide susceptibility assessment using locally weighted learning integrated with machine learning algorithms
Haoyuan Hong
Expert Systems with Applications (2023) Vol. 237, pp. 121678-121678
Closed Access | Times Cited: 18

Double-index rainfall warning and probabilistic physically based model for fast-moving landslide hazard analysis in subtropical-typhoon area
Taorui Zeng, Quanbing Gong, Liyang Wu, et al.
Landslides (2023) Vol. 21, Iss. 4, pp. 753-773
Closed Access | Times Cited: 17

A physics-informed machine learning solution for landslide susceptibility mapping based on three-dimensional slope stability evaluation
Yunhao Wang, Luqi Wang, Wengang Zhang, et al.
Journal of Central South University (2024)
Closed Access | Times Cited: 8

From spatio-temporal landslide susceptibility to landslide risk forecast
Tengfei Wang, Ashok Dahal, Zhice Fang, et al.
Geoscience Frontiers (2023) Vol. 15, Iss. 2, pp. 101765-101765
Open Access | Times Cited: 15

A GIS-Based Approach for Shallow Landslides Risk Assessment in the Giampilieri and Briga Catchments Areas (Sicily, Italy)
Giulio Vegliante, Valerio Baiocchi, Luca Falconi, et al.
GeoHazards (2024) Vol. 5, Iss. 1, pp. 209-232
Open Access | Times Cited: 6

Landslide susceptibility modelling in the Doda Kishtwar Ramban (DKR) region of Jammu and Kashmir using Remote Sensing and Geographic Information System
Ajay Kumar Taloor, Abid Abraham, Gurnam Parsad
Quaternary Science Advances (2024) Vol. 14, pp. 100189-100189
Open Access | Times Cited: 5

Advanced risk assessment framework for land subsidence impacts on transmission towers in salt lake region
Bijing Jin, Taorui Zeng, Tengfei Wang, et al.
Environmental Modelling & Software (2024) Vol. 177, pp. 106058-106058
Closed Access | Times Cited: 5

What ecological factors to integrate in landslide susceptibility mapping? An exploratory review of current trends in support of eco-DRR
Mélanie Broquet, Pedro Cabral, Felipe S. Campos
Progress in Disaster Science (2024) Vol. 22, pp. 100328-100328
Open Access | Times Cited: 5

Quantifying forest land-use changes using remote-sensing and CA-ANN model of Madhupur Sal Forests, Bangladesh
Md. Yachin Islam, N. M. Refat Nasher, K. H. Razimul Karim, et al.
Heliyon (2023) Vol. 9, Iss. 5, pp. e15617-e15617
Open Access | Times Cited: 11

A hybrid approach combining physics-based model with extreme value analysis for temporal probability of rainfall-triggered landslide
Ho-Hong-Duy Nguyen, Ananta Man Singh Pradhan, Chang-Ho Song, et al.
Landslides (2024)
Closed Access | Times Cited: 4

Landslide Hazard Is Projected to Increase Across High Mountain Asia
Thomas Stanley, Rachel B. Soobitsky, Pukar Amatya, et al.
Earth s Future (2024) Vol. 12, Iss. 10
Open Access | Times Cited: 4

A Novel Heterogeneous Ensemble Framework Based on Machine Learning Models for Shallow Landslide Susceptibility Mapping
Haozhe Tang, Changming Wang, Silong An, et al.
Remote Sensing (2023) Vol. 15, Iss. 17, pp. 4159-4159
Open Access | Times Cited: 10

A python system for regional landslide susceptibility assessment by integrating machine learning models and its application
Zizheng Guo, Fei Guo, Yu Zhang, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21542-e21542
Open Access | Times Cited: 10

Integrating dynamic factors for predicting future landslide susceptibility
Suraj Lamichhane, Arhat Ratna Kansakar, Nirajan Devkota, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 3
Closed Access

Climate change has increased rainfall-induced landslide damages in central China
Zhice Fang, Adriano Barasal Morales, Yi Wang, et al.
International Journal of Disaster Risk Reduction (2025), pp. 105320-105320
Closed Access

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